naa a22 4500 510798888 CHVBK 20180411083346.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11277-013-1051-x doi (NATIONALLICENCE)springer-10.1007/s11277-013-1051-x Discrete-time Markov Model for Wireless Link Burstiness Simulations [Elektronische Daten] [Yantao Li, Daniel Graham, Gang Zhou, Xin Qi, Shaojiang Deng, Di Xiao] Link burstiness can negatively affect the performance of wireless networking protocols, by causing an extra of 15% transmission cost. It describes the underlying behavior of packet delivery and provides insights into tuning protocols to improve performance. In this paper, we propose a discrete-time Markov model to simulate the burstiness behavior of wireless links, which provides a novel approach for link burstiness studies. More specifically, we first present a discrete-time Markov model with the input of $$\beta $$ value and the output of a sequence trace of burstiness traffic. Then we design an algorithm to simulate the Markov model, where the state transition represents the packet receptions or losses. Finally, we evaluate the proposed model in terms of distribution of link burstiness, accuracy and cost, and the results demonstrate that our model is able to accurately simulate the burstiness behavior. Springer Science+Business Media New York, 2013 Simulation nationallicence Low power wireless networks nationallicence Discrete-time Markov model nationallicence Link burstiness nationallicence Li Yantao Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut Graham Daniel Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut Zhou Gang Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut Qi Xin Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut Deng Shaojiang College of Computer Science, Chongqing University, 400044, Chongqing, China aut Xiao Di College of Computer Science, Chongqing University, 400044, Chongqing, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/2(2013-09-01), 987-1004 0929-6212 72:2<987 2013 72 11277 https://doi.org/10.1007/s11277-013-1051-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1051-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Yantao Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut NATIONALLICENCE 700 1- Graham Daniel Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut NATIONALLICENCE 700 1- Zhou Gang Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut NATIONALLICENCE 700 1- Qi Xin Department of Computer Science, The College of William and Mary, 23187, Williamsburg, VA, USA aut NATIONALLICENCE 700 1- Deng Shaojiang College of Computer Science, Chongqing University, 400044, Chongqing, China aut NATIONALLICENCE 700 1- Xiao Di College of Computer Science, Chongqing University, 400044, Chongqing, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/2(2013-09-01), 987-1004 0929-6212 72:2<987 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer