MEDIA-WSN: Multi-Objective Energy and Distance Integrated Algorithm in Wireless Sensor Network

Abstract

Wireless sensor networks (WSNs) are appealing contemporary trends that are dispersed throughout the natural world to analyse the information they receive. The information can be sensed and transmitted more effectively by the sensor nodes. Numerous energy-efficient routing techniques were proposed in earlier research to speed up the network by reducing energy consumption frequently, the sensor nodes quickly run out of power. Most recent articles discuss various techniques aimed at lowering energy consumption in sensor networks. In this paper a novel Multi-objective energy and distance integrated algorithm (MEDIA-WSN) has been proposed to routing /clustering technique with low distance and energy consumption. The MEDIA-WSN method has two phases namely cluster head phase, and routing phase for providing security and energy efficiency. In the first phase, the cluster head selection has been done by using honey badger algorithm which consider the fitness parameters of the sensor nodes such as energy consumption and network lifetime. In the second phase, the routing has been done by using improved spider monkey optimization algorithm which calculate the fitness parameters such as distance, energy consumption and network lifetime. From the simulation analysis, the MEDIA-WSN model overall energy consumption (210 J), packet loss rate (0.5%), packet delivery ratio (99.6%), and end-to-end delay (10 s). The proposed MEDIA-WSN model improves the overall energy consumption of 60.74%, 81.3%, an 85% than EADCR, MOCRAW, and FCEEC techniques respectively.