An implementation of energy efficient fuzzy-optimized routing in wireless sensor networks using Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA)

Abstract

The clustering approach can improve wireless sensor network parameters such as lifetime enhancement, load balancing, reliable communication, and fault tolerance. The Cluster head in the cluster is responsible for reliable data transmission between node and sink or base station. Selecting suitable cluster heads and establishing an optimal path for data transmission is the main objective of this research work. Fuzzy-based clustering based on cluster head selection, optimized routing using particle swarm optimization (PSO), adaptive whale optimization algorithm (AWOA) are presented in this research work. Fuzzy logic considers the parameters like the distance between base station to node, node centrality, node degree, and residual energy for cluster head selection. The optimization model obtains an optimized node for routing from the selected cluster heads. In terms of network lifetime, delay, energy consumption, packet delivery ratio, and energy efficiency, simulation analysis of the proposed model is compared to conventional routing algorithms such as bacteria foraging optimization (BFO), Tree-based data gathering (TBDG) algorithm, Immune inspired routing (IIR), Low-Energy Adaptive Clustering Hierarchy (LEACH), and Hybrid Energy-Efficient Distributed (HEED) protocol. The results demonstrate that the proposed approach outperforms existing approaches in terms of network lifetime and energy efficiency.

Fuzzy logic Based Seagull Optimization Algorithm for Efficiency and Security in Wireless Sensor Networks

“…The flexibility is governed by factors like transmission reliability and energy cost imbalance among nodes, aiming to enhance energy economy and data dependability. Qiyue et al [18]. The study uses the genetic algorithm (GA) to improve the total energy efficiency of Wireless Sensor Networks (WSNs) by using UAVs as data carriers.…”

Reducing Energy Consumption and Clustering in Wireless Sensor Networks using an Improved Discrete Gorilla Troops Optimization Algorithm with Fuzzy Rules

“…Swarm-based meta-heuristic algorithms have been usually utilized in sensor network clustering. In [ 17 ] , a linked algorithm based on the Whale Optimizer Algorithm(WOA) and PSO algorithms is utilized for clustering in WSN. In this model, the fuzzy system is also implemented to choose the cluster head.…”

Particle Swarm Optimization Algorithm to Correlation Analysis of Green Ecological Buildings and Natural Environment Protection

“…Some scholars also believe that the greening project is an important project in urban construction, which plays a very important role in improving the living environment of residents, purifying urban air and improving the quality of urban living [3][4]. In addition, some scholars discussed the feasibility and reliability of an improved particle swarm optimization algorithm to solve constrained optimization problems in environmental planning and management [5][6]. In the planning of green ecological buildings and natural environment protection, particle swarm optimization (PSO), as a new optimization method, is widely used in various systems.…”