|
ABSTRACT
In old times, castles were surrounded by moats (deep trenches filled with water, and even alligators) to thwart or discourage intrusion attempts. One can now replace such barriers with stealthy and wireless sensors. In this paper, we develop theoretical foundations for laying barriers of wireless sensors. We define the notion of k-barrier coverage of a belt region using wireless sensors. We propose efficient algorithms using which one can quickly determine, after deploying the sensors, whether a region is k-barrier covered. Next, we establish the optimal deployment pattern to achieve k-barrier coverage when deploying sensors deterministically. Finally, we consider barrier coverage with high probability when sensors are deployed randomly. We introduce two notions of probabilistic barrier coverage in a belt region -- weak and strong barrier coverage. While weak barrier-coverage with high probability guarantees the detection of intruders as they cross a barrier of stealthy sensors, a sensor network providing strong barrier-coverage with high probability (at the expense of more sensors) guarantees the detection of all intruders crossing a barrier of sensors, even when the sensors are not stealthy. Both types of barrier coverage require significantly less number of sensors than full-coverage, where every point in the region needs to be covered. We derive critical conditions for weak k-barrier coverage, using which one can compute the minimum number of sensors needed to provide weak k-barrier coverage with high probability in a given belt region. Deriving critical conditions for strong k-barrier coverage for a belt region is still an open problem.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Extreme scale wireless sensor networking. Technical report, http://www.cse.ohio-state.edu/exscal, 2004.
|
| |
2
|
N. Alon and J. H. Spencer. The Probabilistic Method. John Wiley & Sons, 2000.
|
| |
3
|
A. Arora , P. Dutta , S. Bapat , V. Kulathumani , H. Zhang , V. Naik , V. Mittal , H. Cao , M. Demirbas , M. Gouda , Y. Choi , T. Herman , S. Kulkarni , U. Arumugam , M. Nesterenko , A. Vora , M. Miyashita, A line in the sand: a wireless sensor network for target detection, classification, and tracking, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.46 n.5, p.605-634, 5 December 2004
[doi> 10.1016/j.comnet.2004.06.007]
|
| |
4
|
K. Boroczky. Finite Packing and Covering. Cambridge University Press, 2004.
|
| |
5
|
H. S. M. Coxeter. Introduction to Geometry. New York, Wiley, 1969.
|
| |
6
|
D. W. Gage. Command control for many-robot systems. In AUVS-92, 1992.
|
 |
7
|
|
| |
8
|
P. Hall. Introduction to the Theory of Coverage Processes. John Wiley & Sons, 1988.
|
 |
9
|
|
| |
10
|
S. Hynes. Multi-agent simulations (mas) for assessing massive sensor coverage and deployment. Technical report, Master's Thesis, Naval Postgraduate School, 2003.
|
| |
11
|
S. Kumar and A. Arora. Echelon topology for node deployment. Technical report, ExScal Note Series: ExScal-OSU-EN00-2004-01-30, The Ohio State University, 2004.
|
 |
12
|
|
| |
13
|
R. P. Langlands, C. Pichet, P. Pouliot, and Y. Saint-Aubin. On the universality of crossing probabilities in two-domensional percolation. Journal of Statistical Physics, 67(3/4):553--574, 1992.
|
| |
14
|
B. Liu and D. Towsley. On the coverage and detectability of large-scale wireless sensor networks. In Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks, 2003.
|
| |
15
|
S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. B. Srivastava. Coverage problems in wireless ad-hoc sensor networks. In IEEE INFOCOM, 2001.
|
 |
16
|
|
| |
17
|
|
| |
18
|
B. Mohar and C. Thomassen. Graphs on Surfaces. Johns Hopkins University Press, 2001.
|
| |
19
|
|
| |
20
|
S. M. Ross. Introduction to Probability Models. Academic Press, 2000.
|
| |
21
|
A. Schrijver. Combinatorial Optimization. Springer, 2003.
|
 |
22
|
Giacomino Veltri , Qingfeng Huang , Gang Qu , Miodrag Potkonjak, Minimal and maximal exposure path algorithms for wireless embedded sensor networks, Proceedings of the 1st international conference on Embedded networked sensor systems, November 05-07, 2003, Los Angeles, California, USA
[doi> 10.1145/958491.958497]
|
 |
23
|
Xiaorui Wang , Guoliang Xing , Yuanfang Zhang , Chenyang Lu , Robert Pless , Christopher Gill, Integrated coverage and connectivity configuration in wireless sensor networks, Proceedings of the 1st international conference on Embedded networked sensor systems, November 05-07, 2003, Los Angeles, California, USA
[doi> 10.1145/958491.958496]
|
| |
24
|
D. B. West. Introduction to Graph Theory. Prentice Hall, 2001.
|
 |
25
|
|
CITED BY 23
|
|
|
|
|
|
|
|
|
|
|
Wei Wang , Vikram Srinivasan , Bang Wang , Kee-Chaing Chua, Coverage for target localization in wireless sensor networks, Proceedings of the fifth international conference on Information processing in sensor networks, April 19-21, 2006, Nashville, Tennessee, USA
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Benyuan Liu , Olivier Dousse , Jie Wang , Anwar Saipulla, Strong barrier coverage of wireless sensor networks, Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing, May 26-30, 2008, Hong Kong, Hong Kong, China
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Paul Balister , Béla Bollobas , Amites Sarkar , Santosh Kumar, Reliable density estimates for coverage and connectivity in thin strips of finite length, Proceedings of the 13th annual ACM international conference on Mobile computing and networking, September 09-14, 2007, Montréal, Québec, Canada
|
|
|
|
|
|
|
|
|
|
|
|
Jayakrishnan V. Iyer , Heeyeol Yu , Hogil Kim , Eun Jung Kim , Ki Hwan Yum , Pyeong-Soo Mah, Assuring K-coverage in the presence of mobility and wear-out failures in wireless sensor networks, International Journal of Sensor Networks, v.5 n.1, p.58-65, February 2009
|
|
|
|
|
|
|
|
|
|
|