Graduate School and Research Center in Digital Sciences

Catch the jammer in wireless sensor network

Sun, Yanqiang; Molva, Refik; Önen, Melek; Wang, Xiaodong; Zhou, Xingming

PIMRC 2011, 22nd Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, September 11-14, 2011, Toronto, Canada

Jamming attacks can severely affect the performance of Wireless Sensor Networks (WSNs) due to their broadcast nature. The most reliable solution to reduce the impact of such attacks is to detect and localize the source of the attack. In this paper, we investigate the feasibility of localizing an omni-antenna jammer. We propose Catch the Jammer (CJ), an efficient jammer localization scheme whereby victim nodes at the border of the jammed region share their location information with their one-hop neighbor nodes which further collaborate to find the position of the jammer. This new localization technique first computes a convex hull for the set of victim nodes and further extracts the corresponding minimum covering circle. Simulation results show that CJ outperforms most of the existing localization algorithms depending on the variation of the jammer's transmission range and the position of the jammer.        

Document Doi Bibtex

Title:Catch the jammer in wireless sensor network
Keywords:wireless sensor network; jammer; localization; convex hull; minimum circle covering
Department:Digital Security
Eurecom ref:3546
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Bibtex: @inproceedings{EURECOM+3546, doi = { }, year = {2011}, title = {{C}atch the jammer in wireless sensor network}, author = {{S}un, {Y}anqiang and {M}olva, {R}efik and {\"{O}}nen, {M}elek and {W}ang, {X}iaodong and {Z}hou, {X}ingming}, booktitle = {{PIMRC} 2011, 22nd {A}nnual {IEEE} {I}nternational {S}ymposium on {P}ersonal, {I}ndoor and {M}obile {R}adio {C}ommunications, {S}eptember 11-14, 2011, {T}oronto, {C}anada }, address = {{T}oronto, {CANADA}}, month = {09}, url = {} }
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