Abstract

"The communication in wireless network can be disrupted by jammers in the network. Jammers’ position information allows the defender to actively eliminate the jamming attacks. In this paper, our aim is to design a framework that localizes one or multiple jammers with a high accuracy. Almost all of existing jammer-localization methods utilize indirect measurements (i.e. hearing ranges) affected by jamming attacks which does not localize jammers accurately. We use a direct measurement technique–the strength of jamming signals (JSS). Estimating JSS is challenging as jamming signals may be embedded in other signals. We used estimation scheme based on ambient noise floor. To further reduce estimation errors, we define an evaluation feedback metric to quantify the estimation errors and formulate jammer localization as a non-linear optimization problem, whose global optimal solution is close to jammers’ true positions. Our simulation results show that our error-minimizing-based framework achieves better performance than the existing schemes .In this paper we took the average jammer location obtained by centroids based method and JSS based direct measurement technique. In addition to existing work, our error minimizing framework utilizes indirect measurements to obtain a better location estimation compared with prior work."

Authors and Affiliations