A New Algorithm of Self-adapting Congestion Control Based on Semi-normal Distribution
Degan Zhang, Zhaojing Liu, YanPin Liang - · INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences · 2011
The control of network congestion has become a hot spot in the study of Internet of Things transmission service. Considering the complicated and integrated network environment that the Internet of Things to face in the future, the paper comes up with control algorithm of self-adapting congestion based on semi-normal distribution, this algorithm has improved the original packet loss rate function, and conduct corresponding control over network situation categorized according to the length of queue. The result of experiment shows that the algorithm of self-adapting congestion control based on semi-normal distribution is adapt to the complicated changing congestion situation in Internet of Things.