Characterization of Battery life of an IOT based Wireless Networked Office Lighting System

Battery lifetime in the order of several years and millimeter size devices are a target for future sensor nodes while ensuring autonomous energy operation. Increasing battery life is essential when batteries are expensive, or in security and remote health monitoring applications where replacing batteries are difficult or critical. Some techniques to increase battery lifetime include reducing the active mode current, reducing the active time, proper selection of ultra-low power processors and connectivity solutions, duty cycling the sensors and optimization of clock speed and number of wakes and run time. This work considers the lifetime estimation of an IOT based sensor-actuator system controlling LED luminaire and window blinds based on ultra-low power processors and nano timer in an office lighting scenario. For connected systems, the power required for data processing on the device and communication protocols is too demanding. Also for an IOT device the proportion of time in each operating state strongly influences battery lifetime. A comparison of battery life using different IOT processors and connectivity solutions is also depicted. © 2020 IEEE.