A two-tier data dissemination model for large-scale wireless sensor networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Loss inference in wireless sensor networks based on data aggregation
Proceedings of the 3rd international symposium on Information processing in sensor networks
Measurement and monitoring in wireless sensor networks
Measurement and monitoring in wireless sensor networks
Contour maps: monitoring and diagnosis in sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Loss tomography in wireless sensor network using Gibbs sampling
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Using Bayesian network on network tomography
Computer Communications
Multicast-based loss inference with missing data
IEEE Journal on Selected Areas in Communications
A factor graph approach to link loss monitoring in wireless sensor networks
IEEE Journal on Selected Areas in Communications
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Compared to wired networks, sensor network pose limited resources challenges for monitoring functions. Therefore, we propose to use only end-to-end application data to infer loss performance of internal network links based on the data aggregation process. We introduce inference techniques based on BC (Bound and Collapse) and EM (Expectation Maximize) principles, which often handle well to infer link loss rate form incomplete data set. Through the simulation, we can safely reach the conclusion that the internal link loss rate can be inferred more accurately than before, and the simulation also shows that the proposed algorithm scales well according to the sensor network size