Skip to main content
Erschienen in: Wireless Networks 1/2020

09.08.2018

Optimized and load balanced clustering for wireless sensor networks to increase the lifetime of WSN using MADM approaches

verfasst von: Prince Rajpoot, Pragya Dwivedi

Erschienen in: Wireless Networks | Ausgabe 1/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The power utilization has verified as a major problem in wireless sensor networks (WSNs). Many researchers have provided efficient solutions for power utilization. Clustering is one of them that helps in topology control and ensures efficient power utilization. However, the clustering method should be effective that could obtain the best clusters. Comprehensive evolution of clustering protocols for the lifetime of sensor nodes is a unique approach to the total enhancement of the lifetime of WSNs. There are many conflicting factors that affect the efficiency of clustering, i.e. distance between CH and the base station, distance form node to cluster head (CH), maximum residual energy of CHs, etc. The coordination among these factors has a capability to insure the optimal power utilization by reducing power consumption and load balancing among the nodes and CHs. In this paper, we have considered total sixteen such factors and made coordination among them to select the best CHs. Multiple attribute decision-making methods are used to choose best set of CHs from the available alternatives that can fulfill the condition of coordination efficiently. The experimental results validate that the coordination among these sixteen factors put up one of the best demonstration for choosing best CHs.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Zhao, F., Guibas, L. J., & Guibas, L. (2004). Wireless sensor networks: An information processing approach. Burlington: Morgan Kaufmann. Zhao, F., Guibas, L. J., & Guibas, L. (2004). Wireless sensor networks: An information processing approach. Burlington: Morgan Kaufmann.
2.
Zurück zum Zitat Raghavendra, C. S., Sivalingam, K. M., & Znati, T. (Eds.). (2006). Wireless sensor networks. Berlin: Springer. Raghavendra, C. S., Sivalingam, K. M., & Znati, T. (Eds.). (2006). Wireless sensor networks. Berlin: Springer.
3.
Zurück zum Zitat Akyildiz, I. F., & Kasimoglu, I. H. (2004). Wireless sensor and actor networks: Research challenges. Ad Hoc Networks, 2(4), 351–67. Akyildiz, I. F., & Kasimoglu, I. H. (2004). Wireless sensor and actor networks: Research challenges. Ad Hoc Networks, 2(4), 351–67.
4.
Zurück zum Zitat Chilamkurti, N., Zeadally, S., Vasilakos, A., & Sharma, V. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 1–9. Chilamkurti, N., Zeadally, S., Vasilakos, A., & Sharma, V. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 1–9.
5.
Zurück zum Zitat Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. V. (2016). Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers, 65(1), 244–55.MathSciNetMATH Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. V. (2016). Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers, 65(1), 244–55.MathSciNetMATH
6.
Zurück zum Zitat Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion+ dilation in networks via “quality of routing games”. IEEE Transactions on Computers, 61(9), 1270–83.MathSciNetMATH Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion+ dilation in networks via “quality of routing games”. IEEE Transactions on Computers, 61(9), 1270–83.MathSciNetMATH
7.
Zurück zum Zitat Dvir, A., & Vasilakos, A. V. (2010). Backpressure-based routing protocol for DTNs. In InACM SIGCOMM computer communication ACM (Vol. 40, No. 4, pp. 405–406). Dvir, A., & Vasilakos, A. V. (2010). Backpressure-based routing protocol for DTNs. In InACM SIGCOMM computer communication ACM (Vol. 40, No. 4, pp. 405–406).
8.
Zurück zum Zitat Yao, Y., Cao, Q., & Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In 10th international conference IEEE mobile ad-hoc and sensor systems (MASS) (pp. 182–190). Yao, Y., Cao, Q., & Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In 10th international conference IEEE mobile ad-hoc and sensor systems (MASS) (pp. 182–190).
9.
Zurück zum Zitat Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., & Leung, K. (2013). A survey on the IETF protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications, 20(6), 91–8. Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., & Leung, K. (2013). A survey on the IETF protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications, 20(6), 91–8.
10.
Zurück zum Zitat Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–73. Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–73.
11.
