Virtual Angle Boundary-Aware Particle Swarm Optimization to Maximize the Coverage of Directional Sensor Networks.

作者: Huangfu Wei , Gong Cheng

DOI: 10.3390/S21082868

关键词:

摘要: With the transition of mobile communication networks, network goal Internet everything further promotes development Things (IoT) and Wireless Sensor Networks (WSNs). Since directional sensor has performance advantage long-term regional monitoring, how to realize coverage optimization Directional (DSNs) becomes more important. The DSNs is usually solved for one variables such as azimuth, sensing radius, time schedule. To reduce computational complexity, we propose an scheme with a boundary constraint eliminating redundancy DSNs. Combined Particle Swarm Optimization (PSO) algorithm, Virtual Angle Boundary-aware (VAB-PSO) designed burden problems effectively. VAB-PSO algorithm generates position between sensors according relationship among angles different sensors, thus obtaining particle search restricting space algorithm. Meanwhile, particles in complementary improve overall efficiency. Experimental results show that proposed can effectively convergence speed

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