Algorithm Optimization for Energy Consumption Issues in Wireless Sensor Network Nodes

Yu Wei; Yang Sun

doi:10.6919/ICJE.202408_10(8).0011

Authors

Yu Wei
Yang Sun

DOI:

https://doi.org/10.6919/ICJE.202408_10(8).0011

Keywords:

Wireless Sensor Network; Ant Colony Algorithm; Dijkstra Algorithm; Energy Consumption Balance.

Abstract

This study proposes an energy aware routing algorithm based on ant colony algorithm and Dijkstra algorithm to address the issues of uneven energy distribution and premature node death leading to information transmission obstruction in wireless sensor networks. This algorithm updates the position coordinates and remaining energy of each node in real-time, and uses ant colony algorithm to track and record the number of ant arrivals between nodes as the weight matrix of the Dijkstra algorithm. At the same time, the power consumption parameter per unit path length is taken into account in the algorithm, and a dynamic weight matrix is generated through multiple optimizations, thereby achieving dynamic routing between any node. The experimental results on the simulation platform MATLAB show that compared to the algorithm that directly optimizes the path, this improved algorithm achieves dynamic planning of wireless sensor network layer routing, solves the problem of uneven energy consumption between nodes, and extends the lifespan of the network.

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