Simulation-Based Battery Life Prediction Technique in Wireless Sensor Networks
Wireless Sensor Network (WSN) is emerging field and it becoming a central focus due to its application on the internet of things (IoT) and in disaster areas. WSN are self-schedule network; they require no administrator to control the whole network, in such a way that every single node performs scheduling on their own behalf. To perform all these activities, they require a lot of power which is actually a very limited resource, due to distributed nature of the network. In this paper, our main objective is to reduce power consumption in WSN. The problem of the early depreciation and latency in WSN is address and purposed a new novel battery life prediction (NBLP) technique against this issue which will measure the battery life at different unique factors that are duty cycles and voltages. It will give the vision to choose not only best power source but also to schedule network in different duty cycle efficiently to achieve a low power consumption rate. For the simulation purposes, BeanAir and XLP simulator are used.