Loss Temporal Dependency Tomography in Wireless Sensor Network
作者： Yongjun Li , Wandong Cai , Wenli Ji , Tao Zhao
关键词:
摘要: Due to the inherent stringent bandwidth and energy constraints, it is usually impractical directly collect link loss statistical data from each node in sensor network. Here we consider problem of inferring internal characteristics end-to-end measurement. We use Gilbert error model losses, formulate estimation as a Bayesian inference problem, propose MCMC algorithm solve it. The simulation shows that performance parameters can be inferred accurately, proposed scales well according network size.
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