The Target-Barrier Coverage Problem in Wireless Sensor Networks

2018 ◽  
Vol 17 (5) ◽  
pp. 1216-1232 ◽  
Author(s):  
Chien-Fu Cheng ◽  
Chen-Wei Wang
2011 ◽  
Vol 55 (3) ◽  
pp. 711-721 ◽  
Author(s):  
Lei Li ◽  
Baoxian Zhang ◽  
Xiaojun Shen ◽  
Jun Zheng ◽  
Zheng Yao

Author(s):  
Qiang Liu

The reliability of k-barrier coverage for wireless sensor networks is evaluated in this article. We construct a two-dimensional k-within-consecutive- r ×  s-out-of- m ×  n:F system to describe the k-barrier coverage problem and propose the definition of the k-barrier coverage reliability. If the sensing radius r of each sensor is equal to half of the horizontal distance d between two adjacent sensors, then the formula for calculating the k-barrier coverage reliability can be derived directly. If r is a positive integer multiple of d, then a recursive algorithm is applied to calculate the coverage reliability. The effects of the probability that sensors are active, the number of rows of deployed sensors and the number of sensors in each row on the coverage reliability are also analyzed using some illustrative examples. The results show that, if r =  d/2, the reliability of a barrier decreases with an increase in the length of the barrier; if r =  t ×  d ( t is a positive integer), the reliability of a barrier hardly decreases with an increase in the length of the barrier.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 74315-74325 ◽  
Author(s):  
Manju ◽  
Samayveer Singh ◽  
Sandeep Kumar ◽  
Anand Nayyar ◽  
Fadi Al-Turjman ◽  
...  

10.29007/gl61 ◽  
2018 ◽  
Author(s):  
Antonina Tretyakova ◽  
Franciszek Seredynski

Energy optimization problem in Wireless Sensor Networks (WSN) is a backbone of efficient performance of sensor network consisting of small devices with limited and non-recovering battery. WSN lifetime maximization problem under assumption of that the coverage is main task of the network is known as Maximal lifetime coverage problem (MLCP).This problem belongs to a class of NP-hard problems. In this paper we propose a novel simulated annealing (SA) algorithm to solve MLCP. The proposed algorithm is studied for high dense WSN instances under different parameter setup.


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