# OPTIMIZE SIGNAL STRENGTH AND ENERGY EFFICIENT MECHANISM FOR LINK FAILURE IN MANET

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6 6 Krittika Khator & Nitin Manjhi Figure 1: Route Selection in SE-AODV ALGORITHM OF PROPOSED APPROACH 1. A packet P from neighbor node. 2. Define RREQ, RREP packet structure. 3.Threshold values SIGNAL_THRESHOLD, ENERGY_THRESHOLD, Signal Strength (SS), and Node Energy. 4. Intermediate Nodes If A (Source) wants to send data to B (Destination) { AODV () // finds route between A & B i). Each node has RREQ packet. ii). RREQ packet contains following fields Impact Factor (JCC): Index Copernicus Value (ICV): 3.0

8 8 Krittika Khator & Nitin Manjhi Parameters on Node Signal Strength[S] In order to determine whether a node is still within range, a node keeps a record of the received signal strengths of neighboring nodes. Since Received signal strength measurements are taken at the physical layer there is no more computation is needed in node.when a node receives a packet from a neighbor, it measures the received signal strength. The RSSI value is calculated with the help of two ray ground model 2 2 P r (d) = P t * G t * G r * h t * h r d 4 L P r: Power received at distance d P t: Transmitted signal power G t : Transmitter gain (1.0 for all antennas) G r : Receiver gain (1.0 for all antennas) d: Distance from the transmitter L: Path loss (1.0 for all antennas) h t : Transmitter antenna height (1.5 m for all antennas) h r : Receiver antenna height (1.5 m for all antennas) Remaining Energy of Node [E] Since batteries offer limited working power to the mobile node Energy is one of the most important propose criteria for Mobile ad hoc networks. Power failure of a mobile node not only affects the node itself but also its ability to forward packets on behalf of others and hence affects the overall network life extent. SIMULATION PARAMETERS The simulation parameter has shown in Table 1. Here, we designed and implemented our test bed using Network Simulator (NS-2.34) to test the performance of both Routing algorithm. The total simulation time is 100 second. Table 1: Simulation Parameters Parameter Values Simulation Duration 100 s Topology Area 1000m x 1000m Number of Nodes 50/ Mobility Speed 2 to 50 m/s Mobility Model Random Waypoint Packet rate 4 packets/s Packet size 512 b Propagation Model Two Ray Ground Routing Protocol AODV Initial Energy 100 J Traffic Type Constant Bit Rate Impact Factor (JCC): Index Copernicus Value (ICV): 3.0

9 Optimize Signal Strength and Energy Efficient Mechanism for Link Failure in Manet 9 SIMULATION RESULTS We simulated SE-AODV (along with AODV) using NS In this section, we present the simulation results and compare SE-AODV with AODV. In this scenario we change the speed of node. Figure 2 shows that when speed of node increases end to end delay in AODV increases rapidly as compared to SE-AODV because weak signals are discarded at the routing layer after comparing RSSI with signal threshold. Figure 3 shows that as the speed of node increases, routing overhead also increases, SE-AODV avoids unreliable mobile nodes from the route, it requires less rerouting and leads to less control overhead so SE-AODV performs better in large network. Figure 4 shows that the number of packet drop is also low in SE-AODV as compared to AODV. So, the packet delivery ratio is also better than AODV in dense network. Figure 5 shows that SE-AODV performs better than AODV as the speed of node increases. Figure 6 shows that the energy consumption is minimum for SE-AODV as compared to AODV. Figure 2: End-to-End Delay vs. Speed of Nodes Figure 3: Normalized Routing Load vs. Speed of Nodes

10 10 Krittika Khator & Nitin Manjhi Figure 4: Packet Delivery Ratio vs. Speed of Nodes Figure 5: Generated Throughput vs. Speed of Nodes Figure 6: Average Energy Consumption vs. Speed of Nodes Impact Factor (JCC): Index Copernicus Value (ICV): 3.0

12 12 Krittika Khator & Nitin Manjhi 12. Dynamically Adaptive Multipath Routing based on AODV Perumal Sambasivam Ashwin Murthy Elizabeth M. Belding-Royer Department of Computer Science University of California, Santa Barbara peru, ashwin, 13. Maneesha V Ramesh1, Prabaharan. P2, Shameem Ansar. A Rekha. P, DVM based Scalable and Adaptive Multipath Routing in MANET For Emergency Rescue Application, st Annual Wireless and Optical Communications Conference(WOCC)-April 19-21, Kaohsiung, Taiwan, 2012 IEEE Impact Factor (JCC): Index Copernicus Value (ICV): 3.0

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