Zurück zum Zitat Luo, X., Hu, Y., & Zhu, Y. (2014). Topology evolution model for wireless multi-hop network based on socially inspired mechanism. Physica A: Statistical Mechanics and its Applications, 416, 639–50. Luo, X., Hu, Y., & Zhu, Y. (2014). Topology evolution model for wireless multi-hop network based on socially inspired mechanism. Physica A: Statistical Mechanics and its Applications, 416, 639–50.
12.
Zurück zum Zitat Li, M., Li, Z., & Vasilakos, A. V. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–57. Li, M., Li, Z., & Vasilakos, A. V. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–57.
13.
Zurück zum Zitat Hu, X., Li, Y., & Xu, H. (2017). Multi-mode clustering model for hierarchical wireless sensor networks. Physica A: Statistical Mechanics and its Applications, 469, 665–75. Hu, X., Li, Y., & Xu, H. (2017). Multi-mode clustering model for hierarchical wireless sensor networks. Physica A: Statistical Mechanics and its Applications, 469, 665–75.
14.
Zurück zum Zitat Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–54. Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–54.
15.
Zurück zum Zitat Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. (2014). Security of the internet of things: Perspectives and challenges. Wireless Networks, 20(8), 2481–501. Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. (2014). Security of the internet of things: Perspectives and challenges. Wireless Networks, 20(8), 2481–501.
16.
Zurück zum Zitat Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for Internet of Things. Journal of Network and Computer Application, 42, 120–34. Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for Internet of Things. Journal of Network and Computer Application, 42, 120–34.
17.
Zurück zum Zitat Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Communications Magazine, 51(7), 107–13. Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Communications Magazine, 51(7), 107–13.
18.
Zurück zum Zitat Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A. V., & Rong, X. (2015). Data mining for the internet of things: Literature review and challenges. International Journal of Distributed Sensor Networks, 11(8), 431047. Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A. V., & Rong, X. (2015). Data mining for the internet of things: Literature review and challenges. International Journal of Distributed Sensor Networks, 11(8), 431047.
19.
Zurück zum Zitat Vasilakos, A. V., Li, Z., Simon, G., & You, W. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1. Vasilakos, A. V., Li, Z., Simon, G., & You, W. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1.
20.
Zurück zum Zitat Sengupta, S., Das, S., Nasir, M., Vasilakos, A. V., & Pedrycz, W. (2012). An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(6), 1093–1102. Sengupta, S., Das, S., Nasir, M., Vasilakos, A. V., & Pedrycz, W. (2012). An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(6), 1093–1102.
21.
Zurück zum Zitat Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In 2011 8th annual IEEE communications society conference sensor, mesh and ad hoc communications and networks (SECON) (pp. 46–54). Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In 2011 8th annual IEEE communications society conference sensor, mesh and ad hoc communications and networks (SECON) (pp. 46–54).
22.
Zurück zum Zitat Yao, Y., Cao, Q., & Vasilakos, A. V. (2015). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks. IEEE/ACM Transactions on Networking (TON), 23(3), 810–23. Yao, Y., Cao, Q., & Vasilakos, A. V. (2015). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks. IEEE/ACM Transactions on Networking (TON), 23(3), 810–23.
23.
Zurück zum Zitat Xiao, Y., Peng, M., Gibson, J., Xie, G. G., Du, D. Z., & Vasilakos, A. V. (2012). Tight performance bounds of multihop fair access for MAC protocols in wireless sensor networks and underwater sensor networks. IEEE Transactions on Mobile Computing, 10, 1538–54. Xiao, Y., Peng, M., Gibson, J., Xie, G. G., Du, D. Z., & Vasilakos, A. V. (2012). Tight performance bounds of multihop fair access for MAC protocols in wireless sensor networks and underwater sensor networks. IEEE Transactions on Mobile Computing, 10, 1538–54.
24.
Zurück zum Zitat Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–70. Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–70.
25.
Zurück zum Zitat Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–79. Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–79.
26.
Zurück zum Zitat Kuila, P., & Jana, P. K. (2014). Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach. Engineering Applications of Artificial Intelligence, 33, 127–40. Kuila, P., & Jana, P. K. (2014). Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach. Engineering Applications of Artificial Intelligence, 33, 127–40.
27.
Zurück zum Zitat Wei, G., Ling, Y., Guo, B., Xiao, B., & Vasilakos, A. V. (2011). Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter. Computer Communications, 34(6), 793–802. Wei, G., Ling, Y., Guo, B., Xiao, B., & Vasilakos, A. V. (2011). Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter. Computer Communications, 34(6), 793–802.
