Accumulative feedback adaptation transmission rate in mobile ad-hoc networks

Mobile adhoc networks (MANET) are commonly used in a lot of applications in military and civilian domains. MANET are self-organized networks and depend on the ability of each node to optimize the transmission parameters to meet applications' bandwidth requirements. MANET nodes need to adapt their transmission parameters depending on the channel status and network dynamics like variation in node density, traffic, and mobility. In this paper, we will present an accumulative feedback adaptation transmission rate scheme (AFAT) that ensures MANET nodes will be able to maximize the transmission rates to ensure applications' bandwidth requirements are met. AFAT a d o pts a decentralized approach which involves communication of transmission rates between neighboring nodes. The knowledge of neighbor nodes' transmission rates allows an individual node to adjust the rates accordingly. AFAT is scalable because the overhead only involves exchange of transmission rates between neighboring nodes. Simulation results confirm that MANET nodes adopting the AFAT scheme will converge to a transmission rate that will meet applications' bandwidth requirements.