Abstract
In this paper, popular clustering protocols for Wireless Sensor Networks (WSNs) are investigated. There are many issues and challenges that effect network lifetime. One of these critical issues is high power consumption which reduces network lifetime. The aim of this paper is to propose Energy-Distance Aware Clustering (E-DACS) approach that considers sensor energy level and distance during cluster heads selection to increase the throughput. In this method, cluster head selected among other nodes in the cluster by optimal criteria that calculate the distance to each node, distance to base station, and residual energy. Performance, network efficiency and maximizing network lifetime are measured by simulation, analysis and comparison with other well-known mechanisms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alkalbani, A.S., Tap, A.M., Mantoro, T.: Energy consumption evaluation in trust and reputation models for wireless sensor networks. In: Information and Communication Technology for the Muslim World (ICT4M), Morocco, pp. 1–6 (2013)
Shin, J., Suh, C.: CREEC: chain routing with even energy consumption. J. Commun. Netw. 13(1), 17–25 (2011)
Chang, J.H., Tassiulas, L.: Maximum lifetime routing in wireless sensor networks. IEEE/ACM Trans. Netw. 12(4), 1126–1137 (2004)
Zytoune, O., Fakhri, Y., Aboutajdine, D.: A fairly balanced clustering algorithm for routing in wireless sensor networks. Sensor Review. Emerald. 30(3), 242–249 (2010)
Almomani, I., Almashakbeh, E.: A power-efficient secure routing protocol for wireless sensor networks. WSEAS Trans. Comput. J. 9(9), 1042–1052 (2010)
Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. In: IEEE Conference in Wireless Communications, vol. 11, no. 6, pp. 6–28 (2004)
Ramakant, K.K.S., Dalal, S.: Clustering in WSNs: A Review (2014)
Sharma, N., Nayyar, A.A: Comprehensive review of cluster based energy efficient routing protocols for wireless sensor networks. Int. J. Appl. Innov. Eng. Manage. 3(1) (2014)
Daniel, R., Rao, K.N.: An optimal power conservation cluster based routing algorithm using Fuzzy verdict mechanism for wireless sensor networks. In: IEEE International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), pp. 1–9 (2015)
Kumar, D: Performance analysis of energy efficient clustering protocols for maximizing lifetime of wireless sensor networks. Wirel. Sensor Syst. IET. 4(1), 1, 9–16 (2014)
Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Comput. Commun. 29(12), 2230–2237 (2006)
Javaid, N., Qureshi, T.N., Khan, A.H., Iqbal, A., Akhtar, E., Ishfaq, M.: EDDEEC: Enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks. Procedia Comput. Sci. 19, 914–919 (2013)
Sha, K., Shi, W.: Modeling the lifetime of wireless sensor networks. Sensor Lett. 3(2), 126–135 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Alkalbani, A.S., Mantoro, T., Degala, S. (2016). Energy-Distance Aware Clustering Scheme (E-DACS) for Wireless Sensor Networks. In: Meesad, P., Boonkrong, S., Unger, H. (eds) Recent Advances in Information and Communication Technology 2016. Advances in Intelligent Systems and Computing, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-319-40415-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-40415-8_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40414-1
Online ISBN: 978-3-319-40415-8
eBook Packages: EngineeringEngineering (R0)