Using stochastic process algebra models to estimate the quality of information in military sensor networks

David J Thornley; Chatschik Bisdikian; Duncan F. Gillies

doi:10.1117/12.777277

11 April 2008 Using stochastic process algebra models to estimate the quality of information in military sensor networks

David J Thornley, Chatschik Bisdikian, Duncan F. Gillies

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Proceedings Volume 6965, Modeling and Simulation for Military Operations III; 696507 (2008) https://doi.org/10.1117/12.777277
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In a typical military application, a wireless sensor network will operate in diffcult and dynamic conditions. Communication will be affected by local conditions, platform characteristics and power consumption constraints, and sensors may be lost during an engagement. It is clearly of great importance to decision makers to know what quality of information they can expect from a network in battlefield situations. We propose the development of a supporting technology founded in formal modeling, using stochastic process algebras for the development of quality of information measures. A simple example illustrates the central themes of outcome probability distribution prediction, and time-dependency analysis.

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David J Thornley, Chatschik Bisdikian, and Duncan F. Gillies "Using stochastic process algebra models to estimate the quality of information in military sensor networks", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 696507 (11 April 2008); https://doi.org/10.1117/12.777277

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