In this paper, the average throughput maximization challenge with resources fairness consideration is proposed. In a multipoint wireless body area network (MP-WBAN), the time switching (TS) strategy and fairness algorithm are studied to improve system resources allocation performance. Under extreme circumstances, the sensors transfer command signals to the access point (AP) requesting the radio frequency (RF) energy from the source node. On the other hand, the sensors attached to the body surface transmit the perceived physiological information to the AP node. Owing to distance-dependent signal attenuation, the sensors near the AP node harvest more RF energy and time slots to achieve higher throughput. On the contrary, the sensors farther from the source node receive fewer RF energy and time slots to obtain lower throughput. Therefore, we design the common throughput maximization algorithm to allocate more time to farther sensors. At last, the effectiveness and accuracy of the studied fairness scheme are verified by simulation experimental data. INDEX TERMS MP-WBAN; convex optimization technique; TS protocol; common throughput maximization.
DFIG (Double Fed Induction Generator) becomes a competitive wind power form due to it needs small capacity converter and the controllable of system efficiency and power factor. Aiming at back to back three-phase voltage-type PWM converter of the doubly-fed VSCF wind turbine, the nonlinear mathematical model of the controller of rotor side and network side is constructed, the strategy of feedback linearization of nonlinear control is proposed, the decoupling control of active and reactive power of DFIG is achieved. The simulation results indicate that: this control strategy has good dynamic characteristics, and the quality of power supply of DFIG is improved.
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