An Improving of Load Balancing in Clustering Algorithm for Wireless Sensor Network Based on Distance

Autor: Ming-Shi Wang, Chih-Hsien Chien
Rok vydání: 2017
Předmět:
Zdroj: 2017 Second International Conference on Mechanical, Control and Computer Engineering (ICMCCE).
DOI: 10.1109/icmcce.2017.32
Popis: Wireless sensor network is composed of a number of tiny devices with energy constraints, sensing nodes. How the limited energy used effectively is a basic and important considered factor, and the design goal of most wireless sensing network protocols. Researches control the number of clusters in the network by dividing the sensing nodes into groups in advance. However, there is still the problem of unbalanced energy consumption between clusters, resulting in shortened network life. In this report, a way to improve the energy utilization of the network nodes by adjusting the cluster size while considers the load-balancing factor of the network was proposed. The main idea is to adjust the cluster size based on the distance between the groups and the base stations. We use the software simulation to observe its performance, the simulation results show that energy consumption does tend to balance the trend, although its effect is still not ideal, but can determine the size of the cluster on the impact of network power consumption.
Databáze: OpenAIRE