Skip to main content
Top
Published in: Wireless Networks 6/2017

16-04-2016

Adaptive energy aware cluster-based routing protocol for wireless sensor networks

Authors: Khalid Haseeb, Kamalrulnizam Abu Bakar, Abdul Hanan Abdullah, Tasneem Darwish

Published in: Wireless Networks | Issue 6/2017

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wireless sensor networks (WSNs) have grown excessively due to their various applications and low installation cost. In WSN, the main concern is to reduce energy consumption among nodes while maintaining timely and reliable data forwarding. However, most of the existing energy aware routing protocols incur unbalanced energy consumption, which results in inefficient load balancing and compromised network lifetime. Therefore, the main target of this research paper is to present adaptive energy aware cluster-based routing (AECR) protocol for improving energy conservation and data delivery performance. Our proposed AECR protocol differs from other energy efficient routing schemes in some aspects. Firstly, it generates balance sized clusters based on nodes distribution and avoids random clusters formation. Secondly, it optimizes both intra-cluster and inter-cluster routing paths for improving data delivery performance while balancing data traffic on constructed forwarding routes and at the end, in order to reduce the excessive energy consumption and improving load distribution, the role of Cluster Head (CH) is shifted dynamically among nodes by exploit of network conditions. Simulation results demonstrate that AECR protocol outperforms state of the art in terms of various performance metrics.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

