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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 10 (October 2026) | Submission Deadline: October 26, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-0859

Mobile Sink based Low Energy Adaptive Clustering Hierarchy Routing Algorithm in Wireless Sensor Networks

Author(s):Manvir Singh Gill, Gursewak Singh Brar
Institution:Electrical Department, BBSBEC, Fatehgarh Sahib
Published In:Vol. 3, Issue 1 — January 2016
Page No.:49-57
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Wireless Sensors Network consists of small electro-mechanical devices called sensor nodes which are capable of sensing, computing and communicating data packets from harsh physical environments like a battle field. These sensor nodes consist of batteries for energy, which get discharged at a faster rate because of the operations like computation and communication they have to perform. Mainly routing protocols are designed for efficient utilization of energy resources. However, sensor networks with one fixed sink nodeoften suffer from a hot spots problem since nodes near sinks have more traffic burden to forward during a multi-hop transmission process. The use of mobile sinks has been shown to be an effective technique to enhance network performance features such as latency, energy efficiency, network lifetime, etc. In this paper, a modified Low Energy Adaptive Clustering Hierarchy (LEACH), which employs a mobile sink, has been proposed for WSNs with non-uniform node distribution. The decision of selecting cluster heads by the sink is based on the minimization of the associated additional energy and residual energy at each node. Simulation results demonstrate that our algorithm has better performance than traditional routing algorithms, such as LEACH.

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🕮 How to Cite

Manvir Singh Gill, Gursewak Singh Brar, “Mobile Sink based Low Energy Adaptive Clustering Hierarchy Routing Algorithm in Wireless Sensor Networks”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 1, pp. 49-57, January 2016.

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Vol. 13 | Issue 10
October-2026