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In this paper, we have explained the Enhanced Adaptive Position Update strategy for geographic routing in mobile ad hoc network In Adaptive Position Update strategy, there are two techniques: Mobility prediction rule and On-demand learning rule. Proposed system is based on the destination aware routing in which path to transfer the data over the network is based on the distance from highly stable node to the destination node. Results of the proposed system are compared with Periodic Beaconing on the basis of packet delivery ratio, beacon overhead, energy consumption. Experiment results show a high improvement in results on the parameters energy consumption, packet delivery ratio and beacon overhead. Proposed work is implemented on the NS2 (Network Simulator) Environment to perform experiments.
Destination Aware APU Strategy for Geographic Routing in MANET
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In this paper, we have explained the Enhanced Adaptive Position Update strategy for geographic routing in mobile ad hoc network In Adaptive Position Update strategy, there are two techniques: Mobility prediction rule and On-demand learning rule. Proposed system is based on the destination aware routing in which path to transfer the data over the network is based on the distance from highly stable node to the destination node. Results of the proposed system are compared with Periodic Beaconing on the basis of packet delivery ratio, beacon overhead, energy consumption. Experiment results show a high improvement in results on the parameters energy consumption, packet delivery ratio and beacon overhead. Proposed work is implemented on the NS2 (Network Simulator) Environment to perform experiments.
Destination Aware APU Strategy for Geographic Routing in MANET
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