Factors affecting the performance of ad hoc networks

Perkins, Dmitri; Hughes, Herman D.; Owen, Charles B.

doi:10.1109/icc.2002.997208

Cited by 90 publications

(58 citation statements)

References 3 publications

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“…A similar study on the factors affecting the performance of the ad hoc networks gives similar suggestions [19]. It is shown that increasing the network size, while maintaining the traffic load, leads to increased throughput.…”

Section: Related Work Reviewsupporting

confidence: 56%

Mobility impact in IEEE 802.11p infrastructureless vehicular networks

2012

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Vehicular ad hoc networks (VANETs) are an extreme case of mobile ad hoc networks (MANETs). High speed and frequent network topology changes are the main characteristics of vehicular networks. These characteristics lead to special issues and challenges in the network design, especially at the medium access control (MAC) layer. Due to high speed of nodes and their frequent disconnections, it is difficult to design a MAC scheme in VANETs that satisfies the quality-of-service requirements in all networking scenarios.In this thesis, we provide a comprehensive evaluation of the mobility impact on the IEEE 802.11p MAC performance. The study evaluates basic performance metrics such as packet delivery ratio, throughput, and delay, as well as the impact of mobility factors. The study also presents a relation between the mobility factors and the respective medium access behavior. Moreover, a new unfairness problem according to node relative speed is identified for both broadcast and unicast scenarios. To achieve better performance, we propose two dynamic contention window mechanisms to alleviate network performance degradation due to high mobility. Extensive simulation results show the significant impact of mobility on the IEEE 802.11p MAC performance, an identification of a new unfairness problem in the vehicle-to-vehicle (V2V) communications, and the effectiveness of the proposed MAC schemes.iii Acknowledgements I would like to express my deepest appreciation and gratitude to my supervisor Professor Weihua Zhuang for her guidance, support, and share of knowledge. Professor Zhuang can be considered as a role model for the professional academic supervisor. She gave me the opportunity to choose the topic of my Master's research, and provided me with invaluable suggestions and advice. She always inspired me when discussing research problems. In addition to her solid knowledge that enriched my research, she was always available, professional, helpful, and extremely nice. Her extraordinary commitment to the excellence of research made the opportunity to work with her a true reward of my Master's research.

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Section: Related Work Reviewsupporting

confidence: 56%

Mobility impact in IEEE 802.11p infrastructureless vehicular networks

2012

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“…It is extremely hard to have the scalability handled in a MANET due to the random and unlimited mobility (Perkins et al, 2002). Mobility is at most the first designer's enemy of MANET (Murthy and Mano, 2004).…”

Section: Challenges and Issues Of Manetsmentioning

confidence: 99%

“…Therefore, both computing and ubiquitous communication are considered to be two goals of mobile ad hoc networking. In the matter of fact, both of them are rapidly deployed in such a way they do not rely on a pre-existing infrastructure, for example, Base Station (BS) and Access point (AP) (Perkins et al, 2002). A peer to peer network refers to MANET which has the ability to allow a communication between each wireless client that relies on any infrastructure.…”

Section: Overview Of Manetsmentioning

confidence: 99%

Multimedia Applications for MANETs over Homogeneous and Heterogeneous Mobile Devices

Alomari¹,

Sumari²

2012

Wireless Communications and Networks - Recent Advances

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“…Perkins et al [5] studied and quantified the effects of various factors and their two-way interactions on the overall performance of MANETs. Using 2k factorial experimental design, they isolated and quantified the effects of five factors: (i) node speed, (ii) pause-time, (iii) network size, (iv) number of traffic sources, and (v) type of routing.…”

Section: Related Workmentioning

confidence: 99%

Determining the Representative Factors Affecting Warning Message Dissemination in VANETs

Martínez

Toh

Cano

et al. 2011

Wireless Pers Commun

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In this paper, we present a statistical analysis based on the 2k factorial methodology to determine the representative factors affecting traffic safety applications in Vehicular ad hoc networks (VANETs). Our purpose is to determine what are the key factors affecting Warning Message Dissemination (WMD) in order to concentrate on such parameters, thus reducing the amount of required simulation time when evaluating VANETs. Simulation results show that the key factors affecting warning messages delivery are: (i) the transmission range, (ii) the radio propagation model used, and (iii) the density of vehicles. Based on this statistical analysis, we evaluate a compound key factor: neighbor density. This factor combines the above-mentioned factors into a single entity, reducing the number of factors that must be taken into account for VANET researchers to evaluate the benefits of their proposals.Keywords Vehicular ad hoc networks · performance evaluation · inter-vehicle communication · 2k factorial analysis 1 Introduction

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Factors affecting the performance of ad hoc networks

Cited by 90 publications

References 3 publications

Mobility impact in IEEE 802.11p infrastructureless vehicular networks

Mobility impact in IEEE 802.11p infrastructureless vehicular networks

Multimedia Applications for MANETs over Homogeneous and Heterogeneous Mobile Devices

Determining the Representative Factors Affecting Warning Message Dissemination in VANETs

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