An Uncertainty Quantification Algorithm for Performance Evaluation in Wireless Sensor Network Applications

Publisher:
CEUR Workshop Proceedings
Publication Type:
Conference Proceeding
Citation:
Workshop on New Trends of Computational Intelligence in Health Applications In conjunction with the 25th Australasian Joint Conference on Artificial Intelligence (AI 2012), 2012, pp. 12 - 23
Issue Date:
2012-01
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The potential applications of Wireless Sensor Networks (WSNs) span a very wide range. One of the application domains is in healthcare indus-try. The diverse WSN application requirements signify the need of application specific methodology for system design and performance evaluation. Moreover the performance of typical wireless network is stochastic in nature, Probability is an essential instrument needed to assess the performance characteristics. Be-fore WSNs widespread involvement in life or death critical applications, an ur-gent need is a generic systematic evaluation methodology for decision makers to evaluate performance among alternative solutions taking into account the co-hesion characteristic. This paper offers a quantative decision making procedure to incorporate performance deviation as a target performance metric. Decision making is guided by goals and objectives for the particular application specified by application domain experts.
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