Areeba Rahman, Bakhtawar, Nageen Saleem, Fahad Ahmad, Muhammad Rizwan
Wireless sensor network is made up to detection stations. Wireless sensor networks give flexibility of communication in real world. From multiple nodes data is forwarded and connected with different networks via gateway. It improves the work performance in the field of industry and daily life. Charging duration of wireless rechargeable sensor networks (WRSN) is nothing less than a challenge. If we overcome this problem, these WRSNs would be acceptable at high rate worldwide. The problem that often comes while charging the wireless networks is the prior knowledge of the whole network and the power levels of each node. We are proposing a scalable solution where we don’t need any prior knowledge of the network. We are using fuzzy inference system where we don’t need to explore the full network as this is time consuming. An unmanned device will be used for this purpose that transfer the power wirelessly to the nodes and extends the wireless network’s life. Fuzzy inference system is simple and flexible. Moreover, it covers wide range of operating situations.
Areeba Rahman, Bakhtawar, Nageen Saleem, Fahad Ahmad, Muhammad Rizwan (2019); Energy Optimization in Wireless Rechargeable Sensor Networks; International Journal of Scientific and Research Publications (IJSRP)
9(4) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.04.2019.p8860