Residual Energy Allocation for Wireless Sensor Network Nodes

Authors

  • Ruijin Lin College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China
  • Yuanrong He College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China
  • Min Xu College of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen 361024, China

Abstract

In order to improve the adaptive distribution capability of node residual energy in wireless sensor networks (WSNs), a node residual energy distribution
method based on load balancing scheduling and node adaptive deployment is proposed. Themethod comprises the following steps: construction of an
energy load balancing scheduling model of aWSN node, the control of energy balancing of the wireless sensor network node by adopting a spatial link
balancing scheduling method, the carrying out of quantitative distribution and characteristic aggregation processing of residual energy output of the
wireless sensor network node by adopting a shortest path optimization mechanism, constructing a residual energy load balancing scheduling model
of the wireless sensor network node, carrying out energy overhead characteristic analysis by combining node combination rotation scheduling, and
carrying out residual energy distribution by using a load balancing scheduling method in an energy coverage area of the WSN node. The simulation
results show that the output balance of the residual energy distribution of the wireless sensor network node network using the proposed method is
better, the residual energy aggregation performance of the wireless sensor network node is improved, the energy cost of the sensor network is reduced,
and the stability and life cycle of the WSN are enhanced.

Keywords:Wireless sensor network; Node; Residual energy; Distribution; Equilibrium

Cite As

R. Lin, Y. He, M. Xu, "Residual Energy Allocation for Wireless Sensor Network Nodes", Engineering
Intelligent Systems, vol. 29 no. 1, pp. 55-64, 2021.




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Published

2021-01-01

Issue

Vol. 29 No. 1 (2021): International Journal of Engineering Intelligent Systems

Section

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