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, 3 (11). p. 152764. ISSN 2032-944X

[img]
Preview
Text
eai.11-7-2017.152764.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
Official URL: https://doi.org/10.4108/eai.11-7-2017.152764

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
Uncontrolled Keywords: Industrial Wireless Sensor Networks (IWSNs), scheduling algorithm, time deadline, TDMA, Wireless Sensor Network (WSN), energy efficiency, reliability, heterogeneous sensing, time scheduling
Subjects: G400 Computer Science
H900 Others in Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 16 Mar 2018 12:54
Last Modified: 01 Aug 2021 12:34
URI: http://nrl.northumbria.ac.uk/id/eprint/33773

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics