A Fuzzy Logic-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks with Several Chargers

Abstract

The adoption of “Wireless Rechargeable Sensor Networks” (WRSNs) has been substantially aided by mobile chargers. The majority of current research has been on charging the WRSNs on-demand, but few concentrations has made to jointly taking into account “Multiple Mobile Chargers” (MCs) and multi-node energy transfer to decide when to charge energy-hungry nodes. Additionally, the majority of scheduling plans fail to take into account a variety of network characteristics while making decisions, and ignore the problem of charging nodes with unequal energy consumption rates at the wrong time. This work addresses the aforementioned concerns together in this study and provide a unique scheduling strategy for on-demand charging in WRSNs. To distribute the MCs and evenly distribute their burden across the network, first introduce an effective network partitioning approach. This work uses fuzzy logic to combine different network parameters to determine the MCs' charge schedule. In addition, an equation is developed in this study to determine the charging threshold for nodes with variable rates of energy consumption. Numerous simulations are run to demonstrate the usefulness and efficiency of our method. According to several performance criteria such as average charging latency, survival rate, moving speed time, saturation time, simulation time and energy use efficiency. The proposed Determination of Charging Schedule Request using Fuzzy Logic (DCSR-FL) algorithm has achieve 34%, 98%, 97%, 0.12% and 0.29 (hours) average charging latency, survival rate, energy, saturation rate, and moving speed respectively.  The comparative findings show that the suggested scheme outperforms as 0.34 (hour) state-of-the-art methods in terms of charging performance. The suggested method performs better than uneven cluster-based mobile charging (UCMC) and on-demand multi-node charging based on traveling salesman problem (OMC_TSP).