Performance measurement in wireless sensor networks using time-frequency analysis and neural networks

dc.contributor.author Chen, Chia Pang
dc.contributor.author Jiang, Joe Air
dc.contributor.author Mukhopadhyay, S. C.
dc.contributor.author Suryadevara, N. K.
dc.date.accessioned 2022-03-27T05:57:57Z
dc.date.available 2022-03-27T05:57:57Z
dc.date.issued 2014-01-01
dc.description.abstract One of the major challenges in wireless sensor networks (WSNs) is reliability which is not necessarily a measurable single point; however, it's the result of a number of considerations including the sensor consensus, complexity of WSN systems, integration of different kinds of sensors and electronics, and the harsh environment. Evaluating reliability of WSNs is a crucial part for any kinds of applications in order to attain a better quality of service. Once the reliability of a WSN degrades the operators can take an appropriate action to recover it, such as replacement of sensors/electronics/ battery, change of network configuration, etc. In this paper, we surveyed the literature which discusses the fault diagnosis of WSNs and presented a conceptual approach for performance measurement of sensors in terms of reliability. © 2014 IEEE.
dc.identifier.citation Conference Record - IEEE Instrumentation and Measurement Technology Conference
dc.identifier.issn 10915281
dc.identifier.uri 10.1109/I2MTC.2014.6860933
dc.identifier.uri http://ieeexplore.ieee.org/document/6860933/
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8949
dc.subject performance measurement
dc.subject Relability assessment
dc.subject wireless sensor networks
dc.title Performance measurement in wireless sensor networks using time-frequency analysis and neural networks
dc.type Conference Proceeding. Conference Paper
dspace.entity.type
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