A dynamic heuristic for WSNs routing

One of the most important issues in the wireless sensor networks (WSNs) is nodes energy. The routing protocols as well as nodes management are considered as the key elements to improve a network’s lifetime. In this research, we have suggested a dynamic heuristic for new nodes selection that manages...

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Main Author: Mohamed Tounsi
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2021.1919040
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spelling doaj-68012d29e5ae43e7bb8f6bb1da00868f2021-06-02T09:20:57ZengTaylor & Francis GroupCogent Engineering2331-19162021-01-018110.1080/23311916.2021.19190401919040A dynamic heuristic for WSNs routingMohamed Tounsi0Prince Sultan UniversityOne of the most important issues in the wireless sensor networks (WSNs) is nodes energy. The routing protocols as well as nodes management are considered as the key elements to improve a network’s lifetime. In this research, we have suggested a dynamic heuristic for new nodes selection that manages efficiently the active nodes using a Tabu Node Selection coupled with minimum spanning tree routing protocol (TNS). Minimizing the total energy consumption in WSN, is not enough alone, since some nodes drain their energy faster than others, and may cause network failure. To balance the energy consumption, our strategy is to identify nodes with high-energy depletion and balance data routing on their neighbours. This approach performs nodes energy balancing, by creating lists of Tabu nodes (periodically inactive nodes). Such a scheme will prevent the most used nodes, such as nodes close to the base station to see their energy drain. The nodes in the Tabu lists will dynamically be active according to the energy level of nodes surrounding them. Our new dynamic heuristic has proven to outperform other nodes management approach which does not use Tabu search. The experiments show that Tabu list combined with Minimum Spanning Tree routing protocol extend drastically the network lifetime by balancing optimally the nodes energy.http://dx.doi.org/10.1080/23311916.2021.1919040wsnstabu heuristicresidual energyminimum spanning treenetwork lifetime
collection DOAJ
language English
format Article
sources DOAJ
author Mohamed Tounsi
spellingShingle Mohamed Tounsi
A dynamic heuristic for WSNs routing
Cogent Engineering
wsns
tabu heuristic
residual energy
minimum spanning tree
network lifetime
author_facet Mohamed Tounsi
author_sort Mohamed Tounsi
title A dynamic heuristic for WSNs routing
title_short A dynamic heuristic for WSNs routing
title_full A dynamic heuristic for WSNs routing
title_fullStr A dynamic heuristic for WSNs routing
title_full_unstemmed A dynamic heuristic for WSNs routing
title_sort dynamic heuristic for wsns routing
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2021-01-01
description One of the most important issues in the wireless sensor networks (WSNs) is nodes energy. The routing protocols as well as nodes management are considered as the key elements to improve a network’s lifetime. In this research, we have suggested a dynamic heuristic for new nodes selection that manages efficiently the active nodes using a Tabu Node Selection coupled with minimum spanning tree routing protocol (TNS). Minimizing the total energy consumption in WSN, is not enough alone, since some nodes drain their energy faster than others, and may cause network failure. To balance the energy consumption, our strategy is to identify nodes with high-energy depletion and balance data routing on their neighbours. This approach performs nodes energy balancing, by creating lists of Tabu nodes (periodically inactive nodes). Such a scheme will prevent the most used nodes, such as nodes close to the base station to see their energy drain. The nodes in the Tabu lists will dynamically be active according to the energy level of nodes surrounding them. Our new dynamic heuristic has proven to outperform other nodes management approach which does not use Tabu search. The experiments show that Tabu list combined with Minimum Spanning Tree routing protocol extend drastically the network lifetime by balancing optimally the nodes energy.
topic wsns
tabu heuristic
residual energy
minimum spanning tree
network lifetime
url http://dx.doi.org/10.1080/23311916.2021.1919040
work_keys_str_mv AT mohamedtounsi adynamicheuristicforwsnsrouting
AT mohamedtounsi dynamicheuristicforwsnsrouting
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