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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
       DRINA: A Lightweight and Reliable Routing Approach for in-
           Network Aggregation in Wireless Sensor Networks
   Abstract
          Large scale dense wireless sensor networks (WSNs) will be increasingly
   deployed in different classes of applications for accurate monitoring. Due to the
   high density of nodes in these networks, it is likely that redundant data will be
   detected by nearby nodes when sensing an event. Since energy conservation is a
   key issue in WSNs, data fusion and aggregation should be exploited in order to
   save energy. In this case, redundant data can be aggregated at intermediate nodes
   reducing the size and number of exchanged messages and, thus, decreasing
   communication costs and energy consumption. In this work we propose a novel
   Data Routing for In-Network Aggregation, called DRINA, that has some key
   aspects such as a reduced number of messages for setting up a routing tree,
   maximized number of overlapping routes, high aggregation rate, and reliable data
   aggregation and transmission. The proposed DRINA algorithm was extensively
   compared to two other known solutions: the In FRA and SPT algorithms. Our
   results indicate clearly that the routing tree built by DRINA provides the best
   aggregation quality when compared to these other algorithms. The obtained results
   show that our proposed solution outperforms these solutions in different scenarios
   and in different key aspects required by WSNs.




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  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in DRINA: A Lightweight and Reliable Routing Approach for in- Network Aggregation in Wireless Sensor Networks Abstract Large scale dense wireless sensor networks (WSNs) will be increasingly deployed in different classes of applications for accurate monitoring. Due to the high density of nodes in these networks, it is likely that redundant data will be detected by nearby nodes when sensing an event. Since energy conservation is a key issue in WSNs, data fusion and aggregation should be exploited in order to save energy. In this case, redundant data can be aggregated at intermediate nodes reducing the size and number of exchanged messages and, thus, decreasing communication costs and energy consumption. In this work we propose a novel Data Routing for In-Network Aggregation, called DRINA, that has some key aspects such as a reduced number of messages for setting up a routing tree, maximized number of overlapping routes, high aggregation rate, and reliable data aggregation and transmission. The proposed DRINA algorithm was extensively compared to two other known solutions: the In FRA and SPT algorithms. Our results indicate clearly that the routing tree built by DRINA provides the best aggregation quality when compared to these other algorithms. The obtained results show that our proposed solution outperforms these solutions in different scenarios and in different key aspects required by WSNs. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1