28.
Zurück zum Zitat Liu, X. Y., Zhu, Y., Kong, L., Liu, C., Gu, Y., Vasilakos, A. V., et al. (2015). CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(8), 2188–97. Liu, X. Y., Zhu, Y., Kong, L., Liu, C., Gu, Y., Vasilakos, A. V., et al. (2015). CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(8), 2188–97.
29.
Zurück zum Zitat Zhou, L., Naixue, X., Shu, L., Vasilakos, A., & Yeo, S. S. (2010). Context-aware middleware for multimedia services in heterogeneous networks. IEEE Intelligent Systems, 25(2), 40–47. Zhou, L., Naixue, X., Shu, L., Vasilakos, A., & Yeo, S. S. (2010). Context-aware middleware for multimedia services in heterogeneous networks. IEEE Intelligent Systems, 25(2), 40–47.
30.
Zurück zum Zitat Xu, X., Ansari, R., Khokhar, A., & Vasilakos, A. V. (2015). Hierarchical data aggregation using compressive sensing (HDACS) in WSNs. ACM Transactions on Sensor Networks (TOSN), 11(3), 45. Xu, X., Ansari, R., Khokhar, A., & Vasilakos, A. V. (2015). Hierarchical data aggregation using compressive sensing (HDACS) in WSNs. ACM Transactions on Sensor Networks (TOSN), 11(3), 45.
31.
Zurück zum Zitat Fei, Z., Li, B., Yang, S., Xing, C., Chen, H., & Hanzo, L. (2017). A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems. IEEE Communications Surveys and Tutorials, 1, 550–86. Fei, Z., Li, B., Yang, S., Xing, C., Chen, H., & Hanzo, L. (2017). A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems. IEEE Communications Surveys and Tutorials, 1, 550–86.
32.
Zurück zum Zitat Triantaphyllou, E. (2000). Multi-criteria decision making methods. In E. Triantaphyllou (Ed.), InMulti-criteria decision making methods: A comparative study (pp. 5–21). Boston, MA: Springer. Triantaphyllou, E. (2000). Multi-criteria decision making methods. In E. Triantaphyllou (Ed.), InMulti-criteria decision making methods: A comparative study (pp. 5–21). Boston, MA: Springer.
33.
Zurück zum Zitat Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making. Lecture notes in economics and mathematical systems (vol. 186). Berlin, Heidelberg: Springer. Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making. Lecture notes in economics and mathematical systems (vol. 186). Berlin, Heidelberg: Springer.
34.
Zurück zum Zitat Baker, D., Ephremides, A., & Flynn, J. (1984). The design and simulation of a mobile radio network with distributed control. IEEE Journal on Selected Areas in Communications, 2(1), 226–37. Baker, D., Ephremides, A., & Flynn, J. (1984). The design and simulation of a mobile radio network with distributed control. IEEE Journal on Selected Areas in Communications, 2(1), 226–37.
35.
Zurück zum Zitat Basagni, S. (1999). Distributed clustering for ad hoc networks. Proceedings, 4th International Symposium Parallel Architectures, Algorithms, and Networks, (I-SPAN’99) (pp. 310-315). IEEE. Basagni, S. (1999). Distributed clustering for ad hoc networks. Proceedings, 4th International Symposium Parallel Architectures, Algorithms, and Networks, (I-SPAN’99) (pp. 310-315). IEEE.
36.
Zurück zum Zitat Amis, A. D., Prakash, R., Vuong, T. H., & Huynh, D. T. (2000). Max-min d-cluster formation in wireless ad hoc networks. In INFOCOM 2000. Nineteenth annual joint conference of the IEEE computer and communications societies proceedings (Vol. 1, pp. 32–41). Amis, A. D., Prakash, R., Vuong, T. H., & Huynh, D. T. (2000). Max-min d-cluster formation in wireless ad hoc networks. In INFOCOM 2000. Nineteenth annual joint conference of the IEEE computer and communications societies proceedings (Vol. 1, pp. 32–41).
37.
