Affiliations: [a] School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China | [b] Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA | [c] US Army Research Laboratory, Adelphi, MD, USA
Correspondence:
[*]
Corresponding author: Sencun Zhu, Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA 16802, USA. Tel.: +1 081 486 5995; E-mail: [email protected].
Abstract: Jamming is one of the most severe attacks in wireless sensor networks (WSNs). While existing countermeasures mainly focus on designing new communication mechanisms to survive under jamming, a proactive solution is to first localize the jammer(s) and then take necessary actions. Unlike the existing work that focuses on localizing a single jammer in WSNs, this work solves a multi-jammer localization problem, where multiple jammers launch collaborative attacks. We develop two multi-jammer localization algorithms: a multi-cluster localization (M-cluster) algorithm and an X-rayed jammed-area localization (X-ray) algorithm. Our extensive simulation results demonstrate that with one run of the algorithms, both M-cluster and X-ray are efficient in localizing multiple jammers in a wireless sensor network with small errors.
