Managing data incest in a distributed sensor network

TitleManaging data incest in a distributed sensor network
Publication TypeConference Paper
Year of Publication2003
AuthorsMcLaughlin, S., V. Krishnamurthy, and S. Challa
Conference NameAcoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
PaginationV - 269-72 vol.5
Date Publishedapr.
Keywordsbiased overall estimate, data incest, distributed sensor network, distributed sensors, identical information usage, incest free estimates, many-to-many sensor network configurations, multisensor data fusion, network architecture, sensor fusion
Abstract

Multisensor data fusion is one of the key evolving technologies that can be implemented on several architectures. Distributed sensor network architecture provides a good balance between cost, scalability and communication limits of links connecting multiple sensors. However, this architecture is prone to the problem of data incest. Data incest arises due to multiple usage of identical information as if it were independent information. In most cases, it will falsely increase the confidence of a biased overall estimate. It is a fundamental issue in the many-to-many sensor network configurations, where all network nodes are communicating with all nodes. This paper describes a fusion strategy which can be adopted for this distributed network structure that renders incest free estimates.

URLhttp://dx.doi.org/10.1109/ICASSP.2003.1199920
DOI10.1109/ICASSP.2003.1199920

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