ANN based novel approach to detect node failure in wireless sensor network
A wireless sensor network (WSN) consists of several tiny sensor nodes to monitor, collect, and transmit the physical information from an environment through the wireless channel. The node failure is considered as one of themain issues in theWSN which creates higher packet drop, delay, and energy con...
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Online Access: | http://eprints.utm.my/id/eprint/96592/1/GanthanNarayana2021_ANNbasedNovelApproachtoDetectNode.pdf http://eprints.utm.my/id/eprint/96592/ http://dx.doi.org/10.32604/cmc.2021.014854 |
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my.utm.965922022-07-31T01:18:48Z http://eprints.utm.my/id/eprint/96592/ ANN based novel approach to detect node failure in wireless sensor network Perumal, Sundresan Tabassum, Mujahid Narayana, Ganthan Ponnan, Suresh Chakraborty, Chinmay Mohanan, Saju Basit, Zeeshan Quasim, Mohammad Tabrez QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering A wireless sensor network (WSN) consists of several tiny sensor nodes to monitor, collect, and transmit the physical information from an environment through the wireless channel. The node failure is considered as one of themain issues in theWSN which creates higher packet drop, delay, and energy consumption during the communication. Although the node failure occurred mostly due to persistent energy exhaustion during transmission of data packets. In this paper, Artificial Neural Network (ANN) based Node Failure Detection (NFD) is developed with cognitive radio for detecting the location of the node failure. The ad hoc on-demand distance vector (AODV) routing protocol is used for transmitting the data from the source node to the base station. Moreover, the Mahalanobis distance is used for detecting an adjacent node to the node failure which is used to create the routing path without any node failure. The performance of the proposed ANN-NFD method is analysed in terms of throughput, delivery rate, number of nodes alive, drop rate, end to end delay, energy consumption, and overhead ratio. Furthermore, the performance of the ANN-NFD method is evaluated with the header to base station and base station to header (H2B2H) protocol. The packet delivery rate of the ANN-NFD method is 0.92 for 150 nodes that are high when compared to the H2B2H protocol. Hence, the ANN-NFD method provides data consistency during data transmission under node and battery failure. Tech Science Press 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/96592/1/GanthanNarayana2021_ANNbasedNovelApproachtoDetectNode.pdf Perumal, Sundresan and Tabassum, Mujahid and Narayana, Ganthan and Ponnan, Suresh and Chakraborty, Chinmay and Mohanan, Saju and Basit, Zeeshan and Quasim, Mohammad Tabrez (2021) ANN based novel approach to detect node failure in wireless sensor network. Computers, Materials and Continua, 69 (2). pp. 1447-1462. ISSN 1546-2218 http://dx.doi.org/10.32604/cmc.2021.014854 DOI:10.32604/cmc.2021.014854 |
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QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Perumal, Sundresan Tabassum, Mujahid Narayana, Ganthan Ponnan, Suresh Chakraborty, Chinmay Mohanan, Saju Basit, Zeeshan Quasim, Mohammad Tabrez ANN based novel approach to detect node failure in wireless sensor network |
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A wireless sensor network (WSN) consists of several tiny sensor nodes to monitor, collect, and transmit the physical information from an environment through the wireless channel. The node failure is considered as one of themain issues in theWSN which creates higher packet drop, delay, and energy consumption during the communication. Although the node failure occurred mostly due to persistent energy exhaustion during transmission of data packets. In this paper, Artificial Neural Network (ANN) based Node Failure Detection (NFD) is developed with cognitive radio for detecting the location of the node failure. The ad hoc on-demand distance vector (AODV) routing protocol is used for transmitting the data from the source node to the base station. Moreover, the Mahalanobis distance is used for detecting an adjacent node to the node failure which is used to create the routing path without any node failure. The performance of the proposed ANN-NFD method is analysed in terms of throughput, delivery rate, number of nodes alive, drop rate, end to end delay, energy consumption, and overhead ratio. Furthermore, the performance of the ANN-NFD method is evaluated with the header to base station and base station to header (H2B2H) protocol. The packet delivery rate of the ANN-NFD method is 0.92 for 150 nodes that are high when compared to the H2B2H protocol. Hence, the ANN-NFD method provides data consistency during data transmission under node and battery failure. |
format |
Article |
author |
Perumal, Sundresan Tabassum, Mujahid Narayana, Ganthan Ponnan, Suresh Chakraborty, Chinmay Mohanan, Saju Basit, Zeeshan Quasim, Mohammad Tabrez |
author_facet |
Perumal, Sundresan Tabassum, Mujahid Narayana, Ganthan Ponnan, Suresh Chakraborty, Chinmay Mohanan, Saju Basit, Zeeshan Quasim, Mohammad Tabrez |
author_sort |
Perumal, Sundresan |
title |
ANN based novel approach to detect node failure in wireless sensor network |
title_short |
ANN based novel approach to detect node failure in wireless sensor network |
title_full |
ANN based novel approach to detect node failure in wireless sensor network |
title_fullStr |
ANN based novel approach to detect node failure in wireless sensor network |
title_full_unstemmed |
ANN based novel approach to detect node failure in wireless sensor network |
title_sort |
ann based novel approach to detect node failure in wireless sensor network |
publisher |
Tech Science Press |
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2021 |
url |
http://eprints.utm.my/id/eprint/96592/1/GanthanNarayana2021_ANNbasedNovelApproachtoDetectNode.pdf http://eprints.utm.my/id/eprint/96592/ http://dx.doi.org/10.32604/cmc.2021.014854 |
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