Power and Congestion Control Analysis for MANET in NS3

Abstract

Abstract

Routing to MANET is difficult due to the navigation feature. The main causes of connection failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport area. The interference is due to a collision and a hidden node. A hidden node means two nodes outside the radio frequency range of each one while trying to transmit data to an intermediate node located in the radio frequency range of each of the transmitted nodes. None of the sent nodes will recognize the transition of the other node, resulting in a conflict in the node. Signal strength is a parameter of interaction between layers. The received signal strength is obtained from the physical layer and checked in the MAC layer if it is above a certain threshold. If it is above the limit, the correlation is different otherwise, it is weak, which can lead to road failure. When a route is likely to fail due to weak signal node power, it will find an alternative route. AODV has the best congestion avoidance mechanisms. In this project, we propose a design approach, different from the traditional way of network design, to enhance the cross-interaction between different layers, i.e., the physical layer, the MAC layer, and the network layer. The CLPC approach will help enhance transmission power by calculating average RSS values and identifying an effective route between source and destination. The cross-design approach is tested by simulation (NS3 simulator) and its performance will be found in AODV.

Keywords: RSS (received signal strength), CLD (cross-layer design), CLPC (cross-layer approach for power control) AODV (ad hoc on-demand distance vector), CCAODV (congestion control AODV), routing packages (RREQ, RREP, RRER), network layers, NS-3, MANET