scholarly journals Approximate Optimal Deployment of Barrier Coverage on Heterogeneous Bistatic Radar Sensors

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2403
Author(s):  
Xianghua Xu ◽  
Chengwei Zhao ◽  
Zongmao Cheng ◽  
Tao Gu

Heterogeneous Bistatic Radars (BR) have different sensing ranges and couplings of sensing regions, which provide more flexible coverage for the boundary at complex terrain such as across rivers and valleys. Due to the Cassini oval sensing region of a BR and the coupling of sensing regions among different BRs, the coverage problem of BR sensor networks is very challenging. Existing works in BR barrier coverage focus mainly on homogeneous BR sensor networks. This paper studies the heterogeneous BR placement problem on a line barrier to achieve optimal coverage. 1) We investigate coverage differences of the basic placement sequences of heterogeneous BRs on the line barrier, and prove the optimal basic placement spacing patterns of heterogeneous BRs. 2) We study the coverage coupling effect among adjacent BRs on the line barrier, and determine that different placement sequences of heterogeneous BR transmitters will affect the barrier’s coverage performance and length. The optimal placement sequence of heterogeneous BR barrier cannot be solved through the greedy algorithm. 3) We propose an optimal BRs placement algorithm on a line barrier when the heterogeneous BR transmitters’ placement sequence is predetermined on the barrier, and prove it to be optimal. Through simulation experiments, we determine that the different placement sequences of heterogeneous BR transmitters have little influence on the barrier’s maximum length. Then, we propose an approximate algorithm to optimize the BR placement spacing sequence on the heterogeneous line barrier. 4) As a heterogeneous barrier case study, a minimum cost coverage algorithm of heterogeneous BR barrier is presented. We validate the effectiveness of the proposed algorithms through theory analysis and extensive simulation experiments.

Author(s):  
Sami Habib

The evolutionary search approach has demonstrated its effectiveness in many real world applications, such as the coverage problem in wireless sensor networks. It is to place sensor devices in a service area so that the entire service area is covered. We have modeled the coverage problem as two sub-problems: floorplan and placement. The floorplan problem is to partition the service area into well-defined geometric cells, where the placement problem is to assign the sensor devices into a set of cells. Even though the search space has been transformed from continuous into discrete, the complexity of the coverage problem is computationally intensive. The objective function is to maximize the coverage of the service area while not exceeding a given budget. The merged optimization problem has been coded into the genetic algorithm (GA) and the experimental results reveal the versatility of GA to adapt and find a good solution in a short time.


2011 ◽  
Vol 55 (3) ◽  
pp. 711-721 ◽  
Author(s):  
Lei Li ◽  
Baoxian Zhang ◽  
Xiaojun Shen ◽  
Jun Zheng ◽  
Zheng Yao

2016 ◽  
Vol 65 (2) ◽  
pp. 577-588 ◽  
Author(s):  
Bang Wang ◽  
Jiaoyan Chen ◽  
Wenyu Liu ◽  
Laurence T. Yang

2019 ◽  
Vol 23 (2) ◽  
pp. 1361-1380
Author(s):  
Xianghua Xu ◽  
Chengwei Zhao ◽  
Zichen Jiang ◽  
Zongmao Cheng ◽  
Jinjun Chen

Robotica ◽  
2011 ◽  
Vol 30 (4) ◽  
pp. 661-669 ◽  
Author(s):  
Teddy M. Cheng ◽  
Andrey V. Savkin

SUMMARYWe study a problem of K-barrier coverage by employing a network of self-deployed, autonomous mobile robotic sensors. A decentralized coordination algorithm is proposed for the robotic sensors to address the coverage problem. The algorithm is developed based on some simple rules that only rely on local information. By applying the algorithm to the robotic sensors, K layers of sensor barriers are formed to cover the region between two given points. To illustrate the proposed algorithm, numerical simulations are carried out for a number of scenarios.


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