Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mobility models are used to generate movements of mobile nodes in Ad-Hoc networks. It plays a significant role in determining the protocol performance. Hence, it is desirable that these models emulate the movement pattern of targeted real life applications in a reasonable way. Position, speed and moving direction of nodes are defined by the mobility model during the whole simulation and changes over time. The aim of every Rate Adaptation Algorithm (RAA) is to estimate channel quality and status of other stations (e.g. how many active stations are in a coverage area), and adjust transmission rate accordingly. Rate adaptation offers an effective means of facilitating system throughput improvement in IEEE 802.11-based wireless networks by improving the Physical (PHY) layer multi-rate option upon dynamic channel conditions. ,  have surveyed that OMNeT++ can be used to implement appropriate mobility model and supports rate adaptation. From our survey, some RAAs have already been implemented, such as Auto-Rate Fallback (ARF), and Adaptive Auto-Rate Fallback (AARF).  shows results obtained from MATLAB for some RAA and our proposed algorithm which has already been implemented in MATLAB. Results in this paper is a guide to expected results when implemented in OMNeT++.
['Kenneth S. Nwizege', 'Mauro Bottero']
I am writing a research paper on a idea A survey of rate adaptation algorithms for vehicular network simulation
[{"from": "human", "value": "I am writing a research paper on a idea A survey of rate adaptation algorithms for vehicular network simulation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mobility models are used to generate movements of mobile nodes in Ad-Hoc networks. It plays a significant role in determining the protocol performance. Hence, it is desirable that these models emulate the movement pattern of targeted real life applications in a reasonable way. Position, speed and moving direction of nodes are defined by the mobility model during the whole simulation and changes over time. The aim of every Rate Adaptation Algorithm (RAA) is to estimate channel quality and status of other stations (e.g. how many active stations are in a coverage area), and adjust transmission rate accordingly. Rate adaptation offers an effective means of facilitating system throughput improvement in IEEE 802.11-based wireless networks by improving the Physical (PHY) layer multi-rate option upon dynamic channel conditions. ,  have surveyed that OMNeT++ can be used to implement appropriate mobility model and supports rate adaptation. From our survey, some RAAs have already been implemented, such as Auto-Rate Fallback (ARF), and Adaptive Auto-Rate Fallback (AARF).  shows results obtained from MATLAB for some RAA and our proposed algorithm which has already been implemented in MATLAB. Results in this paper is a guide to expected results when implemented in OMNeT++."}]