Research Article
A decentralized scheduling algorithm for time synchronized channel hopping
@ARTICLE{10.4108/icst.trans.mca.2011.e5, author={Andrew Tinka and Thomas Watteyne and Kristofer S. J. Pister and Alexandre M. Bayen}, title={A decentralized scheduling algorithm for time synchronized channel hopping}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={1}, number={1}, publisher={ICST}, journal_a={MCA}, year={2011}, month={9}, keywords={decentralized scheduling, mobile ad hoc networks, simulation, time synchronized channel hopping}, doi={10.4108/icst.trans.mca.2011.e5} }
- Andrew Tinka
Thomas Watteyne
Kristofer S. J. Pister
Alexandre M. Bayen
Year: 2011
A decentralized scheduling algorithm for time synchronized channel hopping
MCA
ICST
DOI: 10.4108/icst.trans.mca.2011.e5
Abstract
Time Synchronized Channel Hopping (TSCH) is an existing Medium Access Control scheme which enables robust communication through channel hopping and high data rates through synchronization. It is based on a time-slotted architecture, and its correct functioning depends on a schedule which is typically computed by a central node. This paper presents, to our knowledge, the first scheduling algorithm for TSCH networks which both is distributed and which copes with mobile nodes. Two variations on scheduling algorithms are presented. Aloha-based scheduling allocates one channel for broadcasting advertisements for new neighbors. Reservation- based scheduling augments Aloha-based scheduling with a dedicated timeslot for targeted advertisements based on gossip information. A mobile ad hoc motorized sensor network with frequent connectivity changes is studied, and the performance of the two proposed algorithms is assessed. This performance analysis uses both simulation results and the results of a field deployment of floating wireless sensors in an estuarial canal environment. Reservation-based scheduling performs significantly better than Aloha-based scheduling, suggesting that the improved network reactivity is worth the increased algorithmic complexity and resource consumption.
Copyright © 2011 Tinka et al., licensed to ICST. 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.