Survivable wireless ATM network architecture

Wang, Y.H.; Soh, Wee-Seng; Tsai, Ming-Hui; Kim, H.S.

doi:10.1109/icccn.2000.885516

Cited by 7 publications

(1 citation statement)

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“…Models for transient analysis of FIFO queues have been extensively studied in prior art in diverse scenarios, such as in ATM networks [17] and leaky buckets [10]. In this paper we adapt our results from [5], in which the authors base their analysis on an M/M/1/K queue in order to calculate the impact of survivability as analysed along the following paragraphs.…”

Section: Buffer Transient Analysismentioning

confidence: 94%

Connection availability and transient survivability analysis in wireless ad-hoc networks

Kalogridis

Lin

2009

Proceedings of the 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Network survivability performance provides an assessment of how well a network supports its functionalities in adverse conditions. This paper studies a wireless network survivability scenario, in which ad hoc routing failures occur due to node mobility, and it enhances and validates previously published results in the following manner: a) it analyses ad hoc connection availability with the use of a Markovian model, b) it amends a previously published evaluation of mobile ad hoc router "birth" and "death" rates, c) it validates theoretical results with simulations, and d) it uses a transient model to evaluate the impact of connection availability to higher application layers. The overall survivability model combines a steady-state analysis of the Markovian model and a transient analysis of packets queuing for access to the wireless medium. The main assumption for the Markovian model is that changes in the ad hoc routing status follow an exponential distribution with state transitory rates analogous to the number of available routers. These rates also depend on the network geometry and the node mobility model. Given a "random walk" mobility model, it is shown that the connection availability is independent of the node velocities. This is statistically verified by simulations reinforcing the validity of the theoretical Markovian assumption. The impact of link failures to the survivability of the system is studied by emulating the layers between the data traffic source and the wireless MAC protocol with a buffer and, thereafter, by evaluating the amount and duration of transitory buffer overflows. The presented survivability model could serve as groundwork for further research in ad hoc wireless networks, including ad hoc network performance analysis and QoS optimisation.

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Section: Buffer Transient Analysismentioning

confidence: 94%