A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs)
Wireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the datafrom the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highlydifficult during adverse situations. This limitation of sens...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2021-01-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.1-7-2020.165677 |
| _version_ | 1818452067043246080 |
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| author | S. Prahadeeshwaran G. Priscilla |
| author_facet | S. Prahadeeshwaran G. Priscilla |
| author_sort | S. Prahadeeshwaran |
| collection | DOAJ |
| description | Wireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the datafrom the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highlydifficult during adverse situations. This limitation of sensor nodes greatly crumbles the network lifetime to a maximum degreeand degrades the level of reliable data dissemination. In this paper, a Novel Individual Updating Strategies-based HybridElephant Herding Optimization Algorithm (NIUS-HEHOA) is planned for facilitating energy balanced cluster head selectionfor the objective of extending the network lifetime. It included energy-aware optimization process during the clusteringschemes, since it is considered as a solution to the significant NP complete optimization problem. It is propounded as a swarmintelligent algorithms are identified to be the most applicable candidate for energy optimization that leads to significantimprovement in network lifetime. It is contributed to maintain the deviation between exploitation and exploration such thatleast potential sensor nodes are prevented from being chosen as cluster heads. The simulation experiments confirmed that theproposed NIUS-HEHOA scheme is better than the benchmarked schemes in terms of alive nodes, dead nodes, residual energy,network lifetime and throughput. |
| first_indexed | 2024-12-14T21:17:11Z |
| format | Article |
| id | doaj.art-7ae46c9ddd844585a58433959dee15c3 |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-12-14T21:17:11Z |
| publishDate | 2021-01-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-7ae46c9ddd844585a58433959dee15c32022-12-21T22:47:01ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2021-01-0183110.4108/eai.1-7-2020.165677A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs)S. Prahadeeshwaran0G. Priscilla1Assistant Professor, Department of IT, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamilnadu, IndiaProfessor, Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamilnadu, IndiaWireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the datafrom the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highlydifficult during adverse situations. This limitation of sensor nodes greatly crumbles the network lifetime to a maximum degreeand degrades the level of reliable data dissemination. In this paper, a Novel Individual Updating Strategies-based HybridElephant Herding Optimization Algorithm (NIUS-HEHOA) is planned for facilitating energy balanced cluster head selectionfor the objective of extending the network lifetime. It included energy-aware optimization process during the clusteringschemes, since it is considered as a solution to the significant NP complete optimization problem. It is propounded as a swarmintelligent algorithms are identified to be the most applicable candidate for energy optimization that leads to significantimprovement in network lifetime. It is contributed to maintain the deviation between exploitation and exploration such thatleast potential sensor nodes are prevented from being chosen as cluster heads. The simulation experiments confirmed that theproposed NIUS-HEHOA scheme is better than the benchmarked schemes in terms of alive nodes, dead nodes, residual energy,network lifetime and throughput.https://eudl.eu/pdf/10.4108/eai.1-7-2020.165677elephant herding optimizationnovel individual updating strategiescluster head selectionwireless sensor networks (wsns)network lifetime |
| spellingShingle | S. Prahadeeshwaran G. Priscilla A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs) EAI Endorsed Transactions on Energy Web elephant herding optimization novel individual updating strategies cluster head selection wireless sensor networks (wsns) network lifetime |
| title | A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs) |
| title_full | A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs) |
| title_fullStr | A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs) |
| title_full_unstemmed | A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs) |
| title_short | A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs) |
| title_sort | hybrid elephant optimization algorithm based cluster head selection to extend network lifetime in wireless sensor networks wsns |
| topic | elephant herding optimization novel individual updating strategies cluster head selection wireless sensor networks (wsns) network lifetime |
| url | https://eudl.eu/pdf/10.4108/eai.1-7-2020.165677 |
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