Multi-jammer localization in wireless sensor networks

Jamming attack is one of the most severe attacks in wireless sensor networks (WSNs). While existing counter-measures mainly focus on designing new communication mechanisms to survive under jamming, an alternative solution is to first localize the jammer(s) and then take necessary actions. In this work, we solve a multi-jammer localization problem, where multiple jammers launch collaborative jamming attacks. We develop an x-rayed jammed-area localization (X-ray) algorithm which skeletonizes jammed areas and estimates the jammer locations based on bifurcation points on skeletons of jammed areas. Our extensive simulation results demonstrate that with one run of the algorithms, X-ray is efficient in localizing multiple jammers in WSN with small errors.