Data Aggregation Tree Approach in Aodv Protocol to Select Dynamic Route for Sensor Network

Abstract

Design an energy efficient data aggregation tree approaches sensor network using localized power efficient data aggregation protocols. Using LMST and RNG topologies approximate minimum spanning tree and calculate position and distance information of one hop neighbors. A new node is added or fails route maintenance procedure is executed. The shortest weighted path – based approaches, can achieve 90 percent of the upper bound on lifetime. AODV proposed algorithm to assess the node lifetime and link lifetime utilizing the dynamic nature of energy drain rate and relative mobility estimation rate of nodes. Using node lifetime and link lifetime algorithm select least dynamic route with the longest lifetime. On prediction AODV protocol is a loop – free routing and has self – starting in network behavior as node mobility, link fail and packet losses.