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@article{183771,
        author = {Neeraj R and Dr. Vinay Hegde},
        title = {Optimized grid-based energy-conserving routing in IoT driven Wireless sensor networks.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3397-3400},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183771},
        abstract = {The convergence of Wireless Sensor Networks (WSNs) with the Internet of Things (IoT) has enabled advancements in smart agriculture, healthcare automation, and environmental intelligence. However, energy constraints in sensor nodes continue to be a major bottleneck. To mitigate this, the Energy-Efficient Grid Technique (EEGT) is introduced, wherein the sensing field is segmented into uniform grids. Each grid independently elects a Cluster Head by evaluating factors such as battery power and proximity to the sink. Kruskal’s algorithm is employed for intra-grid routing via a MST, while inter-grid communication is handled using Ant Colony Optimization (ACO) for route efficiency. Simulation studies show that EEGT significantly enhances life of network and outperforms other protocols regarding energy performance.},
        keywords = {Internet of Things, Wireless Sensor Networks, Energy Optimization, Cluster Routing, Grid Partitioning, Data Aggregation},
        month = {August},
        }