Intelligent Monitoring Scheduling in Wireless Sensor Networks

This paper describes a dynamic distributed monitoring scheduling algorithm (SOMSA) for sensor networks based on artificial neural-networks self-organizing maps algorithm. During the training, the stable sensor nodes compete and cooperate with their neighbors to study the input patterns of the enviro...

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Vydáno v:2008 4th International Conference on Wireless Communications, Networking and Mobile Computing s. 1 - 4
Hlavní autoři: Rong Gang Bai, Yu Gui Qu, Bao Hua Zhao, Zhi Ting Lin, Chun Ming Yang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2008
Témata:
Intelligent networks
Intelligent sensors
Monitoring
Neural networks
Processor scheduling
Scheduling algorithm
Self organizing feature maps
Sensor phenomena and characterization
Signal processing algorithms
Wireless sensor networks
ISBN:9781424421077, 1424421071
ISSN:2161-9646
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Shrnutí:This paper describes a dynamic distributed monitoring scheduling algorithm (SOMSA) for sensor networks based on artificial neural-networks self-organizing maps algorithm. During the training, the stable sensor nodes compete and cooperate with their neighbors to study the input patterns of the environment and update their internal prototype vectors using only local sensing and interactions. The adjustment stops gradually if the environment is changeless or gradually changed. In the end, the networks monitoring patterns will reflect the feature of the environment. Simulation indicates that this is a valid methodology, being especially promising for energy saving with limited resources.
ISBN:9781424421077
1424421071
ISSN:2161-9646
DOI:10.1109/WiCom.2008.909