Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks.
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| Title: | Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks. |
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| Authors: | Singh, Vishal Krishna1 (AUTHOR) rs149@iiita.ac.in, Verma, Rahul1 (AUTHOR) rahulv.2408@gmail.com, Kumar, Manish1 (AUTHOR) manish@iiita.ac.in |
| Source: | IETE Journal of Research. Nov2017, Vol. 63 Issue 6, p834-844. 11p. |
| Subjects: | Wireless sensor networks, Probabilistic inference, Energy consumption, Data transmission systems, Markov random fields |
| Abstract: | A dense deployment in a wireless sensor network results in multiple nodes reporting the same event. Although data correlation is a much sought parameter for accurate event detection, such uncontrolled transmissions result in high in-network traffic, network congestion, and packet loss. Existing event detection schemes usually consider an acceptable trade-off between the detection accuracy and energy conservation. Therefore, a novel delay-based event detection scheme is proposed in this work to minimize the in-network traffic at the leaf level and optimize the overall energy consumption of the deployed network. The optimal data transmission path to the sink is chosen via a fitness function calculated for all the potential cliques in a Markov random field-based sensor network. Extensive simulation analysis of the proposed scheme proves its efficacy in terms of detection accuracy, communication cost, delivery delay, network energy, and packet delivery ratio. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | A dense deployment in a wireless sensor network results in multiple nodes reporting the same event. Although data correlation is a much sought parameter for accurate event detection, such uncontrolled transmissions result in high in-network traffic, network congestion, and packet loss. Existing event detection schemes usually consider an acceptable trade-off between the detection accuracy and energy conservation. Therefore, a novel delay-based event detection scheme is proposed in this work to minimize the in-network traffic at the leaf level and optimize the overall energy consumption of the deployed network. The optimal data transmission path to the sink is chosen via a fitness function calculated for all the potential cliques in a Markov random field-based sensor network. Extensive simulation analysis of the proposed scheme proves its efficacy in terms of detection accuracy, communication cost, delivery delay, network energy, and packet delivery ratio. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 03772063 |
| DOI: | 10.1080/03772063.2017.1329637 |
