Multisensor data fusion technique for energy conservation in the wireless sensor network application "condition-based environment monitoring"

Due to the nature of the continuous and large volume of data transmission, energy conservation appears particularly tedious at WSN. This exhausts the energy faster, leading to failure of the sensor network. With the increase in the number of applications, there is high complexity in data transmission and more extensive accuracy requirements over the last few years, extended use of sensors challenges on the increase in sensors battery life-time too. In leveraging the display and control of the sensor operation, the multisensor data fusion technique plays a vital role. In the Condition-based Environment Monitoring System application, the proposed ADKF-DT-MF for the multisensor data fusion is implemented to detect natural and human disturbances to provide accurate and rapid environmental awareness. This paper describes the energy conservation module of the proposed system in concern to accuracy, processing efficiency, energy consumption, and the overall network operational life-time. The simulation results show a better accuracy of 97% with an energy consumption of 0.95 compared with the existing FIM, VWFFA, and Fuzzy algorithms.