In the realm of Wireless Sensor Networks (WSN s), the quest for efficient routing algorithms that optimize energy consumption and adapt to dynamic network conditions is paramount. This paper introduces a novel routing algorithm, Energy-Aware Adaptive Dijkstra (EAAD), designed to address these challenges. EAAD leverages the principles of Dijkstra's algorithm while incorporating energy-awareness and adaptability to mobility. The algorithm computes energy-efficient paths from source nodes to sinks, taking into account the node's energy levels and the distance involved. Moreover, EAAD accommodates mobility-induced changes by dynamically recalculating routes. In a simulation-based evaluation, EAAD demonstrated superior performance in terms of energy conservation and adaptability, resulting in a higher number of alive nodes and enhanced throughput. EAAD offers a promising solution for optimizing routing in WSN s, contributing to prolonged network lifetime and robustness in dynamic environments. Its potential extends to diverse applications where energy-efficient routing is vital.
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Regilan et al. (2024) studied this question.
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