Hybrid Tree Construction for Sustainable Delay Aware Data Aggregation in Wireless Sensor Networks

Data aggregation is a process of collecting data from all the sensor nodes with a sink node to generate a statistic report in a wireless sensor network. Data aggregation can be performed in various ways that resolves many issues like aggregation delay, collision, security and energy utilization. This paper proposes a Hybrid tree construction (HTC) algorithm to perform the delay efficient data aggregation in wireless sensor network. In HTC a node which has high renewable energy is chosen as root. Each node chooses their corresponding parent and child node among their neighbors by implementing a two-hop tree construction method. In this HTC left child will be selected based on its residual energy and least distance from the other nodes and right child is the second least distance node from the root. By applying a delay efficient data aggregation algorithm on the data aggregation tree constructed by HTC, the performance of the proposed algorithm has been studied. The HTC algorithm has been applied on different network scenarios to improve its performance through the simulation models and the results are verified by comparing with other models.