Smart City Gnosys

Smart city article details

Title	Efficient Shortest-Path Tree Construction Based On Graph Convolutional Networks
ID_Doc	22412
Authors	Park J.; Kang S.; Vo V.-V.; Choo H.
Year	2024
Published	Proceedings of the 2024 18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024
DOI	http://dx.doi.org/10.1109/IMCOM60618.2024.10418335
Abstract	In the rapidly evolving landscapes of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), the integration of deep learning techniques into routing structures is emerging as a significant advancement. WSNs and IoT systems are pivotal in real-time monitoring and control across various sectors, including environmental monitoring, industrial automation, healthcare, smart cities, and more. These networks rely heavily on efficient data collection and seamless data exchange, facilitated by interconnected nodes and diverse devices. Traditional heuristic-based routing protocols in these networks have focused on optimizing energy consumption, reducing latency, ensuring reliable communication, and maintaining scalability. However, their limited adaptability to dynamic network conditions presents a challenge. The incorporation of deep learning into routing structures offers a solution. By learning and adjusting autonomously in response to changing conditions, deep learning-based routing can dynamically optimize decision-making. This leads to enhanced adaptability, efficiency, and performance, particularly in complex network environments. We propose a paradigm shift from heuristic to deep learning-driven routing structures, emphasizing the potential for improved network management and operational longevity in WSNs and IoT ecosystems. © 2024 IEEE.
Author Keywords	Dijkstra's algorithm; graph convolutional networks; Graph neural networks; routing structure; wireless sensor networks

Similar Articles

Id	Similarity	Authors	Title	Published
15004	0.885	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)
9026	0.876	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)
38481	0.872	Padmini M.S.; Kuzhalvaimozhi S.	Multiagent Heuristic And Knowledge-Driven Routing Optimization Model For Internet Of Things Applications	International Journal of Communication Systems, 38, 10 (2025)
23355	0.867	Poongodi T.; Sharma R.K.	Energy Optimized Route Selection In Wsns For Smart Iot Applications	2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023 (2023)
1387	0.862	Ojha A.; Chaudhari S.M.; Chanak P.	A Deep Policy Dynamic Programming Based Intelligent Data Routing Scheme For Iot-Enabled Wireless Sensor Networks	IEEE Transactions on Sustainable Computing, 10, 3 (2025)
46607	0.861	Salama R.; Alturjman S.; Altrjman C.; Al-Turjman F.	Reward-Based Energy-Aware Routing Protocols In Wireless Sensor Networks	Sustainable Civil Infrastructures (2024)
32139	0.86	Elhanashi A.; Dini P.; Saponara S.; Zheng Q.	Integration Of Deep Learning Into The Iot: A Survey Of Techniques And Challenges For Real-World Applications	Electronics (Switzerland), 12, 24 (2023)
4281	0.857	Osamy W.; Khedr A.M.; Salim A.; Al Ali A.I.; El-Sawy A.A.	A Review On Recent Studies Utilizing Artificial Intelligence Methods For Solving Routing Challenges In Wireless Sensor Networks	PeerJ Computer Science, 8 (2022)
29801	0.855	Siddiq A.; Ghazwani Y.J.	Hybrid Optimized Deep Neural Network-Based Intrusion Node Detection And Modified Energy Efficient Centralized Clustering Routing Protocol For Wireless Sensor Network	IEEE Transactions on Consumer Electronics, 70, 3 (2024)
989	0.855	Saradha K.R.; Sakthy S.S.	A Comprehensive Survey On Energy-Efficient Wireless Sensor Network Protocols For Real-Time Applications	2025 International Conference on Computing and Communication Technologies, ICCCT 2025 (2025)