Successive Interference Cancellation Based Throughput Optimization for MultiHop Wireless Rechargeable Sensor Networks Wireless Sensor Networks are constrained by low channel utilization and limited battery capacity, so they are widely regarded as the mainly performance bottlenecks. In this paper, in order to improve channel utilization and prolong network lifetime, we investigate the cooperation of multihop Wireless Rechargeable Sensor Networks (WRSNs) with Successive Interference Cancellation (SIC) technology. In WRSNs, since the flow rate of each node is unknown, the power of the nodes is not constant. However, SIC will not work if the signal power levels at receive node cannot be sorted. To solve this issue, we first construct a minimum energy routing and unify the transmit rate to determine the transmit power. We can also obtain the time scheduling scheme after determining the routing and power. Next, we formulate an optimization problem, with the objective of maximizing the mobile chargerxe2x80x99s vacation time over the rechargeable cycle. Finally, we provide a nearoptimal solution and prove its feasible performance. Simulation results present that SIC can achieve the better upper boundary on throughput (compared to inference avoidance increasing about 180xe2x80x93450%) and no extra transmit and receive energy consumption in the multihop WRSNs.

VCEC: Velocity Control of EnergyConstrained RFBased Wireless Charger in Sensor Networks with MultiDepots Deployment RF energy transfer, as the main farfield wireless energy transfer technology in wireless sensor networks, allows the relatively long charging distance from wireless charger to sensor nodes. Existing charging schemes based on a mobile RF energy charger neglect the energy consumption of the charger and its limited battery capacity. Motivated by this, we consider the practical charging scenario where energyconstrained mobile charger (MC) travels along a constrained long trajectory in the network area to wirelessly power the sensors, with multiple depots (for the energy provision of MC) deployed on the trajectory to achieve high energy efficiency. In this paper, we introduce VCEC, a VelocityControl scheme of Energyconstrained mobile Charger to maximize the minimum charged energy in nodes after MC passes through the whole trajectory. Specifically, we first simplify the initial velocitycontrol problem to a tractable one by discretizing the trajectory into segments and propose a distributed algorithm to solve it. Then, we present a segment merging algorithm for the realworld applications. Our VCEC scheme achieves an approximation ratio of (1xcex98)(1 e)1. Simulations and testbed experiments are conducted to show that VCEC promotes the bottleneck nodeu0027s charged energy by at least 20% as compared to the baseline scheme where MC moves at a constant speed.