Efficient Intrusion Detection Ensuring Connectivity in 2D and 3D WSN


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Wireless Sensor Network consumes significant amount of energy for the process of intrusion detection. In this paper, we have proposed two algorithms which select groups of nodes to perform intrusion detection. It can be energy efficient to activate groups of sensors in rounds on deployment areas monitored by multiple sensors. These nodes are selected in such a way that they provide maximum coverage and ensure network connectivity. As these set of nodes will only perform detection process at a time, the average energy consumption of the network can be minimized which prolongs network life time. We have analyzed the intrusion detection probability with these set of nodes. The algorithms give an insight into the number of nodes to be deployed in the given area for efficient intrusion detection. We apply our algorithms and analysis to both two dimensional and three dimensional wireless sensor networks. Our simulation results validate the analytical models
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Intrusion Detection; Network Life Time; Node Selection; Wireless Sensor Networks (WSN)

Full Text:

PDF


References


Y. Sankarasubramaniam E. Cayirci I.F.Akyildiz, W. Su. A survey on sensor networks, IEEE Communications Magazine,Vol 40,n.3, pp 104–122, 2002.

P. Volgyesi G. Balogh B. Kusy J.Sallai G. Pap S. Dora K Molnar M. Maroti G. Simon Ledeczi, A. Nadas. Contersniper system for urban warfare. ACM Transactions on Sensor Networks, Vol 1,n.2 pages 153–177, 1992.

H. Wang X. Chen S. Ren, Q. Li and X. Zhang. Design and analysis of sensing scheduling algorithms under partial coverage for object detection in sensor networks, IEEE Transactions on Parallel and Distributed Systems, Volume 18, pages 334–350, March 2007.

Bin Xie Demin Wang Agrawal Yun Wang, Xiaodong Wang. Intrusion detection in homogeneous and heterogeneous wireless sensor networks. IEEETransactions on Mobile Computing, Vol 11,n 12 pp.7755–7764, 2008.

Plotkin S Abrams, Goel A. Set k-cover algorithms for energy efficient monitoring in wireless sensor networks. Third International Symposium on Information Processing in Sensor Networks,pages pp. 424–432, April 2004.

A.Macii E.Macii L. Benini, G. Castelli. A discrete-time battery model for high-level power estimation. Proceedings of Design, Automation and Test in Europe Conference and Exhibition 2000. pp. 35–39, 2000.

M.A. Maarof Murad A. Rassam and Anazida Zainal. A survey of intrusion detection schemes in wireless sensor networks. American Journal of Applied Sciences, 9(10):1636–1652, 2012.

Prasan kumar sahoo,Jang- Ping Sheu, Kun Ying Hseih, Target tracking and boundary node selection algorithms of wireless sensor networks for internet services ,ELSEVIER Information Sciences,vol. 230, May 2013, pp. 21-38.

Hongju Cheng, Ronglie Guo, and Yuzhong Chen, Node,Selection Algorithms with Data Accuracy Guarantee in Service-Oriented Wireless Sensor Networks, International Journal of Distributed Sensor Networks, 2013,Article ID 527965,14 Pages.

Wanming chen, Meng M Q H,Shuai Li , Tao Mei, Energy efficient head node selection algorithm in wireless sensor networks, Procedings of IEEE International Conference on Robotics and Biomimetics, (Page: 1366-1371 Year of Publication: 2007 ISBN: 978-1-4244-1761-2).

M. Atakli, H. Hu, Y. Chen, W.-S. Ku and Z. Su, Malicious Node Detection in Wireless Sensor Networks Using Weighted Trust Evaluation, Proceedings of Spring Simulation Multi-Conference, Ottawa, vol.1 , April 2008, pp. 836-843.

Hai,T.H, EUI Nam HuhW, Minimizing the intrusion detection modules in Wireless Sensor Networks, Proceedings of Computational Sciences and its Applications, vol.1 , June 2008, pp. 184-189.

K.-P. Shih, S.-S. Wang, H.-C. Chen, P.-H. Yang, CollECT: collaborative event detection and tracking in wireless heterogeneous sensor networks, Computer Communications Vol 31, pp. 3124–3136, 2008.

C.Y. Lin, W.C. Peng, Y.C. Tseng, Efficient in-network moving object tracking in wireless sensor networks, IEEE Transactions on Mobile Computing,vol 5 pp. 1044–1056,2006.

W. Zhang, G. Cao, DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks, IEEE Transactions on Wireless Communications Vol 3 n.5 pp. 1689–1701, 2004.

M. Lehsaini, H. Guyennet, M. Feham, Cluster-based Self-Organization Scheme for Mobile Wireless Sensor Networks, (2008) International Review on Computers and Software (IRECOS), 3. (2), pp. 185 - 192.

M. Vahabi, M. H. F. Ghazvini, M. F. A. Rasid, R. S. A. R. Abdullah, Traffic Aware Data Collection MAC Protocol for Wireless Sensor Networks, (2008) International Review on Computers and Software (IRECOS), 3. (4), pp. 329 - 336.

T. Ezzedine, M. Miladi, R. Bouallegue, A Performance Comparison of Energy Efficient MAC Protocols for Wireless Sensor Networks, (2008) International Review on Computers and Software (IRECOS), 3. (4), pp. 337 - 348.

Mazinani, S.M., Yaghmaee, M.H., Tashtarian, F., Honary, M.T., Chitizadeh, J., On global clustering algorithm: Layer-oriented approach for first/last node dying applications in wireless sensor networks, (2009) International Review on Computers and Software (IRECOS), 4 (2), pp. 229-240.

Venkataraman, R., Pushpalatha, M., Sornalakshmi, K., Performance analysis of MAC schemes in wireless sensor networks, (2013) International Review on Computers and Software (IRECOS), 8 (12), pp. 2831-2836.

Loutfi, A., El Koutbi, M., Impact of mobility and density on a cross-layer architecture for wireless sensor networks, (2013) International Review on Computers and Software (IRECOS), 8 (8), pp. 1793-1800.

Shivaprakasha, K.S., Kulkarni, M., Energy efficient routing protocols for wireless sensor networks: A survey, (2011) International Review on Computers and Software (IRECOS), 6 (6), pp. 929-943.

Azimiyan, F., Kheirkhah, E., Jalali, M., Classification of routing protocols in wireless sensor networks, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1614-1623.

Sun, S., Zhang, Q., Chen, M., Xu, B., An evolutionary based routing protocol for clustered wireless sensor networks, (2012) International Review on Computers and Software (IRECOS), 7 (3), pp. 1380-1385.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize