Periodic Charging Strategy Of WRSN While The Energy Of WCE Is Limited And The Power Consumption Of The Node Is Unbalanced

Wireless Rechargeable Sensors Networks(WRSN)has emerged as a new research hotspot in recent years and many important research results have emerged.However,the researches on periodic charging strategy of WRSN considering the energy limited of wireless charging equipment(WCE)and the power consumption unbalanced of the sensor nodes are less conducted.Two-dimensional Wireless Rechargeable Sensor Networks is investigated in this thesis.First of all,the WRSN model with unbalanced power consumption of the nodes,in the case,it is not feasible to get the periodic charging path and charging planning of WCE with the existing periodic charging strategy.This thesis proposes that one node can be charged for many times in a recharging cycle,and the corresponding reconstruction strategy of charging path and charging strategy of nodes are put forward in the modified periodic charging strategy.The optimization problem OPT-1 is established to maximize the vacation time ratio of WCE and hybrid particle swarm-genetic algorithm(PSOGA)is applied to solve optimization problem OPT-1 which is NP-hard problem.100 different WRSNs are simulated to validate the feasibility of the modified periodic charging strategy,and the superiority is verified by comparison with genetic algorithm(GA).On this basis,it is further assumed that the driving energy and the charging energy of the WCE are limited,the problem of applying the WCE for charging the sensors periodically is investigated.For each charging period,the total consumed energy of the WCE for charging and travelling is minimized when maximizing the charging period.In this way,WRSN can work permanently by using the minimum energy of the WCE.The optimization model of minimizing the energy of WCE is built based on analyzing the energy constraint of sensor nodes and the charging and driving constraints of WCE.Combining chaos search theory with particle swarm optimization(PSO),a chaotic particle swarm algorithm(CPSO)is proposed to get the periodic charging path and charging planning of WCE.Furthermore,six simulation scenes of WRSN which are consisted of two kinds of data routing and three kinds of nodes distribution are designed in this thesis,the convergence rates of CPSO increased by 40.48%at least compared with PSOGA.