Delay and reliability analysis of p-persistent carrier sense multiple access for multi-event industrial wireless sensor networks

Hang, Nguyen Thi Thu, Trinh, Nguyen Chien, Ban, Nguyen Tien, Raza, Mohsin ORCID: https://orcid.org/0000-0002-7351-9749 and Nguyen, Huan X. ORCID: https://orcid.org/0000-0002-4105-2558 (2020) Delay and reliability analysis of p-persistent carrier sense multiple access for multi-event industrial wireless sensor networks. IEEE Sensors Journal, 20 (20) . pp. 12402-12414. ISSN 1530-437X [Article] (doi:10.1109/JSEN.2020.3000270)

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Abstract

In industrial environments various events can concurrently occur and may require different quality of service (QoS) provision based on different priority levels. To reduce the chances of collision and to improve efficiency in multi-event occurrence, Carrier Sense Multiple Access (CSMA) is a preferable choice for Medium Access Control (MAC) protocols. However, it also increases the overall delay. In this paper, a Priority MAC protocol for Multi-Event industrial wireless sensor networks (PMME) is proposed. In PMME, use of different p values/sequences is proposed to enable multi-priority operation, which can be optimized to suit different operational classes within industrial applications including emergency, regulatory control, supervisory control, open-loop control, alerting and monitoring systems. In this work, novel mathematical model as well as simulations are presented to validate the accuracy and performance of the proposed protocol. Mathematical analysis shows that the proposed PMME can prioritize data packets effectively while ensuring ultra-reliable and low latency communications for high priority nodes. Simulations in Castalia verify that PMME with different p values/sequences notably reduces packet delay for all four priority classes. The PMME also returns a high packet success rate compared to other two well-known priority enabled MAC protocols, QoS aware energy-efficient (QAEE) and multi-priority based QoS (MPQ), in multi-event industrial wireless sensor networks.

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 30338
Notes on copyright: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Huan Nguyen
Date Deposited: 18 Jun 2020 15:32
Last Modified: 12 Oct 2020 18:13
URI: https://eprints.mdx.ac.uk/id/eprint/30338

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