Zurück zum Zitat Demirbas, M., Arora, A., & Mittal, V. (2004). FLOC: A fast local clustering service for wireless sensor networks. Workshop on dependability issues in wireless ad hoc networks and sensor networks (DIWANS/DSN) (pp. 1–6). Demirbas, M., Arora, A., & Mittal, V. (2004). FLOC: A fast local clustering service for wireless sensor networks. Workshop on dependability issues in wireless ad hoc networks and sensor networks (DIWANS/DSN) (pp. 1–6).
38.
Zurück zum Zitat Chan, H., & Perrig, A. (2004). ACE: An emergent algorithm for highly uniform cluster formation. European workshop on wireless sensor networks (pp. 154–171). Berlin, Heidelberg: Springer. Chan, H., & Perrig, A. (2004). ACE: An emergent algorithm for highly uniform cluster formation. European workshop on wireless sensor networks (pp. 154–171). Berlin, Heidelberg: Springer.
39.
Zurück zum Zitat Ding, P., Holliday, J., & Celik, A. (2005). Distributed energy-efficient hierarchical clustering for wireless sensor networks. In International conference on distributed computing in sensor systems (pp. 322–339). Berlin, Heidelberg: Springer. Ding, P., Holliday, J., & Celik, A. (2005). Distributed energy-efficient hierarchical clustering for wireless sensor networks. In International conference on distributed computing in sensor systems (pp. 322–339). Berlin, Heidelberg: Springer.
40.
Zurück zum Zitat Bandyopadhyay, S., & Coyle, E. J. (2003). An energy efficient hierarchical clustering algorithm for wireless sensor networks. In INFOCOM 2003. 22nd annual joint conference of the IEEE computer and communications (Vol. 3, pp. 1713–1723). IEEE Societies. Bandyopadhyay, S., & Coyle, E. J. (2003). An energy efficient hierarchical clustering algorithm for wireless sensor networks. In INFOCOM 2003. 22nd annual joint conference of the IEEE computer and communications (Vol. 3, pp. 1713–1723). IEEE Societies.
41.
Zurück zum Zitat Ye, M., Li, C., Chen, G., & Wu, J. (2005). EECS: An energy efficient clustering scheme in wireless sensor networks. In 24th IEEE international performance, computing, and communications conference, IPCCC 2005 (pp. 535–540). Ye, M., Li, C., Chen, G., & Wu, J. (2005). EECS: An energy efficient clustering scheme in wireless sensor networks. In 24th IEEE international performance, computing, and communications conference, IPCCC 2005 (pp. 535–540).
42.
Zurück zum Zitat Youssef, A., Agrawala, A., & Younis, M. (2005). Accurate anchor-free node localization in wireless sensor networks. In 24th IEEE international performance, computing, and communications conference, IPCCC 2005 (pp. 465–470). Youssef, A., Agrawala, A., & Younis, M. (2005). Accurate anchor-free node localization in wireless sensor networks. In 24th IEEE international performance, computing, and communications conference, IPCCC 2005 (pp. 465–470).
43.
Zurück zum Zitat Yuan, H. Y., Yang, S. Q., & Yi, Y. Q. (2011). An energy-efficient unequal clustering method for wireless sensor networks. In International conference on computer and management (CAMAN) (pp. 1–4). Yuan, H. Y., Yang, S. Q., & Yi, Y. Q. (2011). An energy-efficient unequal clustering method for wireless sensor networks. In International conference on computer and management (CAMAN) (pp. 1–4).
44.
Zurück zum Zitat Comeau, F., Sivakumar, S. C., Robertson, W., & Phillips, W. J. (2006). Energy conserving architectures and algorithms for wireless sensor networks. In System Sciences, HICSS’06. Proceedings of the 39th annual Hawaii international conference (Vol. 9, p. 236c). IEEE. Comeau, F., Sivakumar, S. C., Robertson, W., & Phillips, W. J. (2006). Energy conserving architectures and algorithms for wireless sensor networks. In System Sciences, HICSS’06. Proceedings of the 39th annual Hawaii international conference (Vol. 9, p. 236c). IEEE.
45.
Zurück zum Zitat Yi, S., Heo, J., Cho, Y., & Hong, J. (2007). PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks. Computer Communications, 30(14–15), 2842–52. Yi, S., Heo, J., Cho, Y., & Hong, J. (2007). PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks. Computer Communications, 30(14–15), 2842–52.
