Apron-Aware Network Congestion Control Strategy Based on Opportunistic Transmission

Abstract

To improve data transmission efficiency of the apron network, multiple copies of packets are injected into the network. However, this method will result in more redundant data in the network, which further leads to network congestion. To solve the congestion, a Congestion Control Strategy based on Irregular Cellular Automaton (CCSICA) is introduced in this paper. In the apron environment, according to the interaction characteristics of the cellular automaton and surrounding neighbors, the existence of the replica of the neighboring node is fully considered. Then design the corresponding state transfer rules to achieve the purpose of more rational use of limited network resources. The simulation results show that the network overhead ratio and message delivery ratio can be improved dramatically by our proposed strategy.