An Artificial Intellegence Based Relay Node Tree Formation Network(AIBRTN) forSecure Data Transformation To Enhance The Life Of Wireless Senser Netwoks

Abstract

This research article proposes a noval approach for enchancing life of wireless senser networks and secure data transformation from source node(node closes to environment) to sink node(root of Wireless Senser Network) by introducing a tree formation with artifical intellegence based decision making at relay node side in Wireless Senser Network. This research article induces a balanced algorithm that manage the performance and quality of tasks performed at each node are as following:1)number of source node directly connected to Intermidiate node (2)energy of each source node and relay node before and after data transformation (3) calculation of shortest path for data taransformation between senser node (4)Artificatical intellegence basesd shifting load(number of source node directly connected to relay node) from one relay node to other relay nodes to overcome queinng delays at relay node or if energy of one relay node is dying and its load can easily be managed by other relay node with proper updation messege to all relay and source node to overcome minimum life due less energy  in WSN.The simulations is performed with applying above mentioned approach  to find the (1)energy efficiency at each node of network, (2)queuing delays(3)maximum throughput of network without data aggregation and result showed that proposed technique  has better results than Tree Based Data Aggregration method(TDAM) and balanced tree for data transfmission(BDTML) as mentioned in litrature[1,3].