Research on Key technologies to Target Coverage algorithm In wireless Sensor Networks

2012 ◽  
Vol 6 (17) ◽  
pp. 542-550
Author(s):  
Lu Yang ◽  
He Xin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Key Technologies

scholarly journals Proficient QoS-Based Target Coverage Problem in Wireless Sensor Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 74315-74325 ◽  
Author(s):  
Manju ◽  
Samayveer Singh ◽  
Sandeep Kumar ◽  
Anand Nayyar ◽  
Fadi Al-Turjman ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Coverage Problem ◽  
Target Coverage Problem

scholarly journals Maximum Lifetime Target Coverage in Wireless Sensor Networks

2019 ◽  
Vol 111 (3) ◽  
pp. 1525-1543 ◽  
Author(s):  
Nora Saadi ◽  
Ahcène Bounceur ◽  
Reinhardt Euler ◽  
Massinissa Lounis ◽  
Madani Bezoui ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Maximum Lifetime

Weight Selection and PSO Based Three-Dimensional Localization for Wireless Sensor Networks

2013 ◽  
Vol 427-429 ◽  
pp. 2540-2544 ◽  
Author(s):  
Jia Liang Lv ◽  
Ying Long Wang ◽  
Huan Qing Cui ◽  
Nuo Wei
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Optimization Problem ◽  
Three Dimensional ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Localization Algorithms ◽  
Key Technologies ◽  
Simulation Results

Localization is one of the key technologies of wireless sensor networks, and the problem of localization is always formulated as an optimization problem. Particle swarm optimization (PSO) is easy to implement and requires moderate computing resources, which is feasible for localization of sensor networks. To improve the efficiency and precision of PSO-based localization methods, this paper proposes a novel three-dimensional PSO method based on weight selection (WSPSO). Simulation results show that the proposed method outperforms standard PSO and existing localization algorithms.

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