Computational Approach for Data Aggregation in Wireless Sensor Networks (WSNs)

Energy conservation of sensor nodes is one of the main and most significant objectives of wireless sensor networks. These tiny sensor nodes in risky circumstances function on battery. Thus, it is vital to research and create networks having long network lifetimes, a high degree of durability, and minimal energy consumption. The routing technique used in WSNs has a significant impact on the performance of the network. This paper provides an overview of routing and data aggregation techniques used in WSNs. It begins by discussing the challenges associated with WSNs such as limited energy, bandwidth, processing power, and storage. Furthermore, the literature survey is done. In the proposed methodology, the importance of computational approaches like machine learning (ML) techniques is included.