IEEE802.11MAC协议研究与优化

Research and optimize in IEEE802.11MAC protocol

着眼于IEEE802.11MAC协议的改进与优化。根据马尔可夫理论分析了MAC层性能,首次提出利用平均冲突次数来代替以往算法中对竞争终端个数的精确测量,在此基础上将冲突权值引入DCF(distributed coordi-nation function)机制中,从而提出了基于冲突权值的动态优化方案(dynamic optimization algorithm based on theconflict weights,DOBCW)。经仿真对比测试,改进方案DOBCW在系统吞吐量和系统时延方面很具优势,最高可提高两倍的系统吞吐量和降低80%的系统时延。而在对系统稳定性的考察中,改进方案DOBCW的吞吐率和系统时延也表现得比原有机制更为稳定。通过仿真实验,有效地证明了改进方案高效性。

The paper focused on the improvement and optimization of the IEEE802.11MAC protocol. By Using Markov chain theory, analyzed the throughput of MAC. It used the average collision count to replace the accurate measurement of the number of competition terminals in the previous algorithm, then added conflict weights to the DCF mechanism, and proposed the dynamic optimization algorithm based on the conflict Weights, Through comparison tests, the improved algorithm had obvious advantages. Got the maximum 2 times of the system throughput and lower 80% of the system delay ,based on standard algorithm. In the study of system stability, the improved scheme is more stable in throughput and system latency comparing original mechanism. Through the simulation, it improves that the improving algorithm is effective.