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We can see that the end-to-end delay of the improved routing algorithm G-AODV is smaller than the original AODV.
3, this simulation experiment showed us that AODV, DYMO and LAR protocols are having higher end to end delays than others, indicating that the speed of simulation in large scale networks will be affected by this.
DSR outperforms AODV significantly in terms of routing overhead in low mobility.
Examples of reactive protocols include AODV "Ad-hoc On Demand Distance Routing protocol"  and DSR "Dynamic Source Routing" .
Kulkarni and G R Rao  in their work on energy efficiency of routing protocols observed that DSR was energy efficient as compared to AODV.
The comparative performance of AODV and proposed protocol is studied in different simulation scenarios based on the selected performance parameters.
The protocols considered for analysis are AODV, DSDV, TORA and DSR.
And later on, the performance evaluation is done for the protocols, DSR, AODV and the proposed framework with the parameters, FDR, end to end delay and residual energy.
It considers link states and shares the same probabilistic propagation model as of AODV.
Two set of simulations are performed with (MANET-W and WSN-W) and without Wi-Max base station (MANET and WSN) and without base station scenario tested with AODV only [in the simulation it was named as MANET-W (with Wi-Max)].
Simulation results show that AODV incurred the lowest hop count for its routes when simulated under the Random Waypoint mobility model.
The simulation is set with the area of 500 m X 500 m and AODV is used as the routing protocol.
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