Wireless coverage optimization for robotic swarm in emergency scenario

Author(s):  
F. Viani ◽  
E. Giarola ◽  
P. Rocca ◽  
G. Oliveri ◽  
A. Massa
Author(s):  
Bin Sun ◽  
Hongjian Liao ◽  
Kaixi Liu ◽  
Jianwen Ding ◽  
Wei Wang ◽  
...  

2008 ◽  
Vol 57 (4) ◽  
pp. 2395-2403 ◽  
Author(s):  
D. Fagen ◽  
P.A. Vicharelli ◽  
J. Weitzen

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2868
Author(s):  
Gong Cheng ◽  
Huangfu Wei

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


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 70419-70429
Author(s):  
Mohamed Abdel-Basset ◽  
Laila Abdel-Fatah ◽  
Khalid A. Eldrandaly ◽  
Nabil M. Abdel-Aziz

2017 ◽  
Vol 116 ◽  
pp. 63-78 ◽  
Author(s):  
Geng Sun ◽  
Yanheng Liu ◽  
Ming Yang ◽  
Aimin Wang ◽  
Shuang Liang ◽  
...  

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