Affiliations: [a] Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology, Guna, M.P., India
| [b] Department of Electronics and Communication Engineering, National Institute of Technology, Delhi, India
| [c] Department of Computer Science Engineering, Jaypee University of Engineering and Technology, Guna, M.P., India
Correspondence:
[*]
Corresponding author. Veervrat Singh Chandrawanshi, Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology, Guna, M.P. 473226, India. E-mail: veervrat@gmail.com.
Abstract: A wireless sensor network consists of a large number of sensor nodes. The key parameters of the wireless sensor network are limited energy, network lifetime, limited ability, secure communication, quality of service, data aggregation, and synchronization. In wireless sensor network when the single base station multi-hop communication model is used, the adjacent nodes to the base station transmitted all the data to the base station. Thus the adjacent nodes deplete their energy earlier than other nodes and create the energy holes near the base station. These energy holes minimize the lifetime of the network. The primary objective in large-scale wireless sensor networks is to increase the lifetime with limited energy resources. This can be achieved by placing the multiple base stations using an intelligent clustering technique in a wireless sensor network. In this paper, an intelligent clustering technique has been proposed to choose the optimal position of multiple base stations with the help of k-means++ clustering technique in conjunction with the local+ scheme. The simulation result shows that the proposed method provides minimum energy consumption with an extended lifetime in comparison to the two individual clustering techniques.
Keywords: Wireless sensor networks, clustering, cluster head, multiple base
station, optimal number, k-means, local+, energy efficient network.
