JACIII Vol.24 No.2 pp. 206-213
doi: 10.20965/jaciii.2020.p0206


A New Sensing Direction Rotation Approach to Area Coverage Optimization in Directional Sensor Network

Song Peng and Yonghua Xiong

School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

Corresponding author

February 3, 2019
January 16, 2020
March 20, 2020
directional sensor network, area coverage problem, sensing direction rotation, coverage verification algorithm, particle swarm optimization
A New Sensing Direction Rotation Approach to Area Coverage Optimization in Directional Sensor Network

Area coverage optimization process

Coverage is a crucial issue in directional sensor networks (DSNs), and a high coverage ratio ensures a good quality of service (QoS). However, a DSN encounters various problems because they use directional sensor nodes, which are characterized by directionality and a definite sensing angle. To address the area coverage problem of DSNs, this paper proposes a new sensing direction rotation approach to optimize coverage. First, we conduct grid partitioning in the target area and propose a coverage verification algorithm to justify the coverage situation of the grid points. Then, we utilize particle swarm optimization (PSO) to find an optimal sensing direction group of the directional sensor nodes to maximize the coverage ratio. Extensive simulation experiments were conducted to prove the effectiveness and reliability of our proposed approach. The results show that the approach improves the area coverage ratio of DSNs in various scenarios.

Cite this article as:
S. Peng and Y. Xiong, “A New Sensing Direction Rotation Approach to Area Coverage Optimization in Directional Sensor Network,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.2, pp. 206-213, 2020.
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Last updated on Oct. 23, 2020