Energy Efficient Data Transmission in WSN for Network Lifetime Enhancement

Wireless Sensor Network (WSN) is made up of the multiple sensor nodes which can communicate with each other over a network wirelessly. The sensor node has significant use in the application of WSN. WSNs detect physical conditions of patients to sense various physical aspects and relay the critical information to the base station using the multi-hop data transmission technology. WSNs gather the information on the environment and physical world. In the Internet of Things (IoT) technology with numerous sensor nodes, WSNs are employed via the internet to collect the data. The energy supplied by battery is deemed as the important element of sensor nodes. Energy is what is needed one to complete a number of tasks to achieve efficient data delivery and transmission. The sensor nodes have battery lives with limited energy leading to the consideration of network life improvement. The network lifetime is one that is critical to WSN in ensuring the sustainable operation in remote places. A lot of machine learning techniques have been formulated in enhancing the lifetime of a network. However, the up-to-date technique did not improve the energy efficiency and the lifetime of the network. To overcome these problems, various clustering and optimization schemes are elaborated in regard to node localization schemes.