Modeling Flow Inter-arrival Time in Wireless Sensor Network
Flow modeling of wireless sensor network (WSN) is a new field of network flow analysis, and most of research on flow modeling of WSN is based on the Poisson theory currently. However, WSN shows self-similarity as a part of information networks. In this paper we analyze and verify the flow interarrival time (IAT)s self-similarity in the periodic mode of WSN. Then a cumulative TAR (1) model is proposed. Moreover, the distribution and self-similarity of original data and simulation data are compared. The results illustrate that the simulation data generated by the cumulative TAR (1) model reflect the flow characteristics of WSN working in periodic mode effectively, and the model can provide simulation data and theoretical foundation for the research on typical WSNs performance.
wireless sensor network(WSN) inter-arrival time(IAT) periodic mode self-simillar TAR(1)
Yali Wang Yuan an Liu Fan Wu
Wireless Communications & EMC Laboratory of BUPT Beijing, China
国际会议
太原
英文
460-465
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）