Collaborative Event Region Detection in Wireless Sensor Networks Using Markov Random Fields
作者： Tsang-Yi Wang , Chao-Tang Yu
DOI: 10.1109/ISWCS.2005.1547750
关键词: Soft sensor 、 Key distribution in wireless sensor networks 、 Artificial intelligence 、 Markov process 、 Brooks–Iyengar algorithm 、 Sensor fusion 、 Wireless sensor network 、 Mobile wireless sensor network 、 Real-time computing 、 Computer science 、 Machine learning 、 Visual sensor network
摘要: Research on event region detection problems in wireless sensor networks (WSN) has received a great amount of interest recently. In these problems, are asked to determine where the regions or boundaries environment. Each could have its observation coming from own hypothesis. Sensor nodes WSN different true hypotheses. this paper, design fusion rule when observe phenomenon is considered. Based Markov random fields (MRF) model and new technique, we propose MRF algorithm that can resolve problem under consideration. The used spatial correlation, technique considers concept reliability. Some important issues WSN, such as channel transmission errors possible faults also considered paper. By numerical simulations, shown proposed result good performance
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