Skip to main content
Erschienen in: Wireless Networks 5/2018

23.11.2016

Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime

verfasst von: Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood

Erschienen in: Wireless Networks | Ausgabe 5/2018

Einloggen

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

search-config
loading …

Abstract

The improvement of sensor networks’ lifetime has been a major research challenge in recent years. This is because sensor nodes are battery powered and may be difficult to replace when deployed. Low energy adaptive clustering hierarchical (LEACH) routing protocol was proposed to prolong sensor nodes lifetime by dividing the network into clusters. In each cluster, a cluster head (CH) node receives and aggregates data from other nodes. However, CH nodes in LEACH are randomly elected which leads to a rapid loss of network energy. This energy loss occurs when the CH has a low energy level or when it is far from the BS. LEACH with two level cluster head (LEACH-TLCH) protocol deploys a secondary cluster head (2CH) to relieve the cluster head burden in these circumstances. However, in LEACH-TLCH the optimal distance of CH to base station (BS), and the choicest CH energy level for the 2CH to be deployed for achieving an optimal network lifetime was not considered. After a survey of related literature, we improved on LEACH-TLCH by investigating the conditions set to deploy the 2CH for an optimal network lifetime. Experiments were conducted to indicate how the 2CH impacts on the network at different CH energy levels and (or) CH distance to BS. This, is referred to as factor-based LEACH (FLEACH). Investigations in FLEACH show that as CHs gets farther from the BS, the use of a 2CH extends the network lifetime. Similarly, an increased lifetime also results as the CH energy decreases when the 2CH is deployed. We further propose FLEACH-E which uses a deterministic CH selection with the deployment of 2CH from the outset of network operation. Results show an improved performance over existing state-of-the-art homogeneous routing protocols.

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!

Fußnoten
1
An overview and taxonomy of these applications have been summarized in References [4, 5] respectively.
 
2
CDC is a centralized protocol in which CHs elects the CHs for the next round. Clustering is controlled by the BS.
 
3
The author in [48] refers to this as LEACH-M.
 
4
SEP and SEP-E consider energy heterogeneity in two and three-tiers respectively.
 
5
PEACH uses a proxy node as CH for low energy CHs. In FLEACH (Sect. 3), the 2CH sends data to LEACHs’ CH. We are also concerned with how 2CA affects the network lifetime at different CH energy levels and distances.
 
6
The term “survival rate” was used in the referred paper.
 
7
For instance, the average distance in grid distribution is 76.345 m while in normal distribution, it is 62.3604 m.
 
8
Average distance of 76.745.
 
9
In a random distribution with a seed value of 38.
 
10
We considered a network dimension of 200 m \(\times\) 200 m. It would be interesting to study a higher hierarchy for larger sized networks.
 
