Smart City Gnosys

Smart city article details

Title	Machine Learning Based Routing Protocol (Mlbrp) For Mobile Internet Of Things Networks
ID_Doc	35943
Authors	Larouci N.E.H.; Sahraoui S.; Djeffal A.
Year	2025
Published	Journal of Network and Systems Management, 33, 3
DOI	http://dx.doi.org/10.1007/s10922-025-09949-6
Abstract	Efficient packet routing is essential to manage the vast data generated by Internet of Things (IoT) devices, which can strain network performance. Traditional Mobile Ad hoc Network (MANET) routing protocols rely on neighbour information for network views but discard routing history after packet delivery, limiting their efficiency. This research introduces a Machine Learning (ML)-based routing approach that leverages historical routing decisions to train predictive models, enabling nodes to make intelligent routing choices. We evaluate Decision Trees (DT), Support Vector Machines (SVM), and Artificial Neural Networks (ANN) as alternatives to conventional routing protocols, such as Ad hoc On-demand Distance Vector (AODV). Simulation results in an IoT-connected smart city scenario show that our approach reduces control message overhead by up to 73%, improving network efficiency by optimizing load distribution, energy consumption, and packet delay. These results demonstrate the potential of ML-driven routing to significantly extend the operational lifetime of IoT networks compared to traditional methods. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
Author Keywords	Internet of Things; Machine learning; Routing optimization; Smart city

Similar Articles

Id	Similarity	Authors	Title	Published
56147	0.882	Singh R.; Maheswari K.; Sridevi G.; Pant R.; Alzubaidi L.H.; Shetty M.	The Novel Use Of Ai And Ml System Integration In Developing Spruce Metropolis	2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024 (2024)
975	0.88	Khan M.A.A.; Kaidi H.M.	A Comprehensive Survey Of Machine Learning Techniques In Next-Generation Wireless Networks And The Internet Of Things	Ingenierie des Systemes d'Information, 28, 4 (2023)
36002	0.873	Sharma H.; Haque A.; Blaabjerg F.	Machine Learning In Wireless Sensor Networks For Smart Cities: A Survey	Electronics (Switzerland), 10, 9 (2021)
9026	0.872	Ahmer M.; Sajid A.; Bin Anwar M.H.; Verma T.; Khare P.; Shafeeq M.	Analysing Neural Network Techniques For Efficient Routing In Wireless Sensor Networks	2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences, IC3TES 2024 (2024)
15004	0.868	Bellani S.; Yadav M.	Comparative Analysis Of Neural Network-Based Routing Algorithms For Wireless Sensor Networks	IEEE International Conference on Signal Processing and Advance Research in Computing, SPARC 2024 (2024)
35982	0.867	Alsamhi S.H.; Almalki F.A.; Al-Dois H.; Ben Othman S.; Hassan J.; Hawbani A.; Sahal R.; Lee B.; Saleh H.	Machine Learning For Smart Environments In B5G Networks: Connectivity And Qos	Computational Intelligence and Neuroscience, 2021 (2021)
60588	0.867	Aboubakar M.; Kellil M.; Bouabdallah A.; Roux P.	Using Machine Learning To Estimate The Optimal Transmission Range For Rpl Networks	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020 (2020)
28309	0.861	Cárdenas L.L.; León J.P.A.; Mezher A.M.	Gratree: A Gradient Boosting Decision Tree Based Multimetric Routing Protocol For Vehicular Ad Hoc Networks	Ad Hoc Networks, 137 (2022)
46417	0.856	Zormati M.A.; Lakhlef H.; Ouni S.	Review And Analysis Of Recent Advances In Intelligent Network Softwarization For The Internet Of Things	Computer Networks, 241 (2024)
36078	0.856	Biswas D.; Tiwari A.	Machine Learning-Enhanced Wireless Communication Protocols For Ultra-Reliable And Low-Latency Applications In Smart Cities	2025 International Conference on Automation and Computation, AUTOCOM 2025 (2025)