46.
Zurück zum Zitat Kim, D.S., & Chung, Y.J. (2006). Self-organization routing protocol supporting mobile nodes for wireless sensor network. In 1st International Multi-symposiums Computer and Computational Sciences. IMSCCS’06 (pp. 622–626). IEEE. Kim, D.S., & Chung, Y.J. (2006). Self-organization routing protocol supporting mobile nodes for wireless sensor network. In 1st International Multi-symposiums Computer and Computational Sciences. IMSCCS’06 (pp. 622–626). IEEE.
47.
Zurück zum Zitat Renugadevi, G., & Sumithra, M. G. (2013). An analysis on LEACH-mobile protocol for mobile wireless sensor networks. International Journal of Computer Applications, 65(21), 38–42. Renugadevi, G., & Sumithra, M. G. (2013). An analysis on LEACH-mobile protocol for mobile wireless sensor networks. International Journal of Computer Applications, 65(21), 38–42.
48.
Zurück zum Zitat Kumar, G. S., Vinu, P. M., & Jacob, K. P. (2008). Mobility metric based leach-mobile protocol. In 16th International conference advanced computing and communications. ADCOM 2008 (pp. 248–253). IEEE. Kumar, G. S., Vinu, P. M., & Jacob, K. P. (2008). Mobility metric based leach-mobile protocol. In 16th International conference advanced computing and communications. ADCOM 2008 (pp. 248–253). IEEE.
49.
Zurück zum Zitat Corn, J., & Bruce, J. W. (2017). Clustering algorithm for improved network lifetime of mobile wireless sensor networks. In International conference on computing, networking and communications (ICNC) (pp. 1063–1067). IEEE. Corn, J., & Bruce, J. W. (2017). Clustering algorithm for improved network lifetime of mobile wireless sensor networks. In International conference on computing, networking and communications (ICNC) (pp. 1063–1067). IEEE.
50.
Zurück zum Zitat Xiangning, F., & Yulin, S. (2007). Improvement on LEACH protocol of wireless sensor network. In International conference on sensor technologies and applications (SensorComm 2007) (pp. 260–264). Valenica: Spain. Xiangning, F., & Yulin, S. (2007). Improvement on LEACH protocol of wireless sensor network. In International conference on sensor technologies and applications (SensorComm 2007) (pp. 260–264). Valenica: Spain.
51.
Zurück zum Zitat Yu-quan, Z., & Lei, W. (2010). Improving the LEACH protocol for wireless sensor networks. In IET Conference Proceedings (pp. 355–359). Yu-quan, Z., & Lei, W. (2010). Improving the LEACH protocol for wireless sensor networks. In IET Conference Proceedings (pp. 355–359).
52.
Zurück zum Zitat Li, Y. Z., Zhang, A. L., & Liang, Y. Z. (2013). Improvement of leach protocol for wireless sensor networks. In 3rd international conference instrumentation, measurement, computer, communication and control (IMCCC) (pp. 322–326). IEEE Li, Y. Z., Zhang, A. L., & Liang, Y. Z. (2013). Improvement of leach protocol for wireless sensor networks. In 3rd international conference instrumentation, measurement, computer, communication and control (IMCCC) (pp. 322–326). IEEE
53.
Zurück zum Zitat Ma, X. W., & Yu, X. (2013). Improvement on LEACH protocol of wireless sensor network. In Applied mechanics and materials (pp. 1738–1742). Trans Tech Publications. Ma, X. W., & Yu, X. (2013). Improvement on LEACH protocol of wireless sensor network. In Applied mechanics and materials (pp. 1738–1742). Trans Tech Publications.
54.
Zurück zum Zitat Koucheryavy, A., Salim, A., & Osamy, W. (2009). Enhanced LEACH protocol for wireless sensor networks. Saint Petersburg: St. Petersburg University of Telecommunication. Koucheryavy, A., Salim, A., & Osamy, W. (2009). Enhanced LEACH protocol for wireless sensor networks. Saint Petersburg: St. Petersburg University of Telecommunication.
55.
Zurück zum Zitat Kumar, D., Aseri, T. C., & Patel, R. B. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Computer Communications, 32(4), 662–667. Kumar, D., Aseri, T. C., & Patel, R. B. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Computer Communications, 32(4), 662–667.
56.
Zurück zum Zitat Qureshi, T. N., Javaid, N., Khan, A. H., Iqbal, A., Akhtar, E., & Ishfaq, M. (2013). BEENISH: Balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks. Procedia Computer Science, 19, 920–925. Qureshi, T. N., Javaid, N., Khan, A. H., Iqbal, A., Akhtar, E., & Ishfaq, M. (2013). BEENISH: Balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks. Procedia Computer Science, 19, 920–925.
57.
Zurück zum Zitat Javaid, N., Qureshi, T. N., Khan, A. H., Iqbal, A., Akhtar, E., & Ishfaq, M. (2013). EDDEEC: Enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks. Procedia Computer Science, 19, 914–919. Javaid, N., Qureshi, T. N., Khan, A. H., Iqbal, A., Akhtar, E., & Ishfaq, M. (2013). EDDEEC: Enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks. Procedia Computer Science, 19, 914–919.
58.
Zurück zum Zitat Jin, S., Zhou, M., & Wu, A.S. (2003). Sensor network optimization using a genetic algorithm. In Proceedings of the 7th world multi-conference on systemics, cybernetics and informatics (pp. 109–116). Jin, S., Zhou, M., & Wu, A.S. (2003). Sensor network optimization using a genetic algorithm. In Proceedings of the 7th world multi-conference on systemics, cybernetics and informatics (pp. 109–116).
59.
Zurück zum Zitat Ferentinos, K. P., Tsiligiridis, T. A., & Arvanitis, K. G. (2005). Energy optimization of wireless sensor networks for environmental measurements. In Proceedings of the international conference on computational intelligence for measurement systems and applications (CIMSA) (Vol. 51, pp. 1031–1051). Ferentinos, K. P., Tsiligiridis, T. A., & Arvanitis, K. G. (2005). Energy optimization of wireless sensor networks for environmental measurements. In Proceedings of the international conference on computational intelligence for measurement systems and applications (CIMSA) (Vol. 51, pp. 1031–1051).
60.
Zurück zum Zitat Lee, D., Lee, W., & Kim, J. (2007). Genetic algorithmic topology control for two-tiered wireless sensor networks. In International conference on computational science (pp. 385–392). Berlin, Heidelberg:Springer. Lee, D., Lee, W., & Kim, J. (2007). Genetic algorithmic topology control for two-tiered wireless sensor networks. In International conference on computational science (pp. 385–392). Berlin, Heidelberg:Springer.
61.
Zurück zum Zitat Nitesh, K., Azharuddin, M., & Jana, P. K. (2015). Energy efficient fault-tolerant clustering algorithm for wireless sensor networks. In International conference on Green computing and internet of things (ICGCIoT) (pp. 234–239). IEEE. Nitesh, K., Azharuddin, M., & Jana, P. K. (2015). Energy efficient fault-tolerant clustering algorithm for wireless sensor networks. In International conference on Green computing and internet of things (ICGCIoT) (pp. 234–239). IEEE.
62.
Zurück zum Zitat Kuila, P., Gupta, S. K., & Jana, P. K. (2013). A novel evolutionary approach for load balanced clustering problem for wireless sensor networks. Swarm and Evolutionary Computation, 12, 48–56. Kuila, P., Gupta, S. K., & Jana, P. K. (2013). A novel evolutionary approach for load balanced clustering problem for wireless sensor networks. Swarm and Evolutionary Computation, 12, 48–56.
63.
Zurück zum Zitat Kuila, P., & Jana, P. K. (2014). A novel differential evolution based clustering algorithm for wireless sensor networks. Applied Soft Computing, 25, 414–25. Kuila, P., & Jana, P. K. (2014). A novel differential evolution based clustering algorithm for wireless sensor networks. Applied Soft Computing, 25, 414–25.
64.
Zurück zum Zitat Saaty, T. L. (2013). Analytic network process. In Encyclopedia of operations research and management science (pp. 64–72). Saaty, T. L. (2013). Analytic network process. In Encyclopedia of operations research and management science (pp. 64–72).
65.