Literature
1.
go back to reference Bhuiyan, M. Z. A., Wang, G., & Vasilakos, A. V. (2015). Local area prediction-based mobile target tracking in wireless sensor networks. Computers, IEEE Transactions on, 64(7), 1968–1982.MathSciNetCrossRefMATH Bhuiyan, M. Z. A., Wang, G., & Vasilakos, A. V. (2015). Local area prediction-based mobile target tracking in wireless sensor networks. Computers, IEEE Transactions on, 64(7), 1968–1982.MathSciNetCrossRefMATH
2.
go back to reference 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), 2481–2501.CrossRef 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), 2481–2501.CrossRef
3.
go back to reference Yang, M., Li, Y., Jin, D., Zeng, L., Wu, X., & Vasilakos, A. V. (2015). Software-defined and virtualized future mobile and wireless networks: A survey. Mobile Networks and Applications, 20(1), 4–18.CrossRef Yang, M., Li, Y., Jin, D., Zeng, L., Wu, X., & Vasilakos, A. V. (2015). Software-defined and virtualized future mobile and wireless networks: A survey. Mobile Networks and Applications, 20(1), 4–18.CrossRef
4.
go back to reference 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. Wireless Communications, IEEE, 20(6), 91–98.CrossRef 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. Wireless Communications, IEEE, 20(6), 91–98.CrossRef
5.
go back to reference Song, Y., Liu, L., Ma, H., & Vasilakos, A. V. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. Network and Service Management, IEEE Transactions on, 11(3), 417–430.CrossRef Song, Y., Liu, L., Ma, H., & Vasilakos, A. V. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. Network and Service Management, IEEE Transactions on, 11(3), 417–430.CrossRef
6.
go back to reference Lopez-Perez, D., Chu, X., Vasilakos, A. V., & Claussen, H. (2014). Power minimization based resource allocation for interference mitigation in OFDMA femtocell networks. Selected Areas in Communications, IEEE Journal on, 32(2), 333–344.CrossRef Lopez-Perez, D., Chu, X., Vasilakos, A. V., & Claussen, H. (2014). Power minimization based resource allocation for interference mitigation in OFDMA femtocell networks. Selected Areas in Communications, IEEE Journal on, 32(2), 333–344.CrossRef
7.
go back to reference Potdar, V., Sharif, A., & Chang, E. (2009). Wireless sensor networks: A survey. In Advanced information networking and applications workshops, 2009. WAINA’09. International conference bradford, 2009, IEEE, pp. 636–641. Potdar, V., Sharif, A., & Chang, E. (2009). Wireless sensor networks: A survey. In Advanced information networking and applications workshops, 2009. WAINA’09. International conference bradford, 2009, IEEE, pp. 636–641.
8.
go back to reference Chilamkurti, N., Zeadally, S., Vasilakos, A., & Sharma, V. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 134165. doi:10.1155/2009/134165. Chilamkurti, N., Zeadally, S., Vasilakos, A., & Sharma, V. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 134165. doi:10.​1155/​2009/​134165.
9.
go back to reference Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. Communications Magazine, IEEE, 51(7), 107–113.CrossRef Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. Communications Magazine, IEEE, 51(7), 107–113.CrossRef
10.
go back to reference Liu, Y., Xiong, N., Zhao, Y., Vasilakos, A. V., Gao, J., & Jia, Y. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. Communications, IET, 4(7), 810–816.CrossRef Liu, Y., Xiong, N., Zhao, Y., Vasilakos, A. V., Gao, J., & Jia, Y. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. Communications, IET, 4(7), 810–816.CrossRef
11.
go back to reference Tsai, C.-H., & Tseng, Y.-C. (2012). A path-connected-cluster wireless sensor network and its formation, addressing, and routing protocols. Sensors Journal, IEEE, 12(6), 2135–2144.CrossRef Tsai, C.-H., & Tseng, Y.-C. (2012). A path-connected-cluster wireless sensor network and its formation, addressing, and routing protocols. Sensors Journal, IEEE, 12(6), 2135–2144.CrossRef
12.
go back to reference Afsar, M. M., & Tayarani-N, M.-H. (2014). Clustering in sensor networks: A literature survey. Journal of Network and Computer Applications, 46, 198–226.CrossRef Afsar, M. M., & Tayarani-N, M.-H. (2014). Clustering in sensor networks: A literature survey. Journal of Network and Computer Applications, 46, 198–226.CrossRef
13.
go back to reference Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.CrossRef Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.CrossRef
14.
go back to reference Vasilakos, A. V., Li, Z., Simon, G., & You, W. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.CrossRef Vasilakos, A. V., Li, Z., Simon, G., & You, W. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.CrossRef
15.
go back to reference Zhu, N., & Vasilakos, A. V. (2016). A generic framework for energy evaluation on wireless sensor networks. Wireless Networks, 22(4), 1199–1220. Zhu, N., & Vasilakos, A. V. (2016). A generic framework for energy evaluation on wireless sensor networks. Wireless Networks, 22(4), 1199–1220.
16.
go back to reference Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion + dilation in networks via” quality of routing; games. Computers, IEEE Transactions on, 61(9), 1270–1283.MathSciNetCrossRef Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion + dilation in networks via” quality of routing; games. Computers, IEEE Transactions on, 61(9), 1270–1283.MathSciNetCrossRef
17.
go back to reference 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. Mobile Computing, IEEE Transactions on, 11(10), 1538–1554.CrossRef 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. Mobile Computing, IEEE Transactions on, 11(10), 1538–1554.CrossRef
18.
go back to reference Xiong, N., Vasilakos, A. V., Yang, L. T., Song, L., Pan, Y., Kannan, R., et al. (2009). Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. Selected Areas in Communications, IEEE Journal on, 27(4), 495–509.CrossRef Xiong, N., Vasilakos, A. V., Yang, L. T., Song, L., Pan, Y., Kannan, R., et al. (2009). Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. Selected Areas in Communications, IEEE Journal on, 27(4), 495–509.CrossRef