11
The article in Reference [72] would very beneficial in this regard.
 
Literatur
1.
Zurück zum Zitat Han, Z., Wu, J., Zhang, J., Liu, L., & Tian, K. (2014). A general self-organized tree-based energy-balance routing protocol for wireless sensor network. IEEE Transactions on Nuclear Science, 61(2), 732–740.CrossRef Han, Z., Wu, J., Zhang, J., Liu, L., & Tian, K. (2014). A general self-organized tree-based energy-balance routing protocol for wireless sensor network. IEEE Transactions on Nuclear Science, 61(2), 732–740.CrossRef
2.
Zurück zum Zitat Amini, N., Vahdatpour, A., Xu, W., Gerla, M., & Sarrafzadeh, M. (2012). Cluster size optimization in sensor networks with decentralized cluster-based protocols. Computer Communications, 35(2), 207–220.CrossRef Amini, N., Vahdatpour, A., Xu, W., Gerla, M., & Sarrafzadeh, M. (2012). Cluster size optimization in sensor networks with decentralized cluster-based protocols. Computer Communications, 35(2), 207–220.CrossRef
3.
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), 551–591.CrossRef 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), 551–591.CrossRef
4.
Zurück zum Zitat Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.CrossRef Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.CrossRef
5.
Zurück zum Zitat Rault, T., Bouabdallah, A., & Challal, Y. (2014). Energy efficiency in wireless sensor networks: A top-down survey. Computer Networks, 67, 104–122.CrossRef Rault, T., Bouabdallah, A., & Challal, Y. (2014). Energy efficiency in wireless sensor networks: A top-down survey. Computer Networks, 67, 104–122.CrossRef
6.
Zurück zum Zitat Sha, K., & Shi, W. (2005). Modeling the lifetime of wireless sensor networks. Sensor Letters, 3(2), 126–135.MathSciNetCrossRef Sha, K., & Shi, W. (2005). Modeling the lifetime of wireless sensor networks. Sensor Letters, 3(2), 126–135.MathSciNetCrossRef
7.
Zurück zum Zitat Abdulla, A. E. A. A., Nishiyama, H., Yang, J., Ansari, N., & Kato, N. (2012). Hymn: A novel hybrid multi-hop routing algorithm to improve the longevity of WSNs. IEEE Transactions on Wireless Communications, 11(7), 2531–2541.CrossRef Abdulla, A. E. A. A., Nishiyama, H., Yang, J., Ansari, N., & Kato, N. (2012). Hymn: A novel hybrid multi-hop routing algorithm to improve the longevity of WSNs. IEEE Transactions on Wireless Communications, 11(7), 2531–2541.CrossRef
8.
Zurück zum Zitat Qing, L., Zhu, Q., & Wang, M. (2006). Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Computer Communications, 29(12), 2230–2237.CrossRef Qing, L., Zhu, Q., & Wang, M. (2006). Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Computer Communications, 29(12), 2230–2237.CrossRef
9.
Zurück zum Zitat Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In 2000. Proceedings of the 33rd annual Hawaii international conference on system sciences (p. 10). IEEE Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In 2000. Proceedings of the 33rd annual Hawaii international conference on system sciences (p. 10). IEEE
10.
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), 660–670.CrossRef 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), 660–670.CrossRef
11.
Zurück zum Zitat Kumar, S., Prateek, M., Ahuja, N. J., & Bhushan, B. (2014). De-leach: Distance and energy aware leach. Preprint. arXiv:1408.2914. Kumar, S., Prateek, M., Ahuja, N. J., & Bhushan, B. (2014). De-leach: Distance and energy aware leach. Preprint. arXiv:​1408.​2914.
12.
Zurück zum Zitat Tarhani, M., Kavian, Y. S., & Siavoshi, S. (2014). Seech: Scalable energy efficient clustering hierarchy protocol in wireless sensor networks. IEEE Sensors Journal, 14(11), 3944–3954.CrossRef Tarhani, M., Kavian, Y. S., & Siavoshi, S. (2014). Seech: Scalable energy efficient clustering hierarchy protocol in wireless sensor networks. IEEE Sensors Journal, 14(11), 3944–3954.CrossRef
13.
Zurück zum Zitat Fu, C., Jiang, Z., Wei, W. E. I., & Wei, A. (2013). An energy balanced algorithm of leach protocol in WSN. International Journal of Computer Science, 10(1), 354–359. Fu, C., Jiang, Z., Wei, W. E. I., & Wei, A. (2013). An energy balanced algorithm of leach protocol in WSN. International Journal of Computer Science, 10(1), 354–359.
14.
