The data aggregation approach to enhance the lifetime of wireless sensor network

Wireless Sensor Network technology has been one of the most transforming and empowering technologies in recent years. In wireless sensor networks (WSNs), a sensor node collects all the data and forwarded to a sink node. The position of the sink node has a huge impact on the energy consumption and lifetime of WSNs. The collected data is transmitted through multihop communication to the sink. Data aggregation is a well-known approach in WSN and it is a process of collecting and aggregating the data from multiple sensors to provide combined information to the base station. This process repeats for many rounds in collecting these data efficiently that is to reduce the energy cost of data transmission. Traditionally tree-based structured approach is a basic operation for periodically sensing and collecting reports from all sensors nodes and sends it to the sink. It can find the shortest path between the leaf nodes and sink for transmitting the data in more efficient way in order to reduce the energy utilization. It is been known that this paper proposes algorithms such as Angular Query Region Division Routing Algorithm In Angular algorithm data aggregation protocol are used for sensing and collecting the data. This algorithms focus on two problems such as lifetime extension and energy consumption. The experimental results of the two algorithms are illustrated with below using ns2 simulation.