John W. Heron
Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies
Heron, John W.; Jiang, Jing; Sun, Hongjian; Gezerlis, Velissarios; Doukoglou, Tilemachos
Authors
Jing Jiang
Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor
Velissarios Gezerlis
Tilemachos Doukoglou
Abstract
Smart grids are the next generation of power distribution network, using information and communications technologies to increase overall energy efficiency and service quality of the power grid. One big challenge in building a smart grid is the fast growing amount of smart devices and how to meet the associated load on the backbone communication infrastructure. This paper designs an Internet-of-Things (IoT) Smart Grid testbed simulator and uses it to provide crucial insight into the communication network optimisation. Simulation for a large number of smart devices under various heterogenous network topologies is used to analyse the maximum number of clients that can be supported for a given demand-response latency requirement. Consideration is given to simulator processing time in the final delay calculation, which also includes all protocol overheads, retransmissions and traffic congestion. For a specific three-tier topology, given a round-trip latency requirement, investigations are carried out on the number of smart devices that a local hub can support, and with a fixed number of smart devices, the number of local hubs that a central server can support.
Citation
Heron, J. W., Jiang, J., Sun, H., Gezerlis, V., & Doukoglou, T. (2018). Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies. IEEE Access, 6, 22930-22937. https://doi.org/10.1109/access.2018.2831254
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 11, 2018 |
Online Publication Date | Apr 30, 2018 |
Publication Date | May 16, 2018 |
Deposit Date | Apr 11, 2018 |
Publicly Available Date | Apr 13, 2018 |
Journal | IEEE Access |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Pages | 22930-22937 |
DOI | https://doi.org/10.1109/access.2018.2831254 |
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Copyright Statement
This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Published Journal Article
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Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
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