Joint synchronization and localization based on Gaussian belief propagation in sensor networks
作者： Weijie Yuan , Nan Wu , Hua Wang , Bin Li , Jingming Kuang
关键词:
摘要: In wireless sensor networks, acquiring accurate timing information is a crucial requirement for time-based localization. Utilizing joint localization and synchronization method in networks can improve positioning speed accuracy. this paper, we present unified factor graph framework based on time of arrival (TOA) measurements to solve the problem synchronization. A novel distributed cooperative estimation belief propagation (BP) proposed. We linearize nonlinear terms messages order obtain closed Gaussian form solution message update. Accordingly, only means variances have be updated transmitted, which significantly reduce communication overhead computational complexity. To further overhead, propose passing schedule. Simulation results show that proposed BP reach close performance particle-based approaches with lower
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