Energy efficient 2 tier data aggregation scheme in-Sensor networks

Abstract Sensor data should be compatible with the limits of energy and calculation, network dynamics, and features of network failure. It is necessary to reduce packet size and prepare data for efficient, scalable data mining. For this reason, as a preprocessing stage, this method leads us to settle on a periodic data compilation. In a tree-based bi-level periodic aggregation method, this chapter presents both root node and aggregator stage. Our participation in these chapters. First, we check any calculated data regularly. Second, though preserving the measure’s sum of operations, we periodically clean it. At aggregator stage, data is then aggregated between node groups. Information consistency can be maintained during network transmission by the quantity of occurrences of each indicator called weight. Laboratory studies demonstrate the importance of knowledge.