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In Cognitive Radio Networks (CRNs), secondary users must be able to accurately and reliably track the location of small-scale mobile primary users/devices (e.g., wireless microphones) in order to efficiently utilize spatial spectrum opportunities, while protecting primary communications. However, accurate tracking of the location of mobile primary users is difficult due mainly to the CR-unique constraint, i.e., localization must rely solely on reported sensing results (i.e., measured primary signal strengths), which can easily be compromised by malicious sensors (or attackers). To cope with this challenge, the authors propose a new framework, called SOLID (Sequential mOnte carLo combIned with shadow-faDing estimation), for accurate, attack/fault-tolerant tracking of small-scale mobile primary users.
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