Sama, Najm Us and Kartinah, Binti Zen and Atiq, Ur Rahman and Baseerat, Bibi (2019) Routing Hole Mitigation by Edge based Multi-Hop Cluster-based Routing Protocol in Wireless Sensor Network. International Journal of Computer Science and Network Security, 19 (1). pp. 253-260. ISSN 1738-7906
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Abstract
In Wireless sensor network (WSNs) due to the harsh environments the degradation of energy is major issue. For addressing this issue, clustering techniques equalize energy utilization by distributing the workload among different clusters but energy-unaware path selection in multi-hop clustering technique leads to routing hole problem. To reduce the routing hole problem in WSNs, an energy-efficient least-edge computation (ELEC) cluster-based algorithm is proposed, which consider the value of edge count, link cost and energy level in selecting the next hope neighbor in data transmission. Results of our simulation reveal that ELEC achieves nearly double network lifetime by equal energy consumption in various parts of the network in addition just 5% energy left unused, as compared to existing routing strategies such as LEACH, GRACE, and AODV-EHA. Furthermore the percentage of node failure is half of the other existing routing strategies and 60% of packet drop noticeable decrease is noticed in ELEC as compared to GRACE, LEACH, and AODV-EHA.
| Item Type: | Article |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Wireless sensor network; Multi-hop clustering; routing hole problem; Energy-efficient clustering protocol, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak. |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Gani |
| Date Deposited: | 11 Jul 2019 02:40 |
| Last Modified: | 29 Sep 2022 02:29 |
| URI: | http://ir.unimas.my/id/eprint/25765 |
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