Zurück zum Zitat Aderohunmu, F. A., Deng, J. D., & Purvis, M. K. (2011). A deterministic energy-efficient clustering protocol for wireless sensor networks. In 2011 7th international conference on intelligent sensors, sensor networks and information processing (ISSNIP) (pp. 341–346). IEEE. doi:10.1109/ISSNIP.2011.6146592. Aderohunmu, F. A., Deng, J. D., & Purvis, M. K. (2011). A deterministic energy-efficient clustering protocol for wireless sensor networks. In 2011 7th international conference on intelligent sensors, sensor networks and information processing (ISSNIP) (pp. 341–346). IEEE. doi:10.​1109/​ISSNIP.​2011.​6146592.
15.
Zurück zum Zitat Bajaber, F., & Awan, I. (2011). Adaptive decentralized re-clustering protocol for wireless sensor networks. Journal of Computer and System Sciences, 77(2), 282–292.MathSciNetCrossRef Bajaber, F., & Awan, I. (2011). Adaptive decentralized re-clustering protocol for wireless sensor networks. Journal of Computer and System Sciences, 77(2), 282–292.MathSciNetCrossRef
16.
Zurück zum Zitat Cui, S., & Ferens, K. (2011). Energy efficient clustering algorithms for wireless sensor networks. In International conference on wireless networks. Las Vegas, NV. Cui, S., & Ferens, K. (2011). Energy efficient clustering algorithms for wireless sensor networks. In International conference on wireless networks. Las Vegas, NV.
17.
Zurück zum Zitat Garg, A., & Hanmandlu, M. (2006). An energy-aware adaptive clustering protocol for sensor networks. In 2006. ICISIP 2006. 4th international conference on intelligent sensing and information processing (pp. 23–30). IEEE. Garg, A., & Hanmandlu, M. (2006). An energy-aware adaptive clustering protocol for sensor networks. In 2006. ICISIP 2006. 4th international conference on intelligent sensing and information processing (pp. 23–30). IEEE.
18.
Zurück zum Zitat Huang, W.-W., Peng, Y.-L., Wen, J., & Yu, M. (2009). Energy-efficient multi-hop hierarchical routing protocol for wireless sensor networks. In 2009. NSWCTC’09. international conference on networks security, wireless communications and trusted computing, vol. 2 (pp. 469–472). IEEE. Huang, W.-W., Peng, Y.-L., Wen, J., & Yu, M. (2009). Energy-efficient multi-hop hierarchical routing protocol for wireless sensor networks. In 2009. NSWCTC’09. international conference on networks security, wireless communications and trusted computing, vol. 2 (pp. 469–472). IEEE.
19.
Zurück zum Zitat Zahmati, A. S., Abolhassani, B., Shirazi, A. A. B., & Bakhtiari, A. S. (2007). An energy-efficient protocol with static clustering for wireless sensor networks. International Journal of Electronics, Circuits and Systems, 1(2), 135–138. Zahmati, A. S., Abolhassani, B., Shirazi, A. A. B., & Bakhtiari, A. S. (2007). An energy-efficient protocol with static clustering for wireless sensor networks. International Journal of Electronics, Circuits and Systems, 1(2), 135–138.
20.
Zurück zum Zitat Arumugam, G. S., & Ponnuchamy, T. (2015). Ee-leach: Development of energy-efficient leach protocol for data gathering in WSN. EURASIP Journal on Wireless Communications and Networking, 2015(1), 1–9.CrossRef Arumugam, G. S., & Ponnuchamy, T. (2015). Ee-leach: Development of energy-efficient leach protocol for data gathering in WSN. EURASIP Journal on Wireless Communications and Networking, 2015(1), 1–9.CrossRef
21.
Zurück zum Zitat Ranjani, S. S., Krishnan, S. R., Thangaraj, C., & Devi, K. V. (2013). Achieving energy conservation by cluster based data aggregation in wireless sensor networks. Wireless Personal Communications, 73(3), 731–751.CrossRef Ranjani, S. S., Krishnan, S. R., Thangaraj, C., & Devi, K. V. (2013). Achieving energy conservation by cluster based data aggregation in wireless sensor networks. Wireless Personal Communications, 73(3), 731–751.CrossRef
22.
Zurück zum Zitat Chamam, A., & Pierre, S. (2010). A distributed energy-efficient clustering protocol for wireless sensor networks. Computers and Electrical Engineering, 36(2), 303–312.CrossRefMATH Chamam, A., & Pierre, S. (2010). A distributed energy-efficient clustering protocol for wireless sensor networks. Computers and Electrical Engineering, 36(2), 303–312.CrossRefMATH
23.
