Cluster Head Selection Algorithm and Simulation Based on Energy Change in Internet of Things Wireless Sensor Networks

Authors

  • Jingwei Xie Hunan Mass Media College, 410100, China
  • Huiyi Li Hunan Mass Media College, 410100, China

Abstract

Internet of Things is based on the Internet and connects objects and objects to achieve information sharing. Wireless sensor network (WSN) is multi-hop
ad-hoc network systems composed of a large number of sensor nodes deployed in themonitoring area, which is an important technical of the underlying
network of the Internet of Things. The traditional low energy adaptive clustering hierarchy (LEACH) protocol for WSN has the disadvantages of large
cluster head overhead, uneven cluster size distribution, limited energy and real-time replenishment. Therefore, how to balance energy consumption
and extend network life have become the key points and difficulties of designing wireless sensor and network routing protocols. In this paper, based
on summarizing and analyzing the traditional LEACH protocol and the improvement of this algorithm, a cluster head selection algorithm based on
energy change is proposed. The algorithm calculates the ideal cluster radius by considering the trust level of the node and the residual energy level
when electing the cluster head. This ensures that the number of cluster heads in each round is within the expected range; then the distance weight,
neighbor the number of nodes and the size of the energy consumption are optimized to complete the competitive selection of the cluster head. The
simulation results show that the proposed algorithm can further reduce energy consumption, extend the life time of the network.

Keywords: Cluster head selection algorithm; Wireless sensor networks; Internet of things; Algorithm simulation

Cite As

J. Xie, H. Li, “Cluster Head Selection Algorithm and Simulation Based on Energy Change in Internet of Things
Wireless Sensor Networksâ€, Engineering Intelligent Systems, vol. 28 no. 2, pp. 89-98, 2020.








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Published

2020-06-01

Issue

Vol. 28 No. 2 (2020): International Journal of Engineering Intelligent Systems

Section

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