Optimal Energy-Efficient Cluster Head Selection (OEECHS) for Wireless Sensor Network

Autor: G. R. Kanagachidambaresan, G. Saranraj, K. Selvamani
Rok vydání: 2019
Předmět:
Zdroj: Journal of The Institution of Engineers (India): Series B. 100:349-356
ISSN: 2250-2114
2250-2106
DOI: 10.1007/s40031-019-00390-3
Popis: Clustered architecture makes the large-scale monitoring ease to the user. Optimal cluster head (CH) selection is very much necessary for enhancing the network lifetime and data reliability. This paper concentrates on choosing an optimal CH selection based on the current consumed from the battery and as a factor of distance with other nodes. The current consumed by the node increases on decreased residual energy. Scheduling nodes as CH and cluster member (CM) based on current consumption and distance increases the network lifetime. Unequal clustering is observed distributing network load equally to all clusters. Probability for becoming a CH is given to the candidates with minimal distance with the sink, battery residual energy and current taken from the battery. The sensor node behaviour is modelled as finite state machine. The Markov model helps in predicting the next state of selection for the CH in the finite state machine for communicating data towards the sink. The proposed OEECHS is compared with LEACH, ALEACH and M-GEAR protocols. The algorithm outperforms LEACH by 1.35 times in terms of lifetime and 1.12 times in terms of throughput when compared to classic LEACH protocol.
Databáze: OpenAIRE
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