19.
go back to reference Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for Internet of Things. Journal of Network and Computer Applications, 42, 120–134.CrossRef Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for Internet of Things. Journal of Network and Computer Applications, 42, 120–134.CrossRef
20.
go back to reference Dvir, A., & Vasilakos, A. V. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406. Dvir, A., & Vasilakos, A. V. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.
21.
go back to reference Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. V. (2016). Spatial reusability-aware routing in multi-hop wireless networks. Computers, IEEE Transactions on, 65(1), 244–255.MathSciNetCrossRefMATH Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. V. (2016). Spatial reusability-aware routing in multi-hop wireless networks. Computers, IEEE Transactions on, 65(1), 244–255.MathSciNetCrossRefMATH
22.
go back to reference Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. Mobile Computing, IEEE Transactions on, 14(4), 742–754.CrossRef Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. Mobile Computing, IEEE Transactions on, 14(4), 742–754.CrossRef
23.
go back to reference Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks, 7(3), 537–568.CrossRef Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks, 7(3), 537–568.CrossRef
24.
go back to reference Zhou, L., Naixue, X., Shu, L., Vasilakos, A., & Yeo, S.-S. (2010). Context-aware middleware for multimedia
 services in heterogeneous networks. IEEE Intelligent Systems, 2010(99), 1–14. Zhou, L., Naixue, X., Shu, L., Vasilakos, A., & Yeo, S.-S. (2010). Context-aware middleware for multimedia
 services in heterogeneous networks. IEEE Intelligent Systems, 2010(99), 1–14.
25.
go back to reference Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. Energy-efficient communication protocol for wireless micro sensor networks. In System sciences, 2000. Proceedings of the 33rd annual Hawaii international conference on, 2000, Vol. 12, IEEE, 10 pp. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. Energy-efficient communication protocol for wireless micro sensor networks. In System sciences, 2000. Proceedings of the 33rd annual Hawaii international conference on, 2000, Vol. 12, IEEE, 10 pp.
26.
go back to reference Lindsey, S., & Raghavendra, C. S. PEGASIS: Power-efficient gathering in sensor information systems. In Aerospace conference proceedings, 2002. IEEE, 2002, (Vol. 3, pp. 3–1125–1123–1130 vol. 1123): IEEE. Lindsey, S., & Raghavendra, C. S. PEGASIS: Power-efficient gathering in sensor information systems. In Aerospace conference proceedings, 2002. IEEE, 2002, (Vol. 3, pp. 3–1125–1123–1130 vol. 1123): IEEE.
27.
go back to reference Kang, S. H., & Nguyen, T. (2012). Distance based thresholds for cluster head selection in wireless sensor networks. Communications Letters, IEEE, 16(9), 1396–1399.CrossRef Kang, S. H., & Nguyen, T. (2012). Distance based thresholds for cluster head selection in wireless sensor networks. Communications Letters, IEEE, 16(9), 1396–1399.CrossRef
28.
go back to reference Xiang, L., Luo, J., & Vasilakos, A. Compressed data aggregation for energy efficient wireless sensor networks. In Sensor, mesh and ad hoc communications and networks (SECON), 2011 8th annual IEEE communications society conference on, 2011, IEEE, pp. 46–54. Xiang, L., Luo, J., & Vasilakos, A. Compressed data aggregation for energy efficient wireless sensor networks. In Sensor, mesh and ad hoc communications and networks (SECON), 2011 8th annual IEEE communications society conference on, 2011, IEEE, pp. 46–54.
29.
go back to reference 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.CrossRef 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.CrossRef
30.
go back to reference Huang, Y.-F., Yang, L.-C., & Lin, J.-Y. (2012). An efficient energy data gathering based on grid-chain for wireless sensor networks. In Awareness science and technology (iCAST), 2012 4th international conference, Seoul, 2012, IEEE, pp. 78–82. Huang, Y.-F., Yang, L.-C., & Lin, J.-Y. (2012). An efficient energy data gathering based on grid-chain for wireless sensor networks. In Awareness science and technology (iCAST), 2012 4th international conference, Seoul, 2012, IEEE, pp. 78–82.
31.
go back to reference Manjeshwar, A., & Agrawal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In IPDPS, 2001, Vol. 1, pp. 189. Manjeshwar, A., & Agrawal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In IPDPS, 2001, Vol. 1, pp. 189.
32.
go back to reference Gou, H., Yoo, Y., & Zeng, H. (2009). A partition-based LEACH algorithm for wireless sensor networks. In Computer and information technology, 2009. CIT’09. Ninth IEEE international conference, Xiamen, 2009, Vol. 2, IEEE, pp. 40–45. Gou, H., Yoo, Y., & Zeng, H. (2009). A partition-based LEACH algorithm for wireless sensor networks. In Computer and information technology, 2009. CIT’09. Ninth IEEE international conference, Xiamen, 2009, Vol. 2, IEEE, pp. 40–45.
33.
go back to reference Issariyakul, T., & Hossain, E. (2012). An introduction to network simulator NS2. Berlin: Springer.CrossRef Issariyakul, T., & Hossain, E. (2012). An introduction to network simulator NS2. Berlin: Springer.CrossRef
34.
go back to reference Guan, X., Guan, L., Wang, X. G., & Ohtsuki, T. (2010). A new load balancing and data collection algorithm for energy saving in wireless sensor networks. Telecommunication Systems, 45(4), 313–322.CrossRef Guan, X., Guan, L., Wang, X. G., & Ohtsuki, T. (2010). A new load balancing and data collection algorithm for energy saving in wireless sensor networks. Telecommunication Systems, 45(4), 313–322.CrossRef
Metadata
Title
Adaptive energy aware cluster-based routing protocol for wireless sensor networks
Authors
Khalid Haseeb
Kamalrulnizam Abu Bakar
Abdul Hanan Abdullah
Tasneem Darwish
Publication date
16-04-2016
Publisher
Springer US
Published in
Wireless Networks / Issue 6/2017
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1269-0

Other articles of this Issue 6/2017

Wireless Networks 6/2017 Go to the issue