Energy‐efficient cluster‐based artificial intelligence routing for wireless sensor networks

• Published in: International journal of communication systems 2024-02, Vol.37 (3), p.n/a
• Main Authors: P, Rajendra Prasad, Ahmed, Roshan Zameer
• Format: Article
• Language: English
• Subjects: Algorithms; Artificial intelligence; cluster; Clustering; Data collection; Energy conservation; Energy consumption; energy efficiency; Network latency; routing protocol; self‐organizing map; Sensors; Wireless sensor networks
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.5658

Summary Artificial intelligence (AI)‐based wireless sensor network technology is the future of advancement for real‐time applications. With AI wireless sensor network technology, it is possible to collect data from any environment, analyze in real time, and use it to optimize processes and operations. AI wireless sensor network technology provides an unprecedented level of accuracy as well as the ability to detect even the slightest changes in a given environment. The AI‐based approach uses clustering‐based techniques with self‐organizing map (SOM) for energy conservation in resource‐constrained networks. By clustering the network, it becomes more energy efficient, as data can be shared among members of a cluster without needing to be transmitted across multiple nodes. The proposed AI cluster‐based routing approach outperforms in terms of energy consumption and computational challenges of the network. The results obtained demonstrate the proposed approach to achieve lower energy consumption than the existing algorithms while providing the same level of performance in terms of throughput and latency, as well as a comparison with traditional justification techniques. Artificial intelligence (AI)‐based wireless sensor network technology is the future of advancement for real‐time applications. The AI‐based approach uses clustering‐based techniques with self‐organizing map (SOM) for energy conservation in resource‐constrained networks. The contributions of the energy‐efficient cluster‐based AI routing for wireless sensor can be summarized as follows: I.Development of an AIC prediction‐based algorithm. II.Providing energy‐efficient routing for the network. III.AIC‐based route selection.