Optimizing network lifetime through hybrid evolutionary strategies in cluster based routing protocols for wireless sensor networks

Abstract

In recent years, Wireless Sensor Network (WSN) is regarded as a newlinecrucial and vital manner for resourceful data communication in widespread newlinecomputing platform with the achievement of objectives like energy newlineconservation and lifetime improvement. Wireless Sensor Networks (WSNs) newlineOwing to their lower-cost execution, WSNs are commonly used in many newlineapplications newlinelike newlinesmart newlinehome systems, environmental monitoring, newlinetransportation, industry, medical industry, agriculture, etc. Wireless Sensor newlineNetworks (WSNs) consist of an enormous number of Sensor Nodes (SNs) and newlinesub-nodes with a limited battery power supply, are required to work together newlinefor transmitting and collecting data. newlineClustering and routing become vital mechanisms in WSNs for newlineimproving energy consumption and network lifetime (NLT). The clustering newlinemethod supports to minimize communication overhead and proficiently newlinemanage the network. Routing within these clusters is more important for newlinetransmission of data from source nodes to the destination or sink. Clustering newlinemethods support organizing these nodes into clusters, with all the clusters newlinehaving a leader (or Cluster Head (CH)) responsible for data aggregation and newlinecommunication with the sink node or Base Station (BS). Clustering supports newlinedecreasing the energy counts utilized for data communication then only CHs newlinetransfer directly with BS, aggregating data from its Cluster Members (CMs). newlineClustering methods are a basic element of WSNs, assisting in optimizer newlineenergy consumption, increasing network scalability, and improving entire newlineperformances newline