A K-medoids based clustering algorithm for wireless sensor networks
Jin Wang, Kai You Wang, Junming Niu, Wei Liu · 2018 International Workshop on Advanced Image Technology (IWAIT) · 2018
Wireless sensor networks (WSNs) have become a hot research topic in recent years, due to their wide potential applications such as military surveillance, industrial and agricultural monitoring, smart home with multimedia sensors to collect visual data like image or video. Generally, energy consumption is a challenging research issue for WSNs since the tiny sensors cannot be easily recharged after random deployment. In this paper, an efficient energy saving scheme is proposed to reduce energy consumption and to prolong network lifetime. One of the popular scenarios to reduce energy consumption for WSNs is clustering technology. The main idea of this method is to reduce the communication distance of sensor nodes by using clustering technique. To get the ideal result of cluster, we use K-medoids algorithm to calculate the optimal medoids between sensor nodes. Then, we can select the appropriate cluster heads. By balancing network load among the clusters, energy efficiency can be improved and network lifetime can get extended effectively. Simulation results show the outperformance of our proposed algorithm than other popular algorithms in terms of energy consumption and network lifetime.