Abstract
Energy dissipation is a major problem in wireless sensor network. Clustering and multi-hop routing are two major techniques to improve energy efficiency. Clustering improved energy efficiency, but it causes hotspot problem. To eliminate this hotspot problem, unequal clustering approach is proposed. In this approach, clusters of different sizes are formed. The objective of enhancing the network lifetime can be achieved in a better way via unequal clustering algorithm. In this paper, we have done the analysis of various algorithms based on unequal clustering and compared them based on their various parameters such as distribution mode, CH selection, energy efficiency, algorithm complexity.
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
S. Soro, W.B. Heinzelman, Prolonging the lifetime of wireless sensor networks via unequal clustering, in 19th IEEE International Parallel and Distributed Processing Symposium (IEEE, 2005)
M. Chatterjee, S.K. Das, D. Turgut, WCA: a weighted clustering algorithm for mobile ad hoc networks. Cluster Comput. 5(2), 193–204 (2002)
C. Li, M. Ye, G. Chen, J. Wu, An energy-efficient unequal clustering mechanism for wireless sensor networks, in IEEE International Conference on Mobile Ad Hoc and Sensor Systems Conference (Washington, DC, 2005), pp. 8–604
S. Lee et al., An energy-efficient distributed unequal clustering protocol for wireless sensor networks. World Acad. Sci. Eng. Technol. 48, 443–447 (2008)
H. Bagci, A. Yazici, An energy aware fuzzy unequal clustering algorithm for wireless sensor networks, in 2010 IEEE International Conference on Fuzzy Systems (FUZZ) (IEEE, 2010)
R. Zhang, L. Ju, Z. Jia, X. Li, Energy efficient routing algorithm for WSNs via unequal clustering, in 2012 IEEE 14th International Conference on High Performance Computing and Communication and 2012 IEEE 9th International Conference on Embedded Software and Systems (Liverpool, 2012), pp. 1226–1231
P.C.S. Rao, H. Banka, Novel chemical reaction optimization based unequal clustering and routing algorithm for wireless sensor networks (nCROUCRA). Wirel. Netw. 23, 759–778
W.K. Lai, C.S. Fan, L.Y. Lin, Arranging cluster sizes and transmission ranges for wireless sensor networks. Inf. Sci. 183(1), 117–131 (2012)
H. Xia, R. Zhang, J. Yu, Z. Pan, Energy-efficient routing algorithm based on unequal clustering and connected graph in wireless sensor networks. Int. J. Wirel. Inf. Netw. 23, 1–10 (2016)
C. Nie, H. Wu, Lifetime-aware clustering and DAG-based routing in WSNs, in Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks (2016)
N.A. Pantazis, S.A. Nikolidakis, D.D. Vergados, Energy-efficient routing protocols in wireless sensor networks: a survey. IEEE Commun. Surv. Tutorials 15(2), 551–591 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Biswas, T., Kumar, S., Singh, T., Gupta, K., Saxena, D. (2019). A Comparative Analysis of Unequal Clustering-Based Routing Protocol in WSNs. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_5
Download citation
DOI: https://doi.org/10.1007/978-981-13-3600-3_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3599-0
Online ISBN: 978-981-13-3600-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)