Averaging approach for distributed event detection in wireless sensor networks

Authors:
The-Dung Pham;Hung Quoc Ngo;Sungyoung Lee;Young-Koo Lee
Affiliations:
Kyung Hee University, Yongin, Republic of Korea;Kyung Hee University, Yongin, Republic of Korea;Kyung Hee University, Yongin, Republic of Korea;Kyung Hee University, Yongin, Republic of Korea
Venue:
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Year:
2009

Citing 4
Cited 0

Geographic gossip: efficient aggregation for sensor networks

Proceedings of the 5th international conference on Information processing in sensor networks
Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links

IEEE Transactions on Signal Processing
Decentralized detection in sensor networks

IEEE Transactions on Signal Processing
Asymptotic results for decentralized detection in power constrained wireless sensor networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the problem of classifying among a set of M hypotheses via distributed noisy sensors. The sensors can collaborate over a communication network and the task is to arrive at a consensus about the event after exchanging messages. We reformulate the problem and apply distributed averaging algorithm as a strategy for collaboration to arrive at a solution, which is equivalent to the centralized maximum a posteriori (MAP) estimate. Some distributed averaging algorithms and strategies for choosing them are also introduced.