Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime
The improvement of sensor networks’ lifetime has been a major research challenge in recent years. This is because sensor nodes are battery powered and may be difficult to replace when deployed. Low energy adaptive clustering hierarchical (LEACH) routing protocol was proposed to prolong sensor nodes...
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| Format: | Article |
| Language: | English |
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Springer
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/74580/1/Impact%20of%20the%20energy.pdf |
| _version_ | 1825950356622802944 |
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| author | Ahmed Amodu, Oluwatosin Raja Mahmood, Raja Azlina |
| author_facet | Ahmed Amodu, Oluwatosin Raja Mahmood, Raja Azlina |
| author_sort | Ahmed Amodu, Oluwatosin |
| collection | UPM |
| description | The improvement of sensor networks’ lifetime has been a major research challenge in recent years. This is because sensor nodes are battery powered and may be difficult to replace when deployed. Low energy adaptive clustering hierarchical (LEACH) routing protocol was proposed to prolong sensor nodes lifetime by dividing the network into clusters. In each cluster, a cluster head (CH) node receives and aggregates data from other nodes. However, CH nodes in LEACH are randomly elected which leads to a rapid loss of network energy. This energy loss occurs when the CH has a low energy level or when it is far from the BS. LEACH with two level cluster head (LEACH-TLCH) protocol deploys a secondary cluster head (2CH) to relieve the cluster head burden in these circumstances. However, in LEACH-TLCH the optimal distance of CH to base station (BS), and the choicest CH energy level for the 2CH to be deployed for achieving an optimal network lifetime was not considered. After a survey of related literature, we improved on LEACH-TLCH by investigating the conditions set to deploy the 2CH for an optimal network lifetime. Experiments were conducted to indicate how the 2CH impacts on the network at different CH energy levels and (or) CH distance to BS. This, is referred to as factor-based LEACH (FLEACH). Investigations in FLEACH show that as CHs gets farther from the BS, the use of a 2CH extends the network lifetime. Similarly, an increased lifetime also results as the CH energy decreases when the 2CH is deployed. We further propose FLEACH-E which uses a deterministic CH selection with the deployment of 2CH from the outset of network operation. Results show an improved performance over existing state-of-the-art homogeneous routing protocols. |
| first_indexed | 2024-03-06T10:13:21Z |
| format | Article |
| id | upm.eprints-74580 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:13:21Z |
| publishDate | 2018 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-745802020-02-26T09:12:41Z http://psasir.upm.edu.my/id/eprint/74580/ Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime Ahmed Amodu, Oluwatosin Raja Mahmood, Raja Azlina The improvement of sensor networks’ lifetime has been a major research challenge in recent years. This is because sensor nodes are battery powered and may be difficult to replace when deployed. Low energy adaptive clustering hierarchical (LEACH) routing protocol was proposed to prolong sensor nodes lifetime by dividing the network into clusters. In each cluster, a cluster head (CH) node receives and aggregates data from other nodes. However, CH nodes in LEACH are randomly elected which leads to a rapid loss of network energy. This energy loss occurs when the CH has a low energy level or when it is far from the BS. LEACH with two level cluster head (LEACH-TLCH) protocol deploys a secondary cluster head (2CH) to relieve the cluster head burden in these circumstances. However, in LEACH-TLCH the optimal distance of CH to base station (BS), and the choicest CH energy level for the 2CH to be deployed for achieving an optimal network lifetime was not considered. After a survey of related literature, we improved on LEACH-TLCH by investigating the conditions set to deploy the 2CH for an optimal network lifetime. Experiments were conducted to indicate how the 2CH impacts on the network at different CH energy levels and (or) CH distance to BS. This, is referred to as factor-based LEACH (FLEACH). Investigations in FLEACH show that as CHs gets farther from the BS, the use of a 2CH extends the network lifetime. Similarly, an increased lifetime also results as the CH energy decreases when the 2CH is deployed. We further propose FLEACH-E which uses a deterministic CH selection with the deployment of 2CH from the outset of network operation. Results show an improved performance over existing state-of-the-art homogeneous routing protocols. Springer 2018-07 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/74580/1/Impact%20of%20the%20energy.pdf Ahmed Amodu, Oluwatosin and Raja Mahmood, Raja Azlina (2018) Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime. Wireless Networks, 24 (5). 1379 - 1402. ISSN 1022-0038; ESSN: 1572-8196 10.1007/s11276-017-1562-6. |
| spellingShingle | Ahmed Amodu, Oluwatosin Raja Mahmood, Raja Azlina Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime |
| title | Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime |
| title_full | Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime |
| title_fullStr | Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime |
| title_full_unstemmed | Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime |
| title_short | Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime |
| title_sort | impact of the energy based and location based leach secondary cluster aggregation on wsn lifetime |
| url | http://psasir.upm.edu.my/id/eprint/74580/1/Impact%20of%20the%20energy.pdf |
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