An Improved Clustering with Particle Swarm Optimization-Based Mobile Sink for Wireless Sensor Networks
Muralitharan Krishnan, Yoon Mo Jung, Sangwoon Yun · 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) · 2018
A group of sensors with limited energy is deployed in a region to collect useful information from the environment called as Wireless Sensor Networks. It is very difficult to collect the field information efficiently in terms of energy and it can be achieved from deployment phase to routing. Clustering and routing are the major phases to utilize the node energy efficiently. The fixed sink and existing clustering methods create energy hole problem and premature death of sensor nodes affects the data loss. In order to avoid these issues, a novel dynamic clustering approach with Particle Swarm Optimization based mobile data collector for information gathering is proposed. The methodology, implementation details, and the observed simulation results are showcased with the existing algorithms. The obtained simulation results show that the proposed approach increases the network lifetime extensively.