An Optimized Adhoc Network Routing Protocol For Multi-performance Decision Making

This paper proposes an improved AODV routing protocol based on multi-parameter decision making, combined with multi-parameter decision making and ant colony optimization algorithm, to select the optimal route of adhoc network. The goal is to improve the delivery rate of data packets and the robustness of the network during the operation of the adhoc network. By dynamically obtaining the metrics of transmission distance, node connection reliability, node progress, direction, network delay and node lifetime of each node. Using minimization of three measures, transmission distance, node progress and direction, and node connection and maximization of reliability, network delay, and survival time metric as decision-making basis, the moving probability function in the ant colony algorithm is constructed.The global pheromone is updated by the combination of the constructed function with the local optimal path. According to the above strategy, the selection of each hop node in the routing process will be based on the calculated selection probability. Algorithm simulation with the help of the NS-2 platform, the analysis results demonstrated that the improved protocol packet delivery rate is higher than the unmodified protocol, resulting in better network performance indicators, such as average network delay, routing overhead, packet delivery rate and so on.