WSN is organized into clusters for effective data collection in the context of energy dissipation. Clustering not only organizes a deployed network into a linked hierarchy but also balances network load, extending the system's lifespan. In a cluster-based WSN, each sensor node communicates the information it has acquired to the cluster coordinator.

Adding Variables and Parameters of PSO required. Initialising variables’ values,particle’s best and global best. Calculating velocity and energy lost for transmission of information; Calculating least cost using Cost Function and updating that particle having least cost as cluster head.

One effective strategy to enhance network performance is the utilization of clustering algorithms to organize sensor nodes into clusters. In this study, we propose a distributed clustering algorithm for WSNs that is both simple and efficient, employing a three-pass localization-based approach.

This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN.

Jul 24, 2017 · This code implements a PSO algorithm to optimize transmission powers for each node in an WSN networks Authors: Gabriel Lobão, Felipe Reis, Jonathan de Carvalho and Lucas Mendes Cite As

Considering K-means algorithm is sensitive to the Initial Center (IC) and is easy to fall into the local optimum, we use Particle Swarm Optimization algorithm (PSO) to optimize the initial clustering center of K-means to obtain the optimum clustering.

One approach to reducing the consumed energy is by applying a cluster-based routing protocol. Optimizing the Cluster Head (CH) selection represents another approach to prolonging the WSN lifetime. This paper proposes an optimization algorithm to select the CH.

Jun 15, 2021 · Henceforth, this paper presents the particle swarm optimization (PSO) technique for the selection of master cluster head (MCH) and surrogate cluster head (SCH) and an efficient multidirectional routing is proposed for packet transmission.

WSN simulation using PSO for clustering and CH selection.

Jan 15, 2019 · An energy-aware clustering approach for WSN using PSO is proposed in . The authors presented a distance based and centralized approach which takes into account the maximum distance between the non-cluster head node and its CH, and the remaining energy of CH candidates in the CH selection.