Zurück zum Zitat Muruganathan, S. D., Ma, D. C. F., Bhasin, R. I., & Fapojuwo, A. O. (2005). A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Communications Magazine, 43(3), S8–13.CrossRef Muruganathan, S. D., Ma, D. C. F., Bhasin, R. I., & Fapojuwo, A. O. (2005). A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Communications Magazine, 43(3), S8–13.CrossRef
24.
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), 366–379.CrossRef 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), 366–379.CrossRef
25.
Zurück zum Zitat Wei, D., Jin, Y., Vural, S., Moessner, K., & Tafazolli, R. (2011). An energy-efficient clustering solution for wireless sensor networks. IEEE Transactions on Wireless Communications, 10(11), 3973–3983.CrossRef Wei, D., Jin, Y., Vural, S., Moessner, K., & Tafazolli, R. (2011). An energy-efficient clustering solution for wireless sensor networks. IEEE Transactions on Wireless Communications, 10(11), 3973–3983.CrossRef
26.
Zurück zum Zitat Handy, M. J., Haase, M., & Timmermann, D. (2002). Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In 2002. 4th international workshop on mobile and wireless communications network (pp. 368–372). IEEE. Handy, M. J., Haase, M., & Timmermann, D. (2002). Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In 2002. 4th international workshop on mobile and wireless communications network (pp. 368–372). IEEE.
27.
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). 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). Springer.
28.
Zurück zum Zitat Hani, R. M. B., & Ijjeh, A. A. (2013). A survey on leach-based energy aware protocols for wireless sensor networks. Journal of Communications, 8(3), 192–206.CrossRef Hani, R. M. B., & Ijjeh, A. A. (2013). A survey on leach-based energy aware protocols for wireless sensor networks. Journal of Communications, 8(3), 192–206.CrossRef
29.
Zurück zum Zitat Singh, S. P., & Sharma, S. C. (2015). A survey on cluster based routing protocols in wireless sensor networks. Procedia Computer Science, 45, 687–695.CrossRef Singh, S. P., & Sharma, S. C. (2015). A survey on cluster based routing protocols in wireless sensor networks. Procedia Computer Science, 45, 687–695.CrossRef
30.
Zurück zum Zitat Aslam, M., Javaid, N., Rahim, A., Nazir, U., Bibi, A., & Khan, Z. A. (2012). Survey of extended leach-based clustering routing protocols for wireless sensor networks. In 2012 IEEE 14th international conference on high performance computing and communication and 2012 IEEE 9th international conference on embedded software and systems (HPCC-ICESS) (pp. 1232–1238). IEEE. Aslam, M., Javaid, N., Rahim, A., Nazir, U., Bibi, A., & Khan, Z. A. (2012). Survey of extended leach-based clustering routing protocols for wireless sensor networks. In 2012 IEEE 14th international conference on high performance computing and communication and 2012 IEEE 9th international conference on embedded software and systems (HPCC-ICESS) (pp. 1232–1238). IEEE.
31.
Zurück zum Zitat Kaur, A., & Grover, A. (2015). Leach and extended leach protocols in wireless sensor network—a survey. International Journal of Computer Applications, 116(10). Kaur, A., & Grover, A. (2015). Leach and extended leach protocols in wireless sensor network—a survey. International Journal of Computer Applications, 116(10).
32.
Zurück zum Zitat Deosarkar, B. P., Yadav, N. S., & Yadav, R. P. (2008). Clusterhead selection in clustering algorithms for wireless sensor networks: A survey. In ICCCn 2008. International conference on computing, communication and networking, 2008 (pp. 1–8). IEEE. doi:10.1109/ICCCNET.2008.4787686. Deosarkar, B. P., Yadav, N. S., & Yadav, R. P. (2008). Clusterhead selection in clustering algorithms for wireless sensor networks: A survey. In ICCCn 2008. International conference on computing, communication and networking, 2008 (pp. 1–8). IEEE. doi:10.​1109/​ICCCNET.​2008.​4787686.
33.
Zurück zum Zitat Smaragdakis, G., Bestavros, A., & Matta, I. (2004). Sep: A stable election protocol for clustered heterogeneous wireless sensor networks. Technical report, Boston University Computer Science Department. Smaragdakis, G., Bestavros, A., & Matta, I. (2004). Sep: A stable election protocol for clustered heterogeneous wireless sensor networks. Technical report, Boston University Computer Science Department.
