Pinter, A., Soares Indrusiak, L. orcid.org/0000-0002-9938-2920 and Gray, I. (Accepted: 2025) Autonomous Collision-free Scheduling in Low-Power Wireless Sensor Networks. In: 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). 8th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 12-15 May 2025, Emden, Germany. IEEE (In Press)
Abstract
Wireless Sensor Networks (WSNs) provide a costeffective, scalable, and adaptable alternative to wired deployments, making them ideal for smart infrastructure applications. However, challenges related to Quality of Service (QoS) and reliability hinder their adoption in safety-critical use cases or industrial automation. Medium Access Control (MAC) optimisation plays a crucial role in addressing these limitations. This paper introduces the Autonomous Collision-free Protocol (ACP), a MAC scheduling mechanism designed to reduce contention and support high network throughput while ensuring energy efficiency. ACP achieves this through linear probing-based collision resolution, hashing-based autonomous scheduling enabling multi-slot allocation, and a MAC schedule cell deactivation mechanism. Simulation results indicate that ACP successfully addresses network contention, eliminating packet collisions due to schedule conflicts, and significantly improves throughput compared to existing protocols.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a proceedings paper accepted for publication in 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS), made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | wireless sensor networks, autonomous medium access control scheduling, collision-avoidance |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 May 2025 12:02 |
Last Modified: | 09 May 2025 12:02 |
Status: | In Press |
Publisher: | IEEE |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:226444 |