个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:天津大学
学位:博士
所在单位:软件学院、国际信息与软件学院
电子邮箱:lei.wang@dlut.edu.cn
Predictive-TDMA: A Markov chain based MAC protocol for mesh networks
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论文类型:会议论文
发表时间:2011-05-15
收录刊物:EI、Scopus
摘要:One of the most frequently concerned metrics for evaluating the performance of MAC protocol is throughput. In this paper, we propose a novel Markov Chain based TDMA MAC protocol which is called Predictive-TDMA (P-TDMA) to achieve high performance of throughput for Mesh Networks. In order to give a more effective time slot assignment strategy rather than even assignment, we use Markov Chain to predict the possibility of an end-user device's future working condition, whether it's more likely to be idle or busy. Then based on the ratio of all end-user devices'possibilities of working condition, we assign a proper number of time slots to each end-user device to maximize throughput. Through simulation, the results show that under the scenario that the amount of data is randomly requested by each end-user device, throughput of our design is around 10% better than even assignment strategy. and under the scenario that some end-user devices request much more amount of data than others, which happens more frequently in realistic situations, throughput of our design can be 200% better than even assignment strategy. ? 2011 IEEE.