Deterministic scheduling for energy efficient and reliable communication in heterogeneous sensing environments in industrial Wireless Sensor Networks

Raza, Mohsin, Le-Minh, Hoa, Aslam, Nauman and Hussain, Sajjad (2017) Deterministic scheduling for energy efficient and reliable communication in heterogeneous sensing environments in industrial Wireless Sensor Networks. EAI Endorsed Transactions on Energy Web, 17 (11). ISSN 2032-944X

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Abstract

The present-day industries incorporate many applications, and complex processes, hence, a large number of sensors with dissimilar process deadlines and sensor update frequencies will be in place. This paper presents a scheduling algorithm, which takes into account the varying deadlines of the sensors connected to the cluster-head, and formulates a static schedule for Time Division Multiple Access (TDMA) based communication. The scheme uses IEEE802.15.4e superframe as a baseline and proposes a new superframe structure. For evaluation purposes the update frequencies of different industrial processes are considered. The scheduling algorithm is evaluated under varying network loads by increasing the number of nodes affiliated to a cluster-head. The static schedule generated by the scheduling algorithm offers reduced energy consumption, improved reliability, efficient network load management and improved information to control bits ratio.

Item Type: Article
Additional Information: Publisher Copyright: © 2017 Mohsin et al.
Uncontrolled Keywords: energy efficiency,heterogeneous sensing,industrial wireless sensor networks (iwsns),reliability,scheduling algorithm,tdma,time deadline,time scheduling,wireless sensor network (wsn),control and systems engineering,information systems,renewable energy, sustainability and the environment,energy engineering and power technology,sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/2200/2207
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 16 Jun 2025 10:30
Last Modified: 23 Jun 2025 00:29
URI: https://ueaeprints.uea.ac.uk/id/eprint/99527
DOI: 10.4108/eai.11-7-2017.152764

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