Smart City Gnosys

Smart city article details

Title	An Auction Based Edge Resource Allocation Mechanism For Iot-Enabled Smart Cities
ID_Doc	7675
Authors	Sahoo S.; Sahoo K.S.; Sahoo B.; Gandomi A.H.
Year	2020
Published	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
DOI	http://dx.doi.org/10.1109/SSCI47803.2020.9308159
Abstract	A new era of smart applications like smart home, smart transportation, the smart building begins with the development of the Internet of Things (IoT) technology. These applications collectively form an IoT enabled smart city. The presence of the centralized cloud in IoT enabled smart city causes a high end to end delay and enormous transmission pressure on the communication network. Edge computing is an extension of cloud computing infrastructure that pushes the computing storage and network resource similar to the cloud near the data source, i.e., IoT device. The major concern in the edge computing environment to execute tasks generated by IoT devices is optimal energy consumption while satisfying the delay constraint. In this paper, a multi-objective optimization problem in IoT enabled smart city is formulated as an energy and delay minimization problem. At first, a three-layer network architecture for IoT enabled smart cities is presented. After that, we design an auction-based edge resource allocation scheme considering the proposed network architecture, to provide low computing delay with energy-efficient service for delay-sensitive tasks. The simulation results indicate that the proposed approach performs better compared to some existing approaches.
Author Keywords	Auction; Edge Computing; IoT; Resource Allocation; Smart City

Similar Articles

Id	Similarity	Authors	Title	Published
20630	0.958	Mahmood O.A.; Abdellah A.R.; Muthanna A.; Koucheryavy A.	Distributed Edge Computing For Resource Allocation In Smart Cities Based On The Iot	Information (Switzerland), 13, 7 (2022)
2802	0.918	Liu Z.R.	A Multi-Joint Optimisation Method For Distributed Edge Computing Resources In Iot-Based Smart Cities	Journal of Grid Computing, 21, 4 (2023)
2288	0.91	Sahoo S.; Sahoo K.S.; Sahoo B.; Gandomi A.H.	A Learning Automata Based Edge Resource Allocation Approach For Iot-Enabled Smart Cities	Digital Communications and Networks, 10, 5 (2024)
5222	0.892	Kumar D.; Baranwal G.; Vidyarthi D.P.	A Survey On Auction Based Approaches For Resource Allocation And Pricing In Emerging Edge Technologies	Journal of Grid Computing, 20, 1 (2022)
52082	0.885	Ranjbaran S.; Jafari A.R.; Crespi N.	Socially Aware Multi-Resource Trading For Iot Applications In Smart Cities Using Auction Theory	Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 (2023)
8870	0.884	de Queiroz T.A.; Canali C.; Iori M.; Lancellotti R.	An Optimization View To The Design Of Edge Computing Infrastructures For Iot Applications	Internet of Things (2022)
24947	0.879	Wang J.; Zuckerman S.; del Castillo J.A.L.	Evaluation Of Multi-Armed Bandit Algorithms For Efficient Resource Allocation In Edge Platforms	Lecture Notes in Computer Science, 15386 LNCS (2025)
40897	0.878	Alhaizaey Y.; Singer J.; Michala A.L.	Optimizing Task Allocation For Edge Micro-Clusters In Smart Cities	Proceedings - 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2021 (2021)
27955	0.874	Chen Y.; Ding Y.; Hu Z.-Z.; Ren Z.	Geometrized Task Scheduling And Adaptive Resource Allocation For Large-Scale Edge Computing In Smart Cities	IEEE Internet of Things Journal (2025)
60689	0.874	Ning W.; Chen X.; Jiao L.; Wang Y.	Utility Maximization Based Trade-Off Policy For Mec-Enabled Nb-Iot Networks In Smart Cities	Proceedings - 2023 IEEE International Conference on Smart Internet of Things, SmartIoT 2023 (2023)