An Energy Efficiency Routing Algorithm for Wireless Sensor Network

• Published in: 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) Vol. 1; pp. 735 - 739
• Main Authors: Huili Jia, Xunli Fan, Kun Liu, Yang Qian
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2017
• Subjects: Algorithm design and analysis; Ant colony optimal; Base stations; Clustering; Clustering algorithms; Dynamic routing; Energy consumption; Energy efficiency; K-means; Routing; Wireless sensor networks
• ISBN: 9781538632208; 1538632209
• DOI: 10.1109/CSE-EUC.2017.144

Aiming at the problem that the node energy is limited, the network cycle is short and the throughput is low in the wireless sensor network, Dynamic Routing Protocol Based on Clustering was proposed known as KACO (K-means and Ant Colony Optimal). At the beginning it employs ant colony optimal and k-means algorithm to form cluster, and the novel method which consider the energy ratio, node location and distance is used to select the cluster head. In the transmission phase, dynamic hybrid routing is adopted to create the shortest path between nodes that reducing the node energy consumption efficiency. The experimental results show that the KACO has optimal performance in terms of node energy consumption, number of transmitted packets, and life time of the network.