MOBILE ENERGY AWARE CLUSTER BASED MULTI-HOP USING HYBRID SWARM BASED ROUTING PROTOCOL FOR HIERARCHICAL HETEROGENEOUS WSNS
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 9, Pages 2867-2880
AbstractWireless Sensor Networks (WSNs) are becoming one of the demanding platforms. Environmental or physical conditions are sensed and monitored by sensor nodes and thesev data are transmitted to base station using multi-hop routing. For enhancing network lifetime and stability, various cluster-based solutions are designed in recent days. For homogeneous networks, various energy efficient solutions are developed and for data communication, distance parameter are used. When compared with location and flat based routing protocols, better performance is shown by hierarchical heterogeneous cluster based energy efficient routing protocols. This because of the presence of heterogeneity of nodes with respect to sensor node’s energy level and it enhances network’s lifetime. In recent works, mobile sensor nodes are used for enhancing WSNs performance and functionality. In this paper, authors proposed a novel concept of mobile sensor nodes and it is termed as Mobile Energy Aware Cluster Based Multi-hop routing protocol for hierarchical heterogeneous WSNs. It selects CHs according to newly proposed probability equation which selects only that sensor node as Cluster Head (CH) which has highest energy among other sensor nodes. In MEACBM, aftersensor nodes deployment and clusters formation, whole network area is divided into sectors and inside every sector a mobile sensor node is placed which act as Mobile Data Collector (MDC) and it collects data from CHs. This technique helps in significantly reducing sensor nodes energy consumption of for transferring information to Base Station(BS). Also energy consumption aware routing by finding path is done by using Hybrid form of Particle Swarm Optimization and Artificial Bee Colony Optimization called (PSOABC) algorithm is also proposed. This research work considers the following Quality of Service (QoS) parameters foroptimal selection of route paths: networkv lifetime, throughput and Energy for evaluation purposes.
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