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Various sensor types, e.g., temperature, humidity, and acoustic, sense physical phenomena in different ways, and thus, are expected to have different sensing models. Even for the same sensor type, the sensing model may need to be changed in different environments. Designing and testing a different coverage protocol for each sensing model is indeed a costly task. To address this challenging task, the authors propose a new Probabilistic Coverage Protocol (denoted by PCP) that could employ different sensing models. They show that PCP works with the common disk sensing model as well as probabilistic sensing models, with minimal changes. They analyze the complexity of PCP and prove its correctness.
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