34.
Zurück zum Zitat Islam, M. M., Matin, M. A., & Mondol, T. K. (2012). Extended stable election protocol (SEP) for three-level hierarchical clustered heterogeneous WSN. In IET conference on wireless sensor systems (WSS 2012) (pp. 1–4). IET. Islam, M. M., Matin, M. A., & Mondol, T. K. (2012). Extended stable election protocol (SEP) for three-level hierarchical clustered heterogeneous WSN. In IET conference on wireless sensor systems (WSS 2012) (pp. 1–4). IET.
35.
Zurück zum Zitat Braman, A., & Umapathi, G. R. (2014). A comparative study on advances in leach routing protocol for wireless sensor networks: A survey. International Journal of Advanced Research in Computer and Communication Engineering, 3(2), 5683–5690. Braman, A., & Umapathi, G. R. (2014). A comparative study on advances in leach routing protocol for wireless sensor networks: A survey. International Journal of Advanced Research in Computer and Communication Engineering, 3(2), 5683–5690.
36.
Zurück zum Zitat Brachman, A. (2013). Simulation comparison of leach-based routing protocols for wireless sensor networks. In International conference on computer networks (pp. 105–113). Springer. Brachman, A. (2013). Simulation comparison of leach-based routing protocols for wireless sensor networks. In International conference on computer networks (pp. 105–113). Springer.
37.
Zurück zum Zitat Shan, J., Dong, L., Liao, X., Shao, L., Gao, Z., & Gao, Y. (2013). Research on improved leach protocol of wireless sensor networks. Przegld Elektrotechniczny (pp. 0033–2097). ISSN. Shan, J., Dong, L., Liao, X., Shao, L., Gao, Z., & Gao, Y. (2013). Research on improved leach protocol of wireless sensor networks. Przegld Elektrotechniczny (pp. 0033–2097). ISSN.
38.
Zurück zum Zitat Gajjar, S. H., Dasgupta, K. S., Pradhan, S. N., & Vala, K. M. (2012). Lifetime improvement of leach protocol for wireless sensor network. In 2012 Nirma University international conference on engineering (NUiCONE) (pp. 1–6). IEEE. Gajjar, S. H., Dasgupta, K. S., Pradhan, S. N., & Vala, K. M. (2012). Lifetime improvement of leach protocol for wireless sensor network. In 2012 Nirma University international conference on engineering (NUiCONE) (pp. 1–6). IEEE.
39.
Zurück zum Zitat Lijun, L., Hongtao, W., & Peng, C. (2006). Discuss in round rotation policy of hierarchical route in wireless sensor networks. In 2006 international conference on wireless communications, networking and mobile computing (pp. 1–5). IEEE. Lijun, L., Hongtao, W., & Peng, C. (2006). Discuss in round rotation policy of hierarchical route in wireless sensor networks. In 2006 international conference on wireless communications, networking and mobile computing (pp. 1–5). IEEE.
40.
Zurück zum Zitat Tong, M., & Tang, M. (2010). LEACH-B: An improved LEACH protocol for wireless sensor network. In 2010 6th international conference on wireless communications networking and mobile computing (WiCOM) (pp. 1–4). IEEE. Tong, M., & Tang, M. (2010). LEACH-B: An improved LEACH protocol for wireless sensor network. In 2010 6th international conference on wireless communications networking and mobile computing (WiCOM) (pp. 1–4). IEEE.
41.
Zurück zum Zitat Iqbal, A., Akbar, M., Javaid, N., Bouk, S. H., Ilahi, M., & Khan, R. D. (2013). Advanced leach: A static clustering-based heteroneous routing protocol for WSNs. Preprint. arXiv:1306.1146. Iqbal, A., Akbar, M., Javaid, N., Bouk, S. H., Ilahi, M., & Khan, R. D. (2013). Advanced leach: A static clustering-based heteroneous routing protocol for WSNs. Preprint. arXiv:​1306.​1146.
42.
Zurück zum Zitat Xiangning, F., & Yulin, S. (2007). Improvement on leach protocol of wireless sensor network. In 2007. SensorComm 2007. International conference on sensor technologies and applications (pp. 260–264). IEEE. Xiangning, F., & Yulin, S. (2007). Improvement on leach protocol of wireless sensor network. In 2007. SensorComm 2007. International conference on sensor technologies and applications (pp. 260–264). IEEE.
43.
Zurück zum Zitat Bajaber, F., & Awan, I. (2009). Centralized dynamic clustering for wireless sensor network. In 2009. WAINA’09. International conference on advanced information networking and applications workshops (pp. 193–198). IEEE. Bajaber, F., & Awan, I. (2009). Centralized dynamic clustering for wireless sensor network. In 2009. WAINA’09. International conference on advanced information networking and applications workshops (pp. 193–198). IEEE.
