Article

Towards improved clustering and routing protocol for wireless sensor networks

Details

Citation

Alharbi MA, Kolberg M & Zeeshan M (2021) Towards improved clustering and routing protocol for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 2021 (1), Art. No.: 46. https://doi.org/10.1186/s13638-021-01911-9

Abstract
Wireless sensor network (WSN)-based Internet of Things (IoT) applications suffer from issues including limited battery capacity, frequent disconnections due to multi-hop communication and a shorter transmission range. Clustering and routing are treated separately in different solutions and, therefore, efficient solutions in terms of energy consumption and network lifetime could not be provided. This work focuses data collection from IoT-nodes distributed in an area and connected through WSN. We address two interlinked issues, clustering and routing, for large-scale IoT-based WSN and propose an improved clustering and routing protocol to jointly solve both of these issues. Improved clustering and routing provide area-based clustering derived from the transmission range of network nodes. During process of clustering, cluster-heads are selected in such a way that provide fail-over-proof routing. An efficient routing path is achieved by finding the minimal hop-count with the availability of alternate routing paths. The results are compared with state-of-the-art benchmark protocols. Theoretical and simulation results demonstrate reliable network topology, improved network lifetime, efficient node density management and improved overall network capacity.

Keywords
Signal Processing; Computer Networks and Communications; Computer Science Applications

Journal
EURASIP Journal on Wireless Communications and Networking: Volume 2021, Issue 1

StatusPublished
Publication date31/12/2021
Publication date online06/03/2021
Date accepted by journal26/01/2021
URLhttp://hdl.handle.net/1893/32475
PublisherSpringer Science and Business Media LLC
ISSN1687-1472
eISSN1687-1499

People (1)

People

Dr Mario Kolberg

Dr Mario Kolberg

Senior Lecturer, Computing Science