Smart City Gnosys

Smart city article details

Title	Energy-Efficient Hybrid Clustering Protocol For Wsn-Based Smart City On 5G Infrastructure
ID_Doc	23486
Authors	Gong Y.; Li W.; Liang H.; Wang J.; Ping S.
Year	2025
Published	IEEE Transactions on Green Communications and Networking
DOI	http://dx.doi.org/10.1109/TGCN.2025.3577935
Abstract	Nowadays, clustering protocols have become the most popular technique to save energy consumption in WSN-based smart cities. However, to balance the energy load between cluster heads and other nodes in such protocols, global re-clustering has to be performed periodically, which incurs excessive energy consumption. In this paper, we propose an Energy-Efficient Hybrid Clustering (EEHC) protocol to enhance the energy efficiency of WSNs. In the proposed protocol, the whole network is divided into logically segregated sub-networks with the help of 5G base stations. In each sub-network, the nodes with close physical locations form a cluster, and the unique base station maintains the status information of the clusters with low-cost residual energy prediction algorithm. During each sub-network operation, the base station balances residual energy of clusters with the help of inter-cluster node reassigning algorithm, while the intracluster cluster head rotation mechanism ensures the nodes in each cluster have the same energy level. Based on the above two schemes, the residual energy of nodes in the network can be well balanced. Each base station also calculates optimal intercluster routes for all clusters in the local sub-network to avoid the high energy consumption for distributed inter-cluster routing discovery. Simulation results demonstrate that our EEHC protocol outperforms the latest clustering protocols in terms of energy efficiency, quality of service, and scalability. © 2017 IEEE.
Author Keywords	energy efficiency; global re-clustering; residual energy prediction; Wireless sensor network

Similar Articles

Id	Similarity	Authors	Title	Published
31134	0.903	Venkatesan V.K.; Izonin I.; Periyasamy J.; Indirajithu A.; Batyuk A.; Ramakrishna M.T.	Incorporation Of Energy Efficient Computational Strategies For Clustering And Routing In Heterogeneous Networks Of Smart City	Energies, 15, 20 (2022)
18992	0.885	Osamy W.; Khedr A.M.; Salim A.	Design Workload Aware Data Collection Technique For Iot-Enabled Wsns In Sustainable Smart Cities	IEEE Transactions on Sustainable Computing, 10, 2 (2025)
3423	0.884	Darabkh K.A.; Al-Akhras M.	A Novel Load-Driven Location-And Power-Aware Eo-Based Iot-Wsn Clustering And Routing Protocol For Sustainable Smart Cities	IEEE Internet of Things Journal (2025)
40804	0.881	Sunil G.; Tuteja G.; Nasra P.; Abbas H.M.	Optimizing Energy-Efficient Clustering Algorithms For Prolonged Lifetime In Wsn-Iot Deployments	2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025 (2025)
49667	0.879	Darabkh K.A.; Al-Akhras M.	Smart Cities Optimization Using Computational Intelligence In Power-Constrained Iot Sensor Networks	Swarm and Evolutionary Computation, 94 (2025)
29744	0.877	Aleem A.; Thumma R.	Hybrid Energy-Efficient Clustering With Reinforcement Learning For Iot-Wsns Using Knapsack And K-Means	IEEE Sensors Journal (2025)
23793	0.875	Elmonser M.; Alaerjan A.; Jabeur R.; Chikha H.B.; Attia R.	Enhancing Energy Distribution Through Dynamic Multi-Hop For Heterogeneous Wsns Dedicated To Iot-Enabled Smart Grids	Scientific Reports, 14, 1 (2024)
8298	0.875	Wang X.; Peng Y.; Huang L.	An Improved Unequal Cluster-Based Routing Protocol For Energy Efficient Wireless Sensor Networks	Proceedings - 2019 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2019 (2019)
913	0.875	Nedham W.B.; Al-Qurabat A.K.M.	A Comprehensive Review Of Clustering Approaches For Energy Efficiency In Wireless Sensor Networks	International Journal of Computer Applications in Technology, 72, 2 (2023)
28645	0.875	Singh S.; Nikolovski S.; Chakrabarti P.	Gwlbc: Gray Wolf Optimization Based Load Balanced Clustering For Sustainable Wsns In Smart City Environment	Sensors, 22, 19 (2022)