Sensor Activation in WSN using Improved Cuckoo Search and Squirrel Search Algorithm

Abstract

In Wireless Sensor Network (WSN), the development is augmented and an increased enormous concentration in computer vision. A huge amount of sensors are used to carry out dispersed sensing of the target field in WSN. The existing techniques exploited wireless chargers to provide energy to Sensor Networks (SNs), other than supplied energy is not adequate to control the sensor nodes. Hence, this work presents a method to reduce the energy utilization per node adopting effectual scheduling of sleep/awake of nodes. The technique experiences two stages for the sensor activation such as the initialization stage, and the activation stage. The initialization stage is proposed by a network beginning that is performed to express the network parameters to nodes or sensors. Subsequently, in every slot proposed optimization method is used to activate sensors in the activation stage. The proposed improved cuckoo search and squirrel search optimization approach named (Improved CS-SSA). Hence, the proposed technique produces control in terms of the turn-ON or OFF of sensors that represent active sensors and employ itself in sensing and monitoring distributed environment. The proposed technique performance is superior to other existing techniques through throughput, maximum energy, and alive nodes, correspondingly.