Recharging strategies for sensors within wireless sensor networks (WSNs) have emerged as a critical concern in recent years. Prior research has investigated harnessing energy from the ambient environment. However, due to environmental volatility, the reliability of such energy sources cannot be assured. Alternative approaches have utilized mobile chargers to replenish energy-deficient sensors, but these methods tend to suffer from diminished efficiency in large-scale networks. This study proposes a cooperative recharging mechanism involving multiple chargers, named MC 3 , which aims to equalize the workloads across mobile chargers while concurrently minimizing sensors' recharging waiting time. The mechanism enables mobile chargers to adjust their recharging groups based on their current positions, and allows sensors to select the best mobile charger, thus fulfilling the dual objectives of equitable workload distribution and minimization of the recharging path. The experimental study shows that the proposed algorithm outperforms the existing algorithms in terms of the waiting time of sensors, recharging effectiveness as well as workload balance of mobile chargers.
No takes yet. Share an insight, caveat, or question.
Yu et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: