Hybrid PSO-Bat Algorithm with Fuzzy Logic based Routing Technique for Delay Constrained Lifetime Enhancement in Wireless Sensor Networks

Abstract

Lifetime maximization of Wireless Sensor Network (WSN) needs energy effective operation and balanced energy distribution among the sensor nodes. Delay restrained WSN applications should implement a routing protocol turn out, which is one of the most crucial tasks in any WSN network. For resolving these issues, the presented hybrid research method concentrates on Distributed Energy Fuzzy Logic routing algorithm (OBDEFL) with delay restraint in WSN’s. The proposed method attains the finest trade-off among increasing network lifetime and decreases end-to-end delay in WSNs. The goal of the developed hybrid optimization technique is to resolve energy efficiency in the shortest path trees of the WSN, depends upon Hybrid Particle Swarm Optimization - Bat Algorithm (HPSO-BA) algorithm which increases the overall count of the nodes that are scheduled on a regular timeslot. Hybrid optimization technique with a most popular global optimum search technique of PSO in association with one of the newest search technique called BA and a traditional method of Fuzzy Logic (FL) based routing method for the WSN optimization. The results are measured in terms of packet delivery ratio, drop ration, delay, network lifetime, and Energy Consumption. These metrics are simulated via the use of network simulator 2 (NS2).