New Trends of Computational Intelligence in Health Applications | |
An Uncertainty Quantification Algorithm for Performance Evaluation in Wireless Sensor Network Applications | |
计算机科学, 生命科学 | |
Dong YU | |
Others : http://ceur-ws.org/Vol-944/cihealth2.pdf PID : 26938 |
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学科分类:计算机科学(综合) | |
来源: CEUR | |
【 摘 要 】
The potential applications of Wireless Sensor Networks (WSNs) span a very wide range. One of the application domains is in healthcare industry. 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. Before WSNs widespread involvement in life or death critical applications, an urgent need is a generic systematic evaluation methodology for decision makers to evaluate performance among alternative solutions taking into account the cohesion 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.
【 预 览 】
Files | Size | Format | View |
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An Uncertainty Quantification Algorithm for Performance Evaluation in Wireless Sensor Network Applications | 888KB | download |