Smart City Gnosys
Smart city article details
| Title | An Intelligent Way For Optimal Controller Placements In Software-Defined-Iot Networks For Smart Cities |
|---|---|
| ID_Doc | 8575 |
| Authors | Keshari, SK; Kansal, V; Kumar, S |
| Year | 2021 |
| Published | COMPUTERS & INDUSTRIAL ENGINEERING, 162 |
| DOI | http://dx.doi.org/10.1016/j.cie.2021.107667 |
| Abstract | Software Defined Networks (SDNs) is modern network paradigm that separately manages the control logic-plane and hardware data-plane. The programmable network SDN centrally manages different smart devices connected in the networks. These smart devices are facilitated by Internet of Things (IoT) and collect real time data for network devices. One of the emerging applications of IoT network is Smart City which purpose is to manage the city without human interventions. The rapid growths of IoT devices like actuators and sensors in smart city are generating large amount of data and increasing the traffic in network. To maintain the quality of services (QoS) of smart city IoT networks, the SDN characteristic is one way to provide better services to network users. Traditional IoT network having the challenges like, access delays, security and reliability issues. The SDN enabled IoT networks are capable to overcome these challenges and improves the network performance. One single controller is not sufficient to manage all IoT devices in smart city networks. So, multiple controllers are required to handle Software Defined-IoT Networks (SDN-IoT). Different metaheuristic algorithms are implemented to overcome controller placements problems (CPP) but as the number of controllers increases the performance of approaches degrades due to premature conversions. To better balance the exploration and exploitation features an intelligent Hybrid Differential Evolution and Whale Optimization (DEWO) Algorithm is proposed that optimizes the controller placements in SDN-IoT enabled smart city networks. The algorithm searches the optimal locations of controllers and balance the switch loads in respect of minimum latency. The algorithm also minimizes the link failure and evaluate the minimum end to end delay. The proposed hybrid algorithm is evaluated up to 40 controllers with other state of art method and able to achieve better results in comparison with other metaheuristic algorithms. |
| Author Keywords | Controller; Software Defined Network (SDN); Software Defined-IoT Networks (SDN-IoT); IoT; CPP; Smart city; metaheuristic |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
40324  | 0.918 | Tarai S.K.; Shailendra S. | Optimal And Secure Controller Placement In Sdn Based Smart City Network | International Conference on Information Networking, 2019-January (2019) |
| 5239 | 0.888 | Memon S.A.; Andriukaitis D.; Markevicius V.; Navikas D.; Valinevicius A.; Zilys M.; Ramanauskas R.; Sotner R.; Jerabek J.; Klimenta D. | A Survey On Controller Placement Algorithms For Iot Networks In Smart City Environments | 2025 IEEE 12th Workshop on Advances in Information, Electronic and Electrical Engineering, AIEEE 2025 - Proceedings (2025) |
| 35417 | 0.887 | Babbar, H; Rani, S; Gupta, D; Aljahdali, HM; Singh, A; Al-Turjman, F | Load Balancing Algorithm On The Immense Scale Of Internet Of Things In Sdn For Smart Cities | SUSTAINABILITY, 13, 17 (2021) |
| 52158 | 0.872 | Wang S.; Gomez K.M.; Sithamparanathan K.; Zanna P. | Software Defined Network Security Framework For Iot Based Smart Home And City Applications | 2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings (2019) |
| 30726 | 0.87 | Kumar D.; Sharma C. | Improved Load Balancing For Large-Scale Smart Cities In Sdn-Iot Networks | 2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering, ICATIECE 2022 (2022) |
| 2832 | 0.869 | Alouache L.; Yassa S.; Ahfir A. | A Multi-Objective Optimization Approach For Sdvn Controllers Placement Problem | Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022 (2022) |
| 8970 | 0.866 | Zhang Z.; Wang R.; Cai X.; Jia Z. | An Sdn-Based Network Architecture For Internet Of Things | Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 (2019) |
| 33633 | 0.865 | Miladinovic I.; Schefer-Wenzl S.; Hirner H. | Iot Architecture For Smart Cities Leveraging Machine Learning And Sdn | 27th Telecommunications Forum, TELFOR 2019 (2019) |
| 52157 | 0.861 | Kamarudin I.E.; Ameedeen M.A.; Razak M.F.A.; Zabidi A. | Software Defined Internet Of Things In Smart City: A Review | Indonesian Journal of Electrical Engineering and Computer Science, 32, 2 (2023) |
| 25425 | 0.86 | Alzoman R.; Alenazi M.J.F. | Exploiting Sdn To Improve Qos Of Smart City Networks Against Link Failures | 2020 7th International Conference on Software Defined Systems, SDS 2020 (2020) |