Statistical analysis technique on Ad Hoc network topology dynamic characteristics: Markov stochastic process

التفاصيل البيبلوغرافية
العنوان: Statistical analysis technique on Ad Hoc network topology dynamic characteristics: Markov stochastic process
المؤلفون: Wandong Cai, Chonggang Wang, Abder Koukam, Vincent Hilaire, Ye Yao
المصدر: Telecommunication Systems. 53:33-45
بيانات النشر: Springer Science and Business Media LLC, 2013.
سنة النشر: 2013
مصطلحات موضوعية: Mobility model, Markov chain, Optimized Link State Routing Protocol, Computer science, Wireless ad hoc network, Computer Science::Networking and Internet Architecture, Topology (electrical circuits), Mobile ad hoc network, Electrical and Electronic Engineering, Topology, Network topology, Network simulation
الوصف: On the basis of analysis on the scene files of mobility models in Ad Hoc network, the paper presents a network topology snapshots capturing method to obtain the Ad Hoc network topology architecture at any moment. Through analyzing on the Ad Hoc network topology snapshots, some dynamic characteristic parameters of Ad Hoc network, such as the number of network topology in steady state or unsteady state appearing during a certain time, as well as the durative time of network topology in steady state or unsteady state, could be obtained statistically. Furthermore, the probability of the network topology invariability and variability event could be predicated by adopting the discrete time and continuous time Markov stochastic process theory. The simulation result shows that the statistical analysis technique on Ad Hoc network topology dynamic characteristic not only is effective, but also has the general attribute, which could be used in the statistical analysis technique on Ad Hoc network topology dynamic characteristic under any mobility models.
تدمد: 1572-9451
1018-4864
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5d6e5396b053920a757398207d8c3188
https://doi.org/10.1007/s11235-013-9674-5
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........5d6e5396b053920a757398207d8c3188
قاعدة البيانات: OpenAIRE