44.
Zurück zum Zitat Liang, Y., Yu, H. (2005). Energy adaptive cluster-head selection for wireless sensor networks. In 6th international conference on parallel and distributed computing applications and technologies (PDCAT’05) (pp. 634–638). IEEE. Liang, Y., Yu, H. (2005). Energy adaptive cluster-head selection for wireless sensor networks. In 6th international conference on parallel and distributed computing applications and technologies (PDCAT’05) (pp. 634–638). IEEE.
45.
Zurück zum Zitat Jia, J.-G., He, Z.-W., Kuang, J.-M., & Mu, Y.-H. (2010). An energy consumption balanced clustering algorithm for wireless sensor network. In 2010 6th international conference on wireless communications networking and mobile computing (WiCOM) (pp. 1–4). IEEE. Jia, J.-G., He, Z.-W., Kuang, J.-M., & Mu, Y.-H. (2010). An energy consumption balanced clustering algorithm for wireless sensor network. In 2010 6th international conference on wireless communications networking and mobile computing (WiCOM) (pp. 1–4). IEEE.
46.
Zurück zum Zitat Marappan, P., & Rodrigues, P. (2016). An energy efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Networks, 22(4), 1415–1423.CrossRef Marappan, P., & Rodrigues, P. (2016). An energy efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Networks, 22(4), 1415–1423.CrossRef
47.
Zurück zum Zitat Kang, S. H., & Nguyen, T. (2012). Distance based thresholds for cluster head selection in wireless sensor networks. IEEE Communications Letters, 16(9), 1396–1399.CrossRef Kang, S. H., & Nguyen, T. (2012). Distance based thresholds for cluster head selection in wireless sensor networks. IEEE Communications Letters, 16(9), 1396–1399.CrossRef
48.
Zurück zum Zitat Shang, F., & Lei, Y. (2010). An energy-balanced clustering routing algorithm for wireless sensor network. Wireless Sensor Network, 2(10), 777.CrossRef Shang, F., & Lei, Y. (2010). An energy-balanced clustering routing algorithm for wireless sensor network. Wireless Sensor Network, 2(10), 777.CrossRef
49.
Zurück zum Zitat Garg, D., Soni, K., Goswami, V., Porwal, R., & Kumar, K. A. (2015). LEACH-ENL: Leach protocol with enhanced network lifetime in wireless sensor network. Network, 3(5). Garg, D., Soni, K., Goswami, V., Porwal, R., & Kumar, K. A. (2015). LEACH-ENL: Leach protocol with enhanced network lifetime in wireless sensor network. Network, 3(5).
50.
Zurück zum Zitat Kole, S., Vhatkar, K. N., & Bag, V. V. (2014). Distance based cluster formation technique for leach protocol in wireless sensor network. International Journal of Application or Innovation in Engineering and Management (IJAIEM), 3(3). Kole, S., Vhatkar, K. N., & Bag, V. V. (2014). Distance based cluster formation technique for leach protocol in wireless sensor network. International Journal of Application or Innovation in Engineering and Management (IJAIEM), 3(3).
51.
Zurück zum Zitat Amini, N., Fazeli, M., Miremadi, S. G., & Manzuri, M. T. (May 2007). Distance-based segmentation: An energy-efficient clustering hierarchy for wireless microsensor networks. In 5th annual conference on communication networks and services research (CNSR’07) (pp. 18–25). Amini, N., Fazeli, M., Miremadi, S. G., & Manzuri, M. T. (May 2007). Distance-based segmentation: An energy-efficient clustering hierarchy for wireless microsensor networks. In 5th annual conference on communication networks and services research (CNSR’07) (pp. 18–25).
52.
Zurück zum Zitat Wang, J., Xin, Z., Junyuan, X., & Zhengkun, M. (2010). A distance-based clustering routing protocol in wireless sensor networks. In 2010 12th IEEE international conference on communication technology (ICCT), (pp. 648–651). IEEE. Wang, J., Xin, Z., Junyuan, X., & Zhengkun, M. (2010). A distance-based clustering routing protocol in wireless sensor networks. In 2010 12th IEEE international conference on communication technology (ICCT), (pp. 648–651). IEEE.
53.
