Research Article
Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks
@ARTICLE{10.4108/eai.11-7-2017.152764, author={Mohsin Raza and Hoa Le-Minh and Nauman Aslam and Sajjad Hussain}, title={Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks}, journal={EAI Endorsed Transactions on Energy Web}, volume={3}, number={11}, publisher={EAI}, journal_a={EW}, year={2017}, month={7}, keywords={Industrial Wireless Sensor Networks (IWSNs), scheduling algorithm, time deadline, TDMA, Wireless Sensor Network (WSN), energy efficiency, reliability, heterogeneous sensing, time scheduling,}, doi={10.4108/eai.11-7-2017.152764} }- Mohsin Raza
Hoa Le-Minh
Nauman Aslam
Sajjad Hussain
Year: 2017
Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks
EW
EAI
DOI: 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.
Copyright © 2017 Mohsin et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
