A Comparative Study on Data Aggregation in Wireless Sensor Networks by using Directed Diffusion and Ant Colony Algorithm?

Wireless sensor networks uses Data Aggregation concept for reducing energy consumption. Data Aggregation gathers correlated sensing data and aggregates at the intermediate nodes to reduce the number of messages exchanged network. This paper considers the problem of comparing the energy consumptions of Directed Diffusion and Ant Colony Algorithm for data aggregation. Directed diffusion is data-centric. All nodes in a directed diffusion-based network are application-aware. This enables diffusion to achieve energy savings by selecting empirically good paths and by caching and processing data in-network. The ant colony system provides a natural and intrinsic way of exploring search space in determining data aggregation. Every ant will explore all possible paths from the source node to the sink node. The data aggregation tree is constructed by the accumulated pheromone