Zurück zum Zitat Aderohunmu, F. A., Deng, J. D., et al. (2009). An enhanced stable election protocol (SEP) for clustered heterogeneous WSN. Department of Information Science, University of Otago. Aderohunmu, F. A., Deng, J. D., et al. (2009). An enhanced stable election protocol (SEP) for clustered heterogeneous WSN. Department of Information Science, University of Otago.
54.
Zurück zum Zitat Ren, F., Zhang, J., He, T., Lin, C., & Ren, S. K. D. (2011). EBRP: Energy-balanced routing protocol for data gathering in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(12), 2108–2125.CrossRef Ren, F., Zhang, J., He, T., Lin, C., & Ren, S. K. D. (2011). EBRP: Energy-balanced routing protocol for data gathering in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(12), 2108–2125.CrossRef
55.
Zurück zum Zitat Khediri, S. E. L., Nasri, N., Wei, A., & Kachouri, A. (2014). A new approach for clustering in wireless sensors networks based on leach. Procedia Computer Science, 32, 1180–1185.CrossRef Khediri, S. E. L., Nasri, N., Wei, A., & Kachouri, A. (2014). A new approach for clustering in wireless sensors networks based on leach. Procedia Computer Science, 32, 1180–1185.CrossRef
56.
Zurück zum Zitat Zhou, W., Chen, H.-M., & Zhang, X.-F. (2007). An energy efficient strong head clustering algorithm for wireless sensor networks. In 2007 international conference on wireless communications, networking and mobile computing (pp. 2584–2587). IEEE. Zhou, W., Chen, H.-M., & Zhang, X.-F. (2007). An energy efficient strong head clustering algorithm for wireless sensor networks. In 2007 international conference on wireless communications, networking and mobile computing (pp. 2584–2587). IEEE.
57.
Zurück zum Zitat Chamam, A., & Pierre, S. (2009). On the planning of wireless sensor networks: Energy-efficient clustering under the joint routing and coverage constraint. IEEE Transactions on Mobile Computing, 8(8), 1077–1086.CrossRef Chamam, A., & Pierre, S. (2009). On the planning of wireless sensor networks: Energy-efficient clustering under the joint routing and coverage constraint. IEEE Transactions on Mobile Computing, 8(8), 1077–1086.CrossRef
58.
Zurück zum Zitat Abdulsalam, H. M., & Ali, B. A. (2013). W-leach based dynamic adaptive data aggregation algorithm for wireless sensor networks. International Journal of Distributed Sensor Networks, 2013. Abdulsalam, H. M., & Ali, B. A. (2013). W-leach based dynamic adaptive data aggregation algorithm for wireless sensor networks. International Journal of Distributed Sensor Networks, 2013.
59.
Zurück zum Zitat Bajelan, M., & Bakhshi, H. (2013). An adaptive LEACH-based clustering algorithm for wireless sensor networks. Journal of Communication Engineering, 2(4). Bajelan, M., & Bakhshi, H. (2013). An adaptive LEACH-based clustering algorithm for wireless sensor networks. Journal of Communication Engineering, 2(4).
60.
Zurück zum Zitat Kim, K. T., & Youn, H. Y. (2005). Energy-driven adaptive clustering hierarchy (EDACH) for wireless sensor networks. In International conference on embedded and ubiquitous computing (pp. 1098–1107). Springer. Kim, K. T., & Youn, H. Y. (2005). Energy-driven adaptive clustering hierarchy (EDACH) for wireless sensor networks. In International conference on embedded and ubiquitous computing (pp. 1098–1107). Springer.
61.
Zurück zum Zitat Kim, K. T., & Youn, H. Y. (2005). Peach: Proxy-enable adaptive clustering hierarchy for wireless sensor network. In Proceeding of the 2005 international conference on wireless network (pp. 52–57). Kim, K. T., & Youn, H. Y. (2005). Peach: Proxy-enable adaptive clustering hierarchy for wireless sensor network. In Proceeding of the 2005 international conference on wireless network (pp. 52–57).
62.
Zurück zum Zitat Gong, B., Li, L., Wang, S., & Zhou, X. (2008). Multihop routing protocol with unequal clustering for wireless sensor networks. In 2008 ISECS international colloquium on computing, communication, control, and management, vol. 2 (pp. 552–556). IEEE. Gong, B., Li, L., Wang, S., & Zhou, X. (2008). Multihop routing protocol with unequal clustering for wireless sensor networks. In 2008 ISECS international colloquium on computing, communication, control, and management, vol. 2 (pp. 552–556). IEEE.
63.
