Characterizing the interaction between routing and MAC protocols in ad-hoc networks

Barrett, Chris; Marathe, Achla; Marathe, Madhav V.; Drozda, Martin

doi:10.1145/513800.513812

Cited by 88 publications

(34 citation statements)

References 20 publications

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“…We can see that condition 2-(a) is satisfied for the case of f = f 4 since u i ≡ {f1,f2} u i+27 and u i ≡ {f3} u i+27 for i = 0, 3, 6, .., 24. Similarly, condition 2-(b) is satisfied since for each u i of {f 4 }-reduction, {u i } × {f 4 } * corresponds to test cases t i , t i+1 and t i+2 in T d . In the same way, we can generate the rest of T d that satisfies condition 2 for the case of f = f 3 (we omit those test cases for the limitation of space).…”

Section: Pairwise Testmentioning

confidence: 99%

“…There have been a few literature reporting that particular combinations of performance factors affect the entire performance of systems. For example, [4] investigates how ad-hoc routing protocols, MAC protocols, and mobility models affect network performance together. The results have shown that there is a strong relationship between ad-hoc routing protocols and MAC protocols.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Test Strategy for Network Protocols in Diverse Environment

Hiromori

Yamaguchi

Higashino

2011

2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems

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Abstract-In order to analyze important properties of network protocols, such as robustness and applicability, we may need exhaustive tests to observe effects of various factors under different settings. For recent protocols on dynamic, large-scale and environment-aware networks such as wireless sensor networks and mobile ad-hoc networks, we should consider many factors due to diversity of hardware profiles, upper/lower layer protocols and physical environments. In this paper, we propose a comprehensive test method to analyze the effect of (usually 10 or more) factors on such network systems. Our method takes a set of factors to be considered and their (representative) domain values as inputs, analyzes their effects on the systems, and determines dominant factors that have impact on the performance and their interactions. Instead of applying exhaustive tests that require all the combinations of domain values, we take a step-wise approach that examines step-by-step suspected sets of factors, which requires fewer combinations. We also justify this approach based on a reasonable fault model. The approach also contains an analytical method to identify the performance characteristics. Through realistic case studies, we show that we could find sets of dominant factors in wireless networks systematically.

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Section: Pairwise Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comprehensive Test Strategy for Network Protocols in Diverse Environment

Hiromori

Yamaguchi

Higashino

2011

2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems

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“…The thesis of our work is that we should be able to predict and energy consumption [6], [7], [8]. These cross-layer which system configuration delivers a specified throughput optimizations tend to focus on two layers of the protocol or latency goal based on a set of possible system configuastack with the goal of enhancing a specific performance tions, environmental conditions and an expressed demand.…”

Section: The Department Of the Air Forcementioning

confidence: 99%

A Predictive Model for Cognitive Radio

2006

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Public reporting burden tor thiS collection 0o intormation is estimated to average 1 hour per response, including the time 0or reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate applications a radio platform not only allows us to tackle the probthat were traditionally implemented in custom silicon to lem of spectrum utilization, but also serves as a terrific general purpose processors (GPP). In the area of wireless platform from which one can maximize the performance communication, this transition has given birth to the field of the system by intelligently manipulating communication of software-defined and cognitive radio. These-smart parameters. CR systems are ideally suited for research and radios, or Cognitive/Sofware-defined Radios (C/SDR), experimentation with spatially aware applications, adaptive can potentially make more efficient use of the available routing, cognitive media access control (MAC) layers, and RF spectrum and adapt to a wide range of protocols mutable physical layers. and environments. One of the key benefits of having aIn our pursuit of developing a viable CR platform, C/SDR is it's ability to change communication parameters we contend that it is crucial to understand how varying in response to changes in application needs and the parameters at the physical, data link and network layers can radio frequency (RF) landscape. While understanding the affect the performance and reliability of a wireless system. effects of changing communication parameters is a critical Understanding how these parameters affect performance precursor to the development of a predictive model, it is allows the researcher to consider how a system might be not the focus of this paper This research builds upon our optimized [1]. We see this as a first step in the development investigation of the affects of varying these communication of an algorithm for cognitive radios. Once the performance parameters through the development of a predictive model. implications of varying these parameters is understood and This model allows a C/SDR to dynamically modify its a model has been developed, one must consider secondary configuration in order to improve system performance.issues. These issues include decisions about when and how to change configurations, how these changes are propagated "The views expressed in this article are those of the throughout CR network, and how much time can be spent author and do not reflect the official policy or position of computing a change in configuration.

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“…The main previous works using these approaches in ad hoc area could be found in [6] [7] [8]. In [6] and [7], the authors used ANOVA [9] statistical technique to characterize the effect of interaction between routing protocols and MAC protocols. Although different injection rates and network topology have been selected for simulation, there is no analysis for the effects of these parameters on the network performance.…”

Section: Introductionmentioning

confidence: 99%

Key Factor and Interaction for Network Performance in Mobile Ad Hoc Networks

Wang

Kaleshi

Barton

et al. 2007

2007 2nd International Symposium on Wireless Pervasive Computing

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Abstract-In this paper, we present a comprehensive statistical experiment and identify the key factors and interactions that impact network performance over mobile ad hoc networks. We use the design of experiments software named Design-Ease to establish the mathematical model for analyzing the set of simulation results from ns2. A variety of important parameters for network performance including routing protocol, node density, node speed, traffic load and pause time are considered to capture the vital factors and interactions for network performance by measuring the packet delivery ratio, average delay, discovery time and recovery time in which latter two are the crucial metrics for ad hoc self-organising performance measurement. With the simulation and analysis results, we conclude the key factors and interactions which influence the specific network performance and suggest which aspects the designers should focus on for improving the given network performance.

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Characterizing the interaction between routing and MAC protocols in ad-hoc networks

Cited by 88 publications

References 20 publications

A Comprehensive Test Strategy for Network Protocols in Diverse Environment

A Comprehensive Test Strategy for Network Protocols in Diverse Environment

A Predictive Model for Cognitive Radio

Key Factor and Interaction for Network Performance in Mobile Ad Hoc Networks

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