Zurück zum Zitat Yin, Y., Shi, J., Li, Y., & Zhang, P. (2006). Cluster head selection using analytical hierarchy process for wireless sensor networks. In IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications (pp. 1–5). Yin, Y., Shi, J., Li, Y., & Zhang, P. (2006). Cluster head selection using analytical hierarchy process for wireless sensor networks. In IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications (pp. 1–5).
66.
Zurück zum Zitat Durn, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, 34(3), 1787–94. Durn, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, 34(3), 1787–94.
67.
Zurück zum Zitat Azadeh, A., Ghaderi, S. F., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195(2), 775–85.MathSciNetMATH Azadeh, A., Ghaderi, S. F., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195(2), 775–85.MathSciNetMATH
68.
Zurück zum Zitat Wei, C. C., Chien, C. F., & Wang, M. J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47–62. Wei, C. C., Chien, C. F., & Wang, M. J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47–62.
69.
Zurück zum Zitat Saaty, T. L. (1990). Decision making for leaders: The analytic hierarchy process for decisions in a complex world. Pittsburgh: RWS publications. Saaty, T. L. (1990). Decision making for leaders: The analytic hierarchy process for decisions in a complex world. Pittsburgh: RWS publications.
70.
Zurück zum Zitat Hwang, C. L., Lai, Y. J., & Liu, T. Y. (1993). A new approach for multiple objective decision making. Computers and Operations Research, 20(8), 889–99.MATH Hwang, C. L., Lai, Y. J., & Liu, T. Y. (1993). A new approach for multiple objective decision making. Computers and Operations Research, 20(8), 889–99.MATH
71.
Zurück zum Zitat Hamzeloei, F., & Dermany, M. K. (2016). A TOPSIS based cluster head selection for wireless sensor network. Procedia Computer Science, 98, 8–15. Hamzeloei, F., & Dermany, M. K. (2016). A TOPSIS based cluster head selection for wireless sensor network. Procedia Computer Science, 98, 8–15.
72.
Zurück zum Zitat Azad, P., & Sharma, V. (2013). Clusterhead selection using multiple attribute decision making (MADM) approach in wireless sensor networks. In International conference on heterogeneous networking for quality, reliability, security and robustness (pp. 141–154). Berlin, Heidelberg: Springer. Azad, P., & Sharma, V. (2013). Clusterhead selection using multiple attribute decision making (MADM) approach in wireless sensor networks. In International conference on heterogeneous networking for quality, reliability, security and robustness (pp. 141–154). Berlin, Heidelberg: Springer.
73.
Zurück zum Zitat Yildiz, H. U., Temiz, M., & Tavli, B. (2015). Impact of limiting hop count on the lifetime of wireless sensor networks. IEEE Communications Letters, 19(4), 569–72. Yildiz, H. U., Temiz, M., & Tavli, B. (2015). Impact of limiting hop count on the lifetime of wireless sensor networks. IEEE Communications Letters, 19(4), 569–72.
74.
Zurück zum Zitat Pantazis, N. A., Nikolidakis, S. A., & Vergados, D. D. (2013). Energy-efficient routing protocols in wireless sensor networks: A survey. IEEE Communications Surveys and Tutorials, 15(2), 551–91. Pantazis, N. A., Nikolidakis, S. A., & Vergados, D. D. (2013). Energy-efficient routing protocols in wireless sensor networks: A survey. IEEE Communications Surveys and Tutorials, 15(2), 551–91.
75.
Zurück zum Zitat Akhtar, F., & Rehmani, M. H. (2015). Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: A review. Renewable and Sustainable Energy Reviews, 45, 769–84. Akhtar, F., & Rehmani, M. H. (2015). Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: A review. Renewable and Sustainable Energy Reviews, 45, 769–84.
76.
Zurück zum Zitat Amjad, M., Sharif, M., Afzal, M. K., & Kim, S. W. (2016). TinyOS-new trends, comparative views, and supported sensing applications: A review. IEEE Sensors Journal, 16(9), 2865–89. Amjad, M., Sharif, M., Afzal, M. K., & Kim, S. W. (2016). TinyOS-new trends, comparative views, and supported sensing applications: A review. IEEE Sensors Journal, 16(9), 2865–89.
77.