Zurück zum Zitat Ye, M., Li, C., Chen, G., & Wu, J. (2005). EECS: An energy efficient clustering scheme in wireless sensor networks. In PCCC 2005. 24th IEEE international performance, computing, and communications conference, 2005 (pp. 535–540). IEEE. Ye, M., Li, C., Chen, G., & Wu, J. (2005). EECS: An energy efficient clustering scheme in wireless sensor networks. In PCCC 2005. 24th IEEE international performance, computing, and communications conference, 2005 (pp. 535–540). IEEE.
64.
Zurück zum Zitat Li, C., Ye, M., Chen, G., & Wu, J. (2005). An energy-efficient unequal clustering mechanism for wireless sensor networks. In IEEE international conference on mobile adhoc and sensor systems conference, 2005 (p. 8). IEEE. Li, C., Ye, M., Chen, G., & Wu, J. (2005). An energy-efficient unequal clustering mechanism for wireless sensor networks. In IEEE international conference on mobile adhoc and sensor systems conference, 2005 (p. 8). IEEE.
65.
Zurück zum Zitat Chen, G., Li, C., Ye, M., & Wu, J. (2009). An unequal cluster-based routing protocol in wireless sensor networks. Wireless Networks, 15(2), 193–207.CrossRef Chen, G., Li, C., Ye, M., & Wu, J. (2009). An unequal cluster-based routing protocol in wireless sensor networks. Wireless Networks, 15(2), 193–207.CrossRef
66.
Zurück zum Zitat Akkari, W., Bouhdid, B., & Belghith, A. (2015). Leatch: Low energy adaptive tier clustering hierarchy. Procedia Computer Science, 52, 365–372.CrossRef Akkari, W., Bouhdid, B., & Belghith, A. (2015). Leatch: Low energy adaptive tier clustering hierarchy. Procedia Computer Science, 52, 365–372.CrossRef
67.
Zurück zum Zitat Loscri, V., Morabito, G., & Marano, S. (2005). A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). In IEEE vehicular technology conference, vol. 62 (p. 1809). IEEE 1999. Loscri, V., Morabito, G., & Marano, S. (2005). A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). In IEEE vehicular technology conference, vol. 62 (p. 1809). IEEE 1999.
68.
Zurück zum Zitat Yassein, M. B., Khamayseh, Y., & Mardini, W. (2009). Improvement on leach protocol of wireless sensor network (VLEACH). In Int. J. Digit. Content Technol. Appl. 2009. Citeseer. Yassein, M. B., Khamayseh, Y., & Mardini, W. (2009). Improvement on leach protocol of wireless sensor network (VLEACH). In Int. J. Digit. Content Technol. Appl. 2009. Citeseer.
69.
Zurück zum Zitat Yan, J.-F., & Liu, Y.-L. (2011). Improved leach routing protocol for large scale wireless sensor networks routing. In 2011 international conference on electronics, communications and control (ICECC) (pp. 3754–3757). IEEE. Yan, J.-F., & Liu, Y.-L. (2011). Improved leach routing protocol for large scale wireless sensor networks routing. In 2011 international conference on electronics, communications and control (ICECC) (pp. 3754–3757). IEEE.
70.
Zurück zum Zitat Tyagi, S., Tanwar, S., Gupta, S. K., Kumar, N., & Rodrigues, J. J. P. C. (2015). A lifetime extended multi-levels heterogeneous routing protocol for wireless sensor networks. Telecommunication Systems, 59(1), 43–62.CrossRef Tyagi, S., Tanwar, S., Gupta, S. K., Kumar, N., & Rodrigues, J. J. P. C. (2015). A lifetime extended multi-levels heterogeneous routing protocol for wireless sensor networks. Telecommunication Systems, 59(1), 43–62.CrossRef
71.
Zurück zum Zitat Dietrich, I., & Dressler, F. (2009). On the lifetime of wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 5(1), 5.CrossRef Dietrich, I., & Dressler, F. (2009). On the lifetime of wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 5(1), 5.CrossRef
72.
Zurück zum Zitat Malak, D., Dhillon, H. S., & Andrews, J. G. (2016). Optimizing data aggregation for uplink machine-to-machine communication networks. IEEE Transactions on Communications, 64(3), 1274–1290.CrossRef Malak, D., Dhillon, H. S., & Andrews, J. G. (2016). Optimizing data aggregation for uplink machine-to-machine communication networks. IEEE Transactions on Communications, 64(3), 1274–1290.CrossRef
Metadaten
Titel
Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime
verfasst von
Oluwatosin Ahmed Amodu
Raja Azlina Raja Mahmood
Publikationsdatum
23.11.2016
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 5/2018
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1414-9

Weitere Artikel der Ausgabe 5/2018

Wireless Networks 5/2018 Zur Ausgabe

Neuer Inhalt