Wormhole Attack Behaviour in Monte-Carlo Localization for Mobile Sensor Networks


Localization is the basic requirement for network management in Wireless Sensor Networks as it helps nodes find their absolute position coordinates and in gathering information relevant to their locations. A localization algorithm has to be dynamic, scalable and should not impose high computation or communication overhead. The localization systems are also prone to attacks. We target a localization scheme for mobile sensor networks called Monte-Carlo Localization, which study its behavior under the most dangerous attack on localization called Wormhole Attack, also known as Collusion Attack and propose a modified algorithm that can help the localization system retain its accuracy level even in the presence of attacks. Our algorithm has communication cost almost equal to that of original localization algorithm (in this case MCL) in the absence of attacks.

Share and Cite:

Kumari, V. , Nagaraju, A. and Pareek, G. (2014) Wormhole Attack Behaviour in Monte-Carlo Localization for Mobile Sensor Networks. Journal of Sensor Technology, 4, 48-58. doi: 10.4236/jst.2014.42006.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Hu, L. and Evans, D. (2004) Localization for Mobile Sensor Networks. 10th Annual International Conference on Mobile Computing and Networking (MobiCom 2004), Philadelphia, 26 September-1 October 2004, 45-57.
[2] Maheshwari, R., Gao, J. and Das, S. (2007) Detecting Wormhole Attacks in Wire-Less Networks Using Connectivity Information. INFOCOM, 26th IEEE International Conference on Computer Communications.
[3] Baggio, A. and Langendoen, K. (2006) Monte-Carlo Localization for Mobile Wireless Sensor Networks. Proc. Conf. Mobile Ad-Hoc and Sensor Networks (MSN 06), 317-328.
[4] Rudafshani, M. and Datta, S. (2007) Localization in Wireless Sensor Networks. Proc. 6th International Conf. Information Processing in Sensor Networks (IPSN 07), 51-60.
[5] Zhang, S.G., Cao, J.N., Chen, L.J. and Chen, D.X. (2010) Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks. IEEE Transactions on Mobile Computing, 9, 897-910.
[6] Zeng, Y.P., Cao, J.N., Hong, J., Zhangt, S.G. and Xie, L. (2009) SecMCL: A Secure Monte Carlo Localization Algorithm for Mobile Sensor Networks. Mobile Adhoc and Sensor Systems, MASS ’09.
[7] Capkun, S. and Hubaux, J.-P. (2006) Secure Positioning in Wireless Networks. IEEE Journals on Selective Areas in Communication, 24.
[8] Lazos, L., Poovendran, R. and Capkun, S. (2005) ROPE: Robust Position Estimation in Wireless Sensor Networks. The Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, IPSN 05.
[9] Hu, L. and Evans, D. (2004) Using Directional Antennas to Prevent Wormhole Attacks. NDSS04, San Diego.
[10] Bettstetter, C., Hartenstein, H. and Costa, X.P. (2003) Stochastic Properties of the Random Waypoint Mobility Model. ACM/Kluwer Wireless Networks, Special Issue on Modeling Analysis of Mobile Networks.
[11] Stoleru, R., Wu, H. and Chenji, H. (2011) Secure Neighbor Discovery in Mobile Ad Hoc Networks. 8th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, 35-42.

Copyright © 2022 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.