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Multi-agent Negotiation Mechanisms for Statistical Target Classification in Wireless Multimedia Sensor Networks
State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084, P. R. China
* Author to whom correspondence should be addressed.
Received: 24 September 2007 / Accepted: 9 October 2007 / Published: 11 October 2007
Abstract: The recent availability of low cost and miniaturized hardware has allowedwireless sensor networks (WSNs) to retrieve audio and video data in real worldapplications, which has fostered the development of wireless multimedia sensor networks(WMSNs). Resource constraints and challenging multimedia data volume makedevelopment of efficient algorithms to perform in-network processing of multimediacontents imperative. This paper proposes solving problems in the domain of WMSNs fromthe perspective of multi-agent systems. The multi-agent framework enables flexible networkconfiguration and efficient collaborative in-network processing. The focus is placed ontarget classification in WMSNs where audio information is retrieved by microphones. Todeal with the uncertainties related to audio information retrieval, the statistical approachesof power spectral density estimates, principal component analysis and Gaussian processclassification are employed. A multi-agent negotiation mechanism is specially developed toefficiently utilize limited resources and simultaneously enhance classification accuracy andreliability. The negotiation is composed of two phases, where an auction based approach isfirst exploited to allocate the classification task among the agents and then individual agentdecisions are combined by the committee decision mechanism. Simulation experiments withreal world data are conducted and the results show that the proposed statistical approachesand negotiation mechanism not only reduce memory and computation requi
Keywords: Wireless multimedia sensor networks; multi-agent negotiation; committee decision; Gaussian process classification; principal component analysis.
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Cite This Article
MDPI and ACS Style
Xue, W.; Bishop, D.-W.; Ding, L.; Wang, S. Multi-agent Negotiation Mechanisms for Statistical Target Classification in Wireless Multimedia Sensor Networks. Sensors 2007, 7, 2201-2237.
Xue W, Bishop D-W, Ding L, Wang S. Multi-agent Negotiation Mechanisms for Statistical Target Classification in Wireless Multimedia Sensor Networks. Sensors. 2007; 7(10):2201-2237.
Xue, Wang; Bishop, Dao-wei; Ding, Liang; Wang, Sheng. 2007. "Multi-agent Negotiation Mechanisms for Statistical Target Classification in Wireless Multimedia Sensor Networks." Sensors 7, no. 10: 2201-2237.