Abstract
In this chapter, we study trap coverage in sensor networks, which is recognized to be efficient for intruder detection. We formally formulate the Minimum Weight Trap Cover Problem and prove it is an NP-hard problem. To solve the problem, we introduce a bounded approximation algorithm, called Trap Cover Optimization (TCO) to schedule the activation of sensors while satisfying specified trap coverage requirement. We design Localized Trap Coverage Protocol as the localized implementation of TCO. We show that the performance of Minimum Weight Trap Coverage is at most O(ρ) times of the optimal solution, where ρ is the density of sensor nodes in the region. We perform extensive simulations to demonstrate the effectiveness of the proposed algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Ko, C. Lu, M. Srivastava, J. Stankovic, A. Terzis, and M. Welsh. Wireless sensor networks for healthcare. Proceedings of the IEEE, 98(11):1947–1960, 2010.
X. Cao, J. Chen, Y. Zhang, and Y. Sun. Development of an integrated wireless sensor network micro-environment monitoring system. ISA Transactions (Elsevier), 47(3):247–255, 2008.
S. Zahedi, M. Srivastava, C. Bisdikian, and L. Kaplan. Quality tradeoffs in object tracking with duty-cycled sensor networks. In Proceedings of IEEE Real-Time Systems Symposium (RTSS), 2010.
Y. Liu and W. Liang. Approximate coverage in wireless sensor networks. In IEEE International Conference on Local Computer Networks (LCN), 2005.
M. Cardei, T. Thai, Y. Li, and W. Wu. Energy-efficient target coverage in wireless sensor networks. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2005.
S. He, J. Chen, and Y. Sun. Coverage and connectivity in duty-cycled wireless sensor network for event monitoring. IEEE Transactions on Parallel and Distributed Systems, 23(3):475–482, 2012.
S. Slijepcevic and M. Potkonjak. Power efficient organization of wireless sensor networks. In IEEE International Conference on Communications (ICC), pages 472–476, 2001.
J. Chen, J. Li, S. He, Y. Sun, and H. Chen. Energy-efficient coverage based on probabilistic sensing model in wireless sensor networks. IEEE Communication Letters, 14(9):833–835, 2010.
J. Jeong, Y. Gu, T. He, and D. Du. Visa: Virtual scanning algorithm for dynamic protection of road networks. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2009.
G. Wang, G. Cao, and T. Porta. Movement-assisted sensor deployment. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2004.
B. Liu and D. Towsley. A study of the coverage of large-scale sensor networks. In IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2004.
P. Balister, Z. Zheng, S. Kumar, and P. Sinha. Trap coverage: Allowing coverage holes of bounded diameter in wireless sensor networks. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2009.
J. Li, J. Chen, S. He, T. He, Y. Gu, and Y. Sun. On energy-efficient trap coverage in wireless sensor networks. In Proceedings of IEEE Real-Time Systems Symposium (RTSS), 2011.
G. Mao, B. Fidan, and B. Anderson. Wireless sensor network localization techniques. Computer Networks, 51(10):2529–2553, 2007.
N. Patwari, J. Ash, S. Kyperountas, A. Hero, R. Moses, and N. Correal. Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Processing Magazine, 22(4):54–69, 2005.
J. Hwang, T. He, and Y. Kim. Exploring in-situ sensing irregularity in wireless sensor networks. In Proceedings of the International Conference on Embedded Networked Sensor Systems (SenSys), 2007.
T. Yan, Y. Gu, T. He, and J. Stankovic. Design and optimization of distributed sensing coverage in wireless sensor networks. ACM Transactions on Embedded Computing Systems, 7(3):1–40, 2008.
X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. Gill. Integrated coverage and connectivity configuration in wireless sensor networks. In Proceedings of the International Conference on Embedded Networked Sensor Systems (SenSys), 2003.
G. Kasbekar, Y. Bejerano, and S. Sarkar. Lifetime and coverage guarantees through distributed coordinate-free sensor activation. In Proceedings of the Annual International Conference on Mobile Computing and Networking (MobiCom), 2009.
S. Yang, F. Dai, M. Cardei, and J. Wu. On multiple point coverage in wireless sensor networks. In Proceedings of IEEE Conference on Mobile Adhoc and Sensor Systems Conference (MASS), 2005.
R. M. Karp. Reducibility among combinatorial problems. In 50 Years of Integer Programming 1958–2008, pages 219–241. Springer Berlin Heidelberg, 2010.
P. Berman, G. Calinescu, C. Shah, and A. Zelikovsky. Efficient energy management in sensor networks. In Ad Hoc and Sensor Network. Nova Science Publishers, 2005.
M. Cardei and D. Du. Improving wireless sensor network lifetime through power aware organization. Wireless Networks, 11(3):333–340, 2005.
X. Bai, S. Kumar, D. Xuan, Z. Yun, and T. Lai. Deploying wireless sensors to achieve both coverage and connectivity. In Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2006.
V. Chvatal. A greedy heuristic for the set-covering problem. Mathematics of Operations Research, 4(3):233–235, 1979.
T. Cormen, C. Leiserson, R. Rivest, and C. Stein. Data structures for disjoint sets. In Introduction to Algorithms, pages 498–524. MIT Press and McGraw-Hill, 2001.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
He, S., Chen, J., Li, J., Sun, Y. (2014). Energy-Efficient Trap Coverage in Sensor Networks. In: Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-04648-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-04648-8_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04647-1
Online ISBN: 978-3-319-04648-8
eBook Packages: Computer ScienceComputer Science (R0)