Performance amelioration of Multi faceted clustering and optimization in wireless sensor networks

Abstract

Wireless Sensor Networks (WSNs) are typically deployed in dense newlineunsupervised environments and the topology of the network might be fixed or newlinedynamic. Since the battery power of the sensor node is restricted, recharging newlineor replacing the battery of a node is a challenging task. The recent research newlinekey areas in WSN are clustering, routing and energy consumption. Since newlinesensor nodes are responsible for sensing the environment and data newlinetransmission. There are high chances of node becoming dead at the earliest. newlineThe proposed objective aims at increasing the network lifetime and newlineminimizing energy depletion. Effectual approaches are needed to make WSN newlinemore useful in real-world. In the first approach, a Hybrid LEACH (Low newlineEnergy Adaptive Clustering Hierarchy)- Jellyfish breathing density algorithm newlineis proposed for contraction and expansion of cluster and cluster head (CH) newlineselection. CH selection is based on three parameters, namely residual energy, newlinedistance between CH and adjacent CH, distance between CH and base station newline