International Journal of Science, Engineering and TechnologyAuthors: Isha Vyas, Professor Amit Thakur
Abstract: Wireless Sensor Networks (WSNs) are widely used for data collection and monitoring in large-scale environments, where efficient routing is essential to ensure energy conservation, reliability, and extended network lifetime. Traditional multihop routing approaches often face challenges such as uneven energy consumption, high latency, and reduced scalability. In this context, a K-Nearest Neighbors (KNN) based multihop routing strategy is analyzed to improve network performance. The KNN algorithm dynamically selects the most suitable forwarding nodes based on proximity, residual energy, and network topology, thereby balancing the load across the network. Simulation results highlight that the KNN-based routing scheme enhances packet delivery ratio, reduces average communication delay, and minimizes energy consumption compared to conventional protocols. The analysis confirms that KNN-driven multihop routing is a promising approach for optimizing data transmission in WSNs, particularly in dense and energy-constrained environments.
DOI: http://doi.org/10.5281/zenodo.16925532