Zurück zum Zitat Venkatraman, S., & Sarvepalli, S. K. (2018). Load balance technique with adaptive position updates (LAPU) for geographic routing in MANETs. EURASIP Journal on Wireless Communications and Networking, 18(1), 73. Venkatraman, S., & Sarvepalli, S. K. (2018). Load balance technique with adaptive position updates (LAPU) for geographic routing in MANETs. EURASIP Journal on Wireless Communications and Networking, 18(1), 73.
78.
Zurück zum Zitat Collotta, M. (2015). FLBA: A fuzzy algorithm for load balancing in IEEE 802.11 networks. Journal of Network and Computer Applications, 53, 183–92. Collotta, M. (2015). FLBA: A fuzzy algorithm for load balancing in IEEE 802.11 networks. Journal of Network and Computer Applications, 53, 183–92.
79.
Zurück zum Zitat Zhang, H., Song, L., & Jun, Y. (2018). Load balancing for 5G ultra-dense networks using device-to-device communications. arXiv preprint arXiv:1803.06082. Zhang, H., Song, L., & Jun, Y. (2018). Load balancing for 5G ultra-dense networks using device-to-device communications. arXiv preprint arXiv:​1803.​06082.
80.
Zurück zum Zitat Ma, Y. W., Chen, J. L., & Lin, C. J. (2018). Automated network load balancing and capacity enhancing mechanism in future network. IEEE Access (vol. 6, pp. 19407–19418). Ma, Y. W., Chen, J. L., & Lin, C. J. (2018). Automated network load balancing and capacity enhancing mechanism in future network. IEEE Access (vol. 6, pp. 19407–19418).
81.
Zurück zum Zitat Rajpoot, P., & Dwivedi, P. Multiple parameter based energy balanced and optimized clustering for WSN to enhance the Lifetime using MADM Approaches, Wireless Personal Communications (Communicated). Rajpoot, P., & Dwivedi, P. Multiple parameter based energy balanced and optimized clustering for WSN to enhance the Lifetime using MADM Approaches, Wireless Personal Communications (Communicated).
82.
Zurück zum Zitat Wang, C. L., & Yoon, K. S. (1981). Multiple attribute decision making. Berlin: Springer. Wang, C. L., & Yoon, K. S. (1981). Multiple attribute decision making. Berlin: Springer.
83.
Zurück zum Zitat Yoon, K. (1987). A reconciliation among discrete compromise solutions. Journal of the Operational Research Society, 38(3), 277–86.MATH Yoon, K. (1987). A reconciliation among discrete compromise solutions. Journal of the Operational Research Society, 38(3), 277–86.MATH
84.
Zurück zum Zitat Assari, A., Mahesh, T. M., & Assari, E. (2012). Role of public participation in sustainability of historical city: Usage of TOPSIS method. Indian Journal of Science and Technology, 5(3), 2289–94. Assari, A., Mahesh, T. M., & Assari, E. (2012). Role of public participation in sustainability of historical city: Usage of TOPSIS method. Indian Journal of Science and Technology, 5(3), 2289–94.
85.
Zurück zum Zitat Brans, J. P. (1982). The engineering of decision: Elaboration instruments of decision support method PROMETHEE. Quebec: Laval University. Brans, J. P. (1982). The engineering of decision: Elaboration instruments of decision support method PROMETHEE. Quebec: Laval University.
86.
Zurück zum Zitat Brans, J. P., & Vincke, P. (1985). Note: A preference ranking organisation method: (The PROMETHEE method for multiple criteria decision-making). Management Science, 31(6), 647–56.MathSciNetMATH Brans, J. P., & Vincke, P. (1985). Note: A preference ranking organisation method: (The PROMETHEE method for multiple criteria decision-making). Management Science, 31(6), 647–56.MathSciNetMATH
88.
Zurück zum Zitat Instruments, T. (2003). MSP430x13x, MSP430x14x Mixed signal microcontroller datasheet, SLAS272D. Instruments, T. (2003). MSP430x13x, MSP430x14x Mixed signal microcontroller datasheet, SLAS272D.
Metadaten
Titel
Optimized and load balanced clustering for wireless sensor networks to increase the lifetime of WSN using MADM approaches
verfasst von
Prince Rajpoot
Pragya Dwivedi
Publikationsdatum
09.08.2018
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 1/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-018-1812-2

Weitere Artikel der Ausgabe 1/2020

Wireless Networks 1/2020 Zur Ausgabe

Neuer Inhalt