NDLI: Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks

Content Provider	IET Digital Library
Author	Kumar, Dilip
Abstract	Over the last couple of decades, clustering-based protocols are believed to be the best for heterogeneous wireless sensor networks (WSNs) because they work on the principle of divide and conquer. In this study, the authors propose and evaluate two new clustering-based protocols for heterogeneous WSNs, which are called single-hop energy-efficient clustering protocol (S-EECP) and multi-hop energy-efficient clustering protocol (M-EECP). In S-EECP, the cluster heads (CHs) are elected by a weighted probability based on the ratio between residual energy of each node and average energy of the network. The nodes with high initial energy and residual energy will have more chances to be elected as CHs than nodes with low energy whereas in M-EECP, the elected CHs communicate the data packets to the base station via multi-hop communication approach. To analyse the lifetime of the network, the authors assume three types of sensor nodes equipped with different battery energy. Finally, simulation results indicate that the authors protocols prolong network lifetime, and achieve load balance among the CHs better than the existing clustering protocols.
Starting Page	9
Ending Page	16
Page Count	8
ISSN	20436386
Volume Number	4
e-ISSN	20436394
Issue Number	Issue 1, Mar (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-wss/4/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-wss.2012.0150
Journal	IET Wireless Sensor Systems
Publisher Date	2013-09-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Base Station Battery Energy Cluster Heads Data Packets Divide And Conquer Method Heterogeneous Wireless Sensor Network Heterogeneous WSN Load Balance M-EECP Multihop Communication Approach Multihop Energy-efficient Clustering Protocol Network Lifetime Maximization Pattern Clustering Probability Protocol Reliability Residual Energy S-EECP Sensor Node Single-hop Energy-efficient Clustering Protocol Statistics Telecommunication Network Reliability Weighted Probability Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering

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