Markov chain model for performance analysis of transmitter power control in contention based wireless MAC protocol

Tahir, Muhammad; Mazumder, Sudip K.

doi:10.1007/s11235-008-9103-3

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…Description Throughput [228] Markov chains have been used to analyze the carrier sense multiple access (CSMA) type MAC protocol for its delay and throughput characteristics with and without transmitter power control [229] Analyzed the achievable region of the throughput in a slotted ALOHA-based two-way relay network by using Markov chains [230] Analyzed the number of polls (NPS) in Wimax networks based on the Markov chain analysis for minimizing the average polling delay while increasing network throughput Latency [231] Using Markov chains, the authors investigate the effect of finite buffer sizes on the throughput capacity and latency in terms of packet delay of line network with packet erasure links that have perfect feedback [232] A Markov chain method has been proposed in order to estimate the throughput and average latency in wireless erasure networks with nodes having finite buffers Resilience [233] Reliability Assessment of resilient packet ring (RPR) is carried out using Markov chains [234] Error resilience parameters are proposed for Mobile AdHoc Network (MANET) network scenarios as an appropriate error resilience configuration, which are then analyzed using Markov chains [235] Using Markov chains, the authors systematically analyze the features of resilience to failures and attacks of the current structured P2P systems in terms of average path length and hit ratio and understand the causes, which lead to better resilience features. [236] The author discusses business impact analysis in the context of resilient communication networks.…”

Section: Network Metricsmentioning

confidence: 99%

Reliability modeling and analysis of communication networks

Ahmed

Hasan

Pervez

et al. 2017

Journal of Network and Computer Applications

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In recent times, the functioning of various aspects of modern society-ranging from the various infrastructural utilities such as electrical power, water to socio-economical aspects such as telecommunications, business, commerce, education-has become critically reliant on communication networks, and particularly on the Internet. With the migration of critical facilities to the Internet, it has become vitally important to ensure the reliability and availability of networks. In this paper, we study various modeling and analysis techniques that can aid in the study of reliability of communication networks. In this regard, we provide background on the modeling techniques (such as reliability block diagrams, fault trees, Markov chains, etc.) and analysis techniques (such as mathematical analytical methods, simulation methods, and formal methods). Apart from providing the necessary background, we also critically evaluate the pros and cons of different approaches, and provide a detailed survey of their applications in communication networks. To the best of our knowledge, this is the first in-depth review of the application of reliability modeling and analysis techniques in communication networks. work, the ability of a network to maintain an acceptable reliability level under extreme environmental conditions and assess the impact of design changes on the reliability of the overall network [17]. Similarly, the availability prediction allows us to evaluate various maintenance design options to achieve the desired availability of the network [18].The qualitative and quantitative reliability analysis requires the selection of an appropriate mathematical modeling and analysis technique. The modeling technique must be able to effectively capture the important parameters of the real system and the analysis technique should be capable of providing insights into the system behavior without running (or executing) the real system. There are numerous techniques that can provide analysis in the early phase, when only initial details are available of the design, and there are other techniques that cater the analysis of the later design phases, when more precise implementation details are available [16]. Some of the most widely used formalisms/techniques for modeling reliability and availability of communication networks are: Reliability Block Diagram (RBD) [19], Fault Tree (FT) [20], and Markov Chain (MC) [21]. Traditionally, the models developed using these techniques are analyzed using analytical methods or simulation tools.Recently, the computer networks community has shown great interest in the utilization of formal methods [22] as a reliability analysis technique for communication networks. Formal methods use mathematical logic to precisely model the system's intended behavior and deploy mathematical reasoning to construct an irrefutable proof that the given system satisfies its requirements. This kind of mathematical modeling and analysis makes formal methods an accurate and rigorous analysis method compared to the traditional a...

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Section: Network Metricsmentioning

confidence: 99%

Reliability modeling and analysis of communication networks

Ahmed

Hasan

Pervez

et al. 2017

Journal of Network and Computer Applications

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“…The performances of CSMA/CA networks in infrastructure mode has been well investigated (in [21,34,35,28] for example). But, there are only a few studies dealing with the performances of the CSMA/CA mechanism in ad hoc mode, in particular about its capacity, spatial reuse and interference.…”

Section: Introductionmentioning

confidence: 99%

Capacity and interference modeling of CSMA/CA networks using SSI point processes

Busson

Chelius

2013

Telecommun Syst

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International audienceThe relative location of simultaneous transmitters, i.e. the set of nodes transmitting a frame at a given time, has a crucial impact on the performance of multi hop wireless networks. Two fundamental aspects of wireless network performances are related to these locations: capacity and interference. Indeed, as interference results from the summation of signals stemmed by concurrent transmitters, it directly depends on the transmitters' location. On the other hand, the network capacity is proportional to the number of simultaneous transmitters. In this paper, we investigate original point processes that can be used to model the location of transmitters that comply with the CSMA/CA policies, i.e. the Medium Access Control protocol used in 802.15.4 and 802.11 families of wireless technologies. We first propose the use of the Simple Sequential Inhibition point process to model CSMA/CA networks where clear channel assessment depends on the strongest emitter only. We then extend this point process to model a busy medium detection based on the strength of all concurrent signals. We finally compare the network capacity obtained through realistic simulations to a theoretical capacity estimated using the intensity of the SSI point process. It turns out that the proposed model is validated by the simulations

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Performance Study of the IEEE 802.15.6 Slotted Aloha Mechanism with Power Control in a Multiuser Environment

Orozco-Barbosa

2016

Ad Hoc Networks

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Markov chain model for performance analysis of transmitter power control in contention based wireless MAC protocol

Cited by 7 publications

References 27 publications

Reliability modeling and analysis of communication networks

Reliability modeling and analysis of communication networks

Capacity and interference modeling of CSMA/CA networks using SSI point processes

Performance Study of the IEEE 802.15.6 Slotted Aloha Mechanism with Power Control in a Multiuser Environment

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