Hybrid Method Neighbor Node Discovery in Wireless Sensor Networks: A Framework

Authors

Sagar Mekala, Department of Computer Science and Engineering, CVR College of Engineering, Telangana 501510, IndiaFollow
Shahu Chatrapati Kaila, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, Telangana 500072, India
Jyothi Rani Matang, Department of Computer Science and Engineering, Mahatma Gandhi University, Telangana 508001, India

Abstract

Wireless devices are now being adapted for diverse purposes, such as healthcare, agriculture, transportation, and tactical operations, which present challenges in network formation owing to high device mobility. Current methods rely on discovery techniques for forming wireless sensor networks (WSNs); however, the existing research has been criticized for its high time complexity and redundant neighbor discovery process. In this study, we provide a hybrid strategy to effectively handle the difficulties of locating neighboring nodes in WSNs. Our method combines several strategies to produce precise and effective neighbor detection. Herein, shared memory–based discovery, a beacon technique, and range and distance overlap detection comprise three main phases of the hybrid approach. This approach improves time complexity by ~50% and reduces redundant node discovery by nearly 30%.

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Recommended Citation

Mekala, Sagar; Kaila, Shahu Chatrapati; and Matang, Jyothi Rani (2024) "Hybrid Method Neighbor Node Discovery in Wireless Sensor Networks: A Framework," Makara Journal of Technology: Vol. 28: Iss. 1, Article 5.
DOI: 10.7454/mst.v28i1.1620
Available at: https://scholarhub.ui.ac.id/mjt/vol28/iss1/5