2011
DOI: 10.14569/ijacsa.2011.020519
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A Neural Approach for Reliable and Fault Tolerant Wireless Sensor Networks

Abstract: Abstract-This paper presents a neural model for reliable and fault tolerant transmission in Wireless Sensor Networks based on Bi-directional Associative Memory. The proposed model is an attempt to enhance the performances of both the cooperative and non cooperative Automatic Repeat Request (ARQ) schemes in terms of reliability and fault tolerance. We have also demonstrated the performances of both the schemes with the help of suitable examples.

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Cited by 6 publications
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“…Future research in WSN will essentially involve in developing new algorithms to address reliability problem of the sensor nodes [26]. Addressing reliability is very important for WSNs as it has a direct correlation to scalability, power efficiency, mobility and responsiveness [27].…”
Section: Reliabilitymentioning
confidence: 99%
“…Future research in WSN will essentially involve in developing new algorithms to address reliability problem of the sensor nodes [26]. Addressing reliability is very important for WSNs as it has a direct correlation to scalability, power efficiency, mobility and responsiveness [27].…”
Section: Reliabilitymentioning
confidence: 99%