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Wireless communication is susceptible to radio interference and jamming attacks, which prevent the reception of communications. Most existing anti-jamming work does not consider the location information of radio interferers and jammers. However, this information can provide important insights for networks to manage its resource in different layers and to defend against radio interference. In this paper, the authors investigate issues associated with localizing jammers in wireless networks. In particular, they formulate the jamming effects using two jamming models: region-based and Signal-to-Noise-Ratio (SNR)- based; and they categorize network nodes into three states based on the level of disturbance caused by the jammer. By exploiting the states of nodes, they propose to localize jammers in wireless networks using a virtual-force iterative approach.
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