Complexity of barrier coverage with relocatable sensors in the plane

被引:38
作者
Dobrev, Stefan [1 ]
Durocher, Stephane [2 ]
Eftekhari, Mohsen [3 ]
Georgiou, Konstantinos [4 ]
Kranakis, Evangelos [5 ]
Krizanc, Danny [6 ]
Narayanan, Lata [3 ]
Opatrny, Jaroslav [3 ]
Shende, Sunil [7 ]
Urrutia, Jorge [8 ]
机构
[1] Slovak Acad Sci, Inst Math, Bratislava, Slovakia
[2] Univ Manitoba, Dept Comp Sci, Winnipeg, MB R3T 2N2, Canada
[3] Concordia Univ, Dept Comp Sci & Soft Engn, Montreal, PQ, Canada
[4] Univ Waterloo, Dept Comb & Opt, Waterloo, ON N2L 3G1, Canada
[5] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada
[6] Wesleyan Univ, Dept Math & Comp Sci, Middletown, CT 06459 USA
[7] Rutgers State Univ, Dept Comp Sci, Piscataway, NJ 08855 USA
[8] Univ Nacl Autonoma Mexico, Inst Math, Mexico City, DF, Mexico
基金
加拿大自然科学与工程研究理事会;
关键词
Sensor network; Mobile sensors; Barrier coverage; Algorithmic complexity; NP-completeness; MOVEMENT;
D O I
10.1016/j.tcs.2015.02.006
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We consider several variations of the problems of covering a set of barriers (modeled as line segments) using sensors that can detect any intruder crossing any of the barriers. Sensors are initially located in the plane and they can relocate to the barriers. We assume that each sensor can detect any intruder in a circular area of fixed range centered at the sensor. Given a set of barriers and a set of sensors located in the plane, we study three problems: (i) the feasibility of barrier coverage, (ii) the problem of minimizing the largest relocation distance of a sensor (MinMax), and (iii) the problem of minimizing the sum of relocation distances of sensors (MinSum). When sensors are permitted to move to arbitrary positions on the barrier, the MinMax problem is shown to be strongly NP-complete for sensors with arbitrary ranges. We also study the case when sensors are restricted to use perpendicular movement to one of the barriers. We show that when the barriers are parallel, both the MinMax and MinSum problems can be solved in polynomial time. In contrast, we show that even the feasibility problem is strongly NP-complete if two perpendicular barriers are to be covered, even if the sensors are located at integer positions, and have only two possible sensing ranges. On the other hand, we give an O(n(3/2)) algorithm for a natural special case of this last problem. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:64 / 73
页数:10
相关论文
共 20 条
[1]  
[Anonymous], 2010, P IEEE INFOCOM 10
[2]  
Balister P, 2007, MOBICOM'07: PROCEEDINGS OF THE THIRTEENTH ACM INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, P75
[3]  
Bar-Noy A, 2013, LECT NOTES COMPUT SC, V8125, P97, DOI 10.1007/978-3-642-40450-4_9
[4]  
Bhattacharya B, 2008, LECT NOTES COMPUT SC, V5165, P103
[5]   Optimal movement of mobile sensors for barrier coverage of a planar region [J].
Bhattacharya, Binay ;
Burmester, Mike ;
Hu, Yuzhuang ;
Kranakis, Evangelos ;
Shi, Qiaosheng ;
Wiese, Andreas .
THEORETICAL COMPUTER SCIENCE, 2009, 410 (52) :5515-5528
[6]  
Changxiang Shen, 2008, 2008 9th International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN '08), P99
[7]  
Chen Danny Z., 2012, Algorithm Theory-SWAT 2012. Proceedings 13th Scandinavian Symposium and Workshops, P177, DOI 10.1007/978-3-642-31155-0_16
[8]  
Czyzowicz J, 2009, LECT NOTES COMPUT SC, V5793, P194, DOI 10.1007/978-3-642-04383-3_15
[9]  
Czyzowicz J, 2010, LECT NOTES COMPUT SC, V6288, P29, DOI 10.1007/978-3-642-14785-2_3
[10]  
Dobrev Stefan, 2013, Algorithms and Complexity. 8th International Conference, CIAC 2013. Proceedings, P170, DOI 10.1007/978-3-642-38233-8_15