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@article{171911,
        author = {Tarun K Y and Mrs. Shobha Chandra K and Sushmitha L K and Varshini M and Suchitha K K},
        title = {Energy-Efficient Optimization in Wireless Sensor Networks Using Artificial Bee Colony Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1295-1300},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171911},
        abstract = {Wireless Sensor Networks (WSNs) face obstacles in energy efficiency, coverage optimization, and data collection reliability due to resource limitations. This study deploys Artificial Bee Colony (ABC) algorithms to improve network performance. The proposed approaches include clustering models for balanced energy consumption, routing algorithms for optimized data transmission, and scalable approaches to improve network coverage. By addressing difficulties such as cluster head selection, wireless node path optimization, and data latency, the algorithms significantly extend network lifetime, enhance data collection efficiency, and achieve superior coverage rates. Simulation results demonstrate the performance of ABC-based methods compared to traditional optimization algorithms},
        keywords = {Artificial Bee Colony, ABC, Optimization},
        month = {January},
        }