Efficient Energy Transmission with Optimal Beam Construction for Sensor Devices

Wireless sensor devices are deployed to build the Internet of Things (IoT) based applications. Sensor devices are grouped to form Wireless Sensor Networks (WSN). Sensor energy charging is carried out with the battery replacement process. The Radio Frequency (RF) energy transfer techniques are adapted to build Wireless Powered Sensor Networks (WPSN). Electromagnetic Waves are used as a medium to transfer electric energy to the sensor devices. Duty cycling schemes are employed to manage the power utilization levels of the sensor devices. The multi antenna based power transmission scheme is used to charge the sensor nodes. An adaptive beamforming scheme dynamically focuses the microwave beam towards a sensor node. The receive power based channel estimation and energy beamforming algorithm is applied for the power charging process. The sensor energy storage is managed with an adaptive duty cycle control algorithm. Proportional Integral Derivative (PID) controller is used in the adaptive duty cycle control algorithm. The energy harvesting scheme is build to charge only one sensor node using the multi antenna based radio frequency power transmission mechanism. The wireless power transmission scheme is constructed to charge one or multiple sensor nodes at a time. The channel estimation algorithm is enhanced to support energy beamforming on multiple sensor nodes. Multiple node energy distribution is managed with beam splitting and time sharing algorithm. The energy scheduling algorithm is employed to handle the energy neutrality. The large scale transmit antenna array model is build to improve the end to end energy transfer efficiency.