

Author: Wang Xue Bi Dao-wei Ding Liang Wang Sheng
Publisher: MDPI
E-ISSN: 1424-8220|7|10|2201-2237
ISSN: 1424-8220
Source: Sensors, Vol.7, Iss.10, 2007-10, pp. : 2201-2237
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
The recent availability of low cost and miniaturized hardware has allowed wireless sensor networks (WSNs) to retrieve audio and video data in real world applications, which has fostered the development of wireless multimedia sensor networks (WMSNs). Resource constraints and challenging multimedia data volume make development of efficient algorithms to perform in-network processing of multimedia contents imperative. This paper proposes solving problems in the domain of WMSNs from the perspective of multi-agent systems. The multi-agent framework enables flexible network configuration and efficient collaborative in-network processing. The focus is placed on target classification in WMSNs where audio information is retrieved by microphones. To deal with the uncertainties related to audio information retrieval, the statistical approaches of power spectral density estimates, principal component analysis and Gaussian process classification are employed. A multi-agent negotiation mechanism is specially developed to efficiently utilize limited resources and simultaneously enhance classification accuracy and reliability. The negotiation is composed of two phases, where an auction based approach is first exploited to allocate the classification task among the agents and then individual agent decisions are combined by the committee decision mechanism. Simulation experiments with real world data are conducted and the results show that the proposed statistical approaches and negotiation mechanism not only reduce memory and computation requirements in WMSNs but also significantly enhance classification accuracy and reliability.
Related content


Agent Collaborative Target Localization and Classification in Wireless Sensor Networks
By Wang Xue Bi Dao-wei Ding Liang Wang Sheng
Sensors, Vol. 7, Iss. 8, 2007-07 ,pp. :




A Multi-Agent System Architecture for Sensor Networks
By Fuentes-Fernández Rubén Guijarro María Pajares Gonzalo
Sensors, Vol. 9, Iss. 12, 2009-12 ,pp. :


Target Tracking and Classification from Labeled and Unlabeled Data in Wireless Sensor Networks
Sensors, Vol. 14, Iss. 12, 2014-12 ,pp. :


A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
By Alaei Mohammad Barcelo-Ordinas Jose M.
Sensors, Vol. 10, Iss. 4, 2010-03 ,pp. :