Skip to main content

Research Repository

Advanced Search

Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies

Heron, John W.; Jiang, Jing; Sun, Hongjian; Gezerlis, Velissarios; Doukoglou, Tilemachos

Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies Thumbnail


John W. Heron

Jing Jiang

Velissarios Gezerlis

Tilemachos Doukoglou


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.


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.

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


Accepted Journal Article (2.3 Mb)

Copyright Statement
This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see

You might also like

Downloadable Citations