Smart City Gnosys

Smart city article details

Title	Multi-Objective Optimization Of Green Small Cell Allocation For Iot Applications In Smart City
ID_Doc	38322
Authors	Chi, HR; Radwan, A
Year	2020
Published	IEEE ACCESS, 8
DOI	http://dx.doi.org/10.1109/ACCESS.2020.2997761
Abstract	Small cells (SCs) have proven their marvelous capability, especially dealing with high density of user equipment (UE) in the configuration of Internet of Things (IoT). It is widely accepted that the SCs concept is one of the prospective solutions for 5G networks, specifically targeting IoT, to attain the high demand in the future smart city. SC deployment has attracted the attention of multiple research efforts, due to its importance and potential towards enhancing future networking for IoT. However, there is still a lack of works providing SC allocation with comprehensive optimization modeling, which provides essential infrastructural platform to SC functionalities and services (e.g. offloading). The analysis of the number and positions of SCs, towards the simultaneous optimization of both energy efficiency and data rates, is a highly required research direction. SC allocation facilitates the sustainability and reliability, to support exponentially increasing number of users, as well as yielding feasibility of achieving high traffic demand and low latency performance, in addition to longer sustainability based on enhanced energy efficiency. In this paper, a smart small cell allocation scheme is proposed for IoT in smart city. Integer programming multi-objective optimization problem is formulated, and a new algorithm, based on the fusion of Branch-and-Bound (BnB) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II), is developed. Energy efficiency optimization and data rate maximization are formulated, as mutual objectives to fulfill the key demands of IoT in smart city, based on the estimation of users' behaviors. Simulations are conducted, whose results show that the proposed Smart-SC allocation outperforms the different considered benchmarks, resulting in higher offered data rates, while achieving better energy efficiency.
Author Keywords	Small cell allocation; energy efficiency; multi-objective optimization; smart city

Similar Articles

Id	Similarity	Authors	Title	Published
7675	0.861	Sahoo S.; Sahoo K.S.; Sahoo B.; Gandomi A.H.	An Auction Based Edge Resource Allocation Mechanism For Iot-Enabled Smart Cities	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (2020)
2513	0.861	Montoya G.A.; Lozano-Garzón C.; Paternina-Arboleda C.; Donoso Y.	A Mathematical Optimization Approach For Prioritized Services In Iot Networks For Energy-Constrained Smart Cities	International Journal of Computers, Communications and Control, 20, 1 (2025)
40897	0.859	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)
60689	0.856	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)
58164	0.856	He P.; Almasifar N.; Mehbodniya A.; Javaheri D.; Webber J.L.	Towards Green Smart Cities Using Internet Of Things And Optimization Algorithms: A Systematic And Bibliometric Review	Sustainable Computing: Informatics and Systems, 36 (2022)
29726	0.854	Ferreira F.H.; Barros F.J.B.; de Alcântara Neto M.C.; Cardoso E.; Francês C.R.L.; Araújo J.	Hybrid Computational And Real Data-Based Positioning Of Small Cells In 5G Networks	PeerJ Computer Science, 9 (2023)
23959	0.852	Alkhaldi T.M.; Darem A.A.; Alhashmi A.A.; Al-Hadhrami T.; Osman A.E.	Enhancing Smart City Iot Communication: A Two-Layer Noma-Based Network With Caching Mechanisms And Optimized Resource Allocation	Computer Networks, 255 (2024)