Abstract
In wireless networks, jamming attacks are easy to launch and can significantly impact the network performance. The technique which localizes the jamming attacker is useful to address this problem. Some range-based localization schemes depend on the additional hardware of wireless nodes too much, and they can not work in resource-constrained wireless networks. Solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches. In this paper, we propose a novel range-free algorithm to localize the source of the attacker. We show that our approach only relies on the positions of each jammed or no-jammed node in the network, PSO algorithm is used to get the minimum covering circle of jammed positions and the circle center is the estimated jammer location. We compare our work with some existing range-free solutions via extensive simulations in two models, which are wireless sensor network (WSN) and vehicular ad hoc network (VANET) respectively. The experimental results suggest that our proposed algorithm achieves higher accuracy than the other solutions, and the localization error goes down with larger number of recorded jammed positions. In additional, when the recorded jammed positions are distributed in a specific constrained area, the localization error goes higher, we also propose an improved PSO algorithm to deal with this issue.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wood, A.D., Stankovic, J.A., Son, S.H.: JAM: a jammed-area mapping service for sensor networks. In: 24th IEEE Real-Time Systems Symposium, RTSS 2003, pp. 286–297 (2003)
Jrme Hrri, F.F.: Mobility models for vehicular ad hoc networks: a survey and taxonomy. IEEE Commun. Surv. Tutorials 11, 19–41 (2009)
Xu, W., Trappe, W., Zhang, Y., Wood, T.: The feasibility of launching and detecting jamming attacks in wireless networks. In: ACM International Symposium on Mobile Ad-hoc Networking and Computing, MobiHoc 2005, p. 46 (2005)
Schmitt, J.B., Giustiniano, D.: Detection of reactive jamming in DSSS-based wireless networks detection of reactive jamming in DSSS-based wireless networks. IEEE Trans. Wirel. Commun. 13, 1593–1603 (2013)
Sasikala, E., Rengarajan, N.: An intelligent technique to detect jamming attack in wireless sensor networks (WSNs). Int. J. Fuzzy Syst. 17, 76–83 (2015)
Siddhabathula, K.: Fast jamming detection in wireless sensor networks. In: IEEE International Conference on Communications, pp. 934–938 (2010)
Misra, S., Singh, R., Mohan, S.V.R.: Information warfare-worthy jamming attack detection mechanism for wireless sensor networks using a fuzzy inference system. Sensors 10, 3444–3479 (2010)
Muraleedharan, R., Osadciw, L.A.: Jamming attack detection and countermeasures in wireless sensor network using ant system. In: Proceedings of the SPIE - International Society for Optical Engineering, vol. 6248, pp. 62480G–62480G-12 (2006)
Liu, Q., Yin, J., Yu, S.: A bio-inspired jamming detection and restoration for WMNs: in view of adaptive immunology (2013)
Pickholtz, R.L., Schilling, D.L., Milstein, L.B.: Revisions to “theory of spread-spectrum communications - a tutorial”. IEEE Trans. Commun. 32, 211–212 (1984)
Agalj, M., Apkun, S., Hubaux, J.P.: Wormhole-based antijamming techniques in sensor networks. IEEE Educational Activities Department (2007)
Xu, W.: Channel surfing: defending wireless sensor networks from interference. In: 2007 6th International Symposium on Information Processing in Sensor Networks, pp. 499–508 (2007)
Xu, W., Trappe, W., Zhang, Y.: Anti-jamming timing channels for wireless networks. In: Proceedings of the first ACM Conference on Wireless Network Security - WiSec 2008, p. 203 (2008)
Vadlamani, S., Eksioglu, B., Medal, H., Nandi, A.: Jamming attacks on wireless networks: a taxonomic survey (2016)
Hussein, A.A., Rahman, T.A., Leow, C.Y.: A survey and open issues of jammer localization techniques in wireless sensor networks. J. Theor. Appl. Inf. Technol. 71, 293–301 (2015)
Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF based user location and tracking system. In: Proceedings IEEE INFOCOM 2000, Conference on Computer Communications, Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No. 00CH37064), pp. 775–784 (2000)
Elnahrawy, E., Li, X., Martin, R.P.: The limits of localization using signal strength: a comparative study. In: 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, IEEE SECON 2004, pp. 406–414 (2004)
Misra, P., Enge, P.: Global Positioning System: Signal, Measurements, and Performance. Ganga-Jamuna Press, Lincoln (2006)
Yang, Z., Ekici, E., Xuan, D.: A localization-based anti-sensor network system. In: Proceedings of IEEE INFOCOM, pp. 2396–2400 (2007)
Bulusu, N., Heidermann, J., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. IEEE Pers. Commun. 7, 28–34 (2000). Special Issue on Smart Spaces and Environment
Blumenthal, J., Grossmann, R., Golatowski, F., Timmermann, D.: Weighted centroid localization in Zigbee-based sensor networks. In: IEEE International Symposium on Intelligent Signal Processing, pp. 1–6 (2007)
Liu, H., Xu, W., Chen, Y., Liu, Z.: Localizing jammers in wireless networks. In: 7th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2009, pp. 1–6. IEEE (2009)
Mokdad, L., Ben-Othman, J., Nguyen, A.T.: DJAVAN: detecting jamming attacks in vehicle ad hoc networks. Perform. Eval. 87, 47–59 (2015)
Pelechrinis, K., Koutsopoulos, I., Broustis, I., Krishnamurthy, S.V.: Jammer localization in wireless networks: an experimentation-driven approach. Comput. Commun. 86, 75–85 (2016)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (2003)
Sun, Y., Wang, X., Zhou, X.: Jammer localization for wireless sensor networks. Chin. J. Electron. 20, 735–738 (2011)
Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. In: Swarm Intelligence Symposium, SIS 2007, pp. 120–127. IEEE (2007)
Kennedy, J.: The particle swarm: social adaptation of knowledge. In: Proceedings of 1997 IEEE International Conference on Evolutionary Computation, ICEC 1997, pp. 303–308 (1997)
Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pang, L., Chen, X., Xue, Z., Khatoun, R. (2017). A Novel Range-Free Jammer Localization Solution in Wireless Network by Using PSO Algorithm. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_17
Download citation
DOI: https://doi.org/10.1007/978-981-10-6388-6_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6387-9
Online ISBN: 978-981-10-6388-6
eBook Packages: Computer ScienceComputer Science (R0)