Abstract
The performance of an ad hoc routing protocol is highly dependent on the mobility model used in the ad hoc networks. Most of previous work used only Random Waypoint mobility model, which is unrealistic in many situations. The mobile nodes are often power constrained so that energy conservation is also an important issue on evaluating protocols performance. This issue can be sort out in this paper with the help of two concepts: energy conservation based on different mobility models and concept of wirelessly recharges the networks node. Most of them focused on metrics such as packet delivery ratio, delay, and route optimality. In this paper, three on demand routing protocols AODV, DSR and TORA would be evaluate at power management metrics. These protocols are simulated and compared under three different mobility models: Random Waypoint, RPGM, and Manhattan Grid and various scenarios.
Highlights
AD HOC networks are self-organizing networks composed of independent mobile nodes
In this paper we present a performance study of three ad hoc routing protocols in different mobility models, focusing on their energy conservation performance
The performance of ad hoc routing protocols greatly depends on the mobility model it runs over
Summary
AD HOC networks are self-organizing networks composed of independent mobile nodes. There is no pre-established hierarchical infrastructure for communication between mobile nodes inside the network. As devices are being designed to be smaller (cell phones, PDAs, digital cameras), communication energy cost becomes a more significant portion of the total power consumed. In situations such as emergency rescue, military actions, and scientific field missions, energy conservation plays an even more important role which is critical to the success of the tasks performed by the network. Energy conservation should be considered carefully when designing or evaluating ad hoc routing protocols. In this paper we present a performance study of three ad hoc routing protocols in different mobility models, focusing on their energy conservation performance.
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