An Improved Data Aggregation Method to Minimize The Energy Consumption and Increase Life Time In WSN

Abstract

Many applications exist for WSN, including but not limited to environmental monitoring, exploration, and military surveillance. When data relevant to several applications is gathered by the WSN’s nodes and sent to the sink, it may be analysed and repurposed. Sensing data is often sent from the sensor to the sink via multi-hop routing. To identify the network event, the sink stores the data in a database, processes it using control instructions, and then assesses the results. (Wu, Lee, and Chung) Data aggregation reduces the amount of data that must be sent by processing data locally inside the network.This paper suggested clustering method called ”Improved Data Accumulation Clustering (IDAC)” emphasises the formation of clusters with the goals of load balancing and lifespan extension for the network. First, the cluster heads are selected depending on their distance from the hub. The base station is located outside the sensing area. At initially, we feed each sensor the same amount of energy. All sensors can simultaneously gather data and it has been send to hub. The BS is aware of the positions of every sensor node, also nodes at top level of cluster have communication capabilities. cluster head probability is denoted by the symbol p. Once a node has served as cluster leader for 1/p rounds, it may serve in that capacity again. Initial node energy levels are represented by the symbol Emax.