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Wireless Personal Communications
Published in: Wireless Personal Communications 1/2022

28-09-2021

Real Time Scheduling in TSCH for IoT Using Neurogenetic Algorithm

Authors: L. Pavithra, D. Rekha

Published in: Wireless Personal Communications | Issue 1/2022

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Abstract

Internet of Things (IoT) is a widely adoptable technology in industrial, smart home, smart grid, smart city and smart healthcare applications. The real world objects are remotely connected through internet and it provides services with the help of friendly devices. Currently IEEE 802.15.4e Time Slotted Channel Hopping (TSCH) standard is gaining a part of consideration among the IoT research community because of its effectiveness to improvise the reliability of communication which is orchestrated by the scheduling. As TSCH is an emerging Medium Access Control (MAC) protocol, it is used in the proposed work to enhance the network scheduling by throughput maximization and delay minimization. The paper focuses on proper utilization of the channel through node scheduling. NeuroGenetic Algorithm (NGA) has been proposed for TSCH scheduling and its performance is evaluated with respect to time delay and throughput. The system is implemented in real time IoT devices and results are perceived and analyzed. The proposed algorithm is compared with existing TSCH scheduling algorithms.
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Metadata
Title
Real Time Scheduling in TSCH for IoT Using Neurogenetic Algorithm
Authors
L. Pavithra
D. Rekha
Publication date
28-09-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2022
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-09148-x

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