Performance analysis of IEEE 802.11 ad hoc networks in the presence of exposed terminals

Vassis, Dimitris; Kormentzas, George

doi:10.1016/j.adhoc.2007.04.002

Cited by 14 publications

(7 citation statements)

References 6 publications

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“…In Vassis and Kormentzas [12], Vassis et al evaluated the performance effects of exposed terminals in IEEE 802.11 ad hoc networks under finite load conditions. This paper used the model in Tobagi and Kleinrock [13] to derive total delay and network utilization parameters.…”

Section: Related Workmentioning

confidence: 99%

An analytical model of delay in multi-hop wireless ad hoc networks

et al. 2011

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Several analytical models of different wireless networking schemes such as wireless LANs and meshes have been reported in the literature. To the best of our knowledge, all these models fail to address the accurate end-to-end delay analysis of multi-hop wireless networks under unsaturated traffic condition considering the hidden and exposed terminal situation. In an effort to gain deep understanding of delay, this paper firstly proposes a new analytical model to predict accurate media access delay by obtaining its distribution function in a single wireless node. The interesting point of having the media access delay distribution is its generality that not only enables us to derive the average delay which has been reported in almost most of the previous studies as a special case but also facilitates obtaining higher moments of delay such as variance and skewness to capture the QoS parameters such as jitters in recently popular multimedia applications. Secondly, using the obtained single node media access delay distribution, we extend our modeling approach to investigate the delay in multi-hop networks. Moreover, probabilities of collisions in both hidden and exposed terminal conditions have been calculated. The validity of the model is demonstrated by comparing results predicted by the analytical model against those obtained through simulation experiments.

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Section: Related Workmentioning

confidence: 99%

An analytical model of delay in multi-hop wireless ad hoc networks

et al. 2011

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“…Furthermore, it currently only supports the IEEE 802.11b specification with a maximum data rate up to 11 Mb/s in the 2.4-GHz band [12]. More recently, the tools Pythagor and Panvotis appeared with the sole purpose of studying WLANs [13], [14]. Their main feature is their support for different types of physical-layer implementation and their speed rates, as well as net operations, by combining IEEE 802.11b/g nodes in mixed mode.…”

Section: Introductionmentioning

confidence: 99%

WiFiSiM: An Educational Tool for the Study and Design of Wireless Networks

Sanguino

López

Hernández³

2013

IEEE Trans. Educ.

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A new educational simulation tool designed for the generic study of wireless networks, the Wireless Fidelity Simulator (WiFiSim), is presented in this paper. The goal of this work was to create and implement a didactic tool to improve the teaching and learning of computer networks by means of two complementary strategies: simulating the behavior and performance of communication protocols based on the IEEE 802.11 standard widely studied in networking courses, and providing with improved scope and realism for students engaged in wireless network design and modeling. The educational interest of this tool lies in the realism of the simulation, which provides a high level of interactivity and visual information through a highly configurable graphic user interface, as well as highly intuitive and easy-to-interpret graphic results. This educational tool was tested by computer networking teachers, students, and professionals. The experience demonstrated the effectiveness of the software and resulted in a significant improvement in the students' practical work, leading to enhanced learning and consolidation of theoretical concepts.

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“…To this end, we propose Imola, a decentralised learning-driven networking paradigm that overcomes the performance limitations facing carrier sensing based access mechanisms in multi-hop topologies, especially when operating in TVWS [7] . Precisely, as base sta-tions often compete with different numbers of neighbours, while encountering hidden and exposed terminal problems [8,9] , their performance degrades severely and unfairness arises in the absence of appropriate link scheduling. 1 For example, consider a typical multi-hop wireless network where traffic flows traverse two hops to an Internet gateway, as illustrated in Fig.…”

Section: Introductionmentioning

confidence: 99%

Imola: A decentralised learning-driven protocol for multi-hop White-Fi

Facchi

Gringoli

Malone

et al. 2017

Computer Communications

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In this paper we tackle the digital exclusion problem in developing and remote locations by proposing Imola, an inexpensive learning-driven access mechanism for multi-hop wireless networks that operate across TV white-spaces (TVWS). Stations running Imola only rely on passively acquired neighbourhood information to achieve scheduled-like operation in a decentralised way, without explicit synchronisation. Our design overcomes pathological circumstances such as hidden and exposed terminals that arise due to carrier sensing and are exceptionally problematic in low frequency bands. We present a prototype implementation of our proposal and conduct experiments in a real test bed, which confirms the practical feasibility of deploying our solution in mesh networks that build upon the IEEE 802.11af standard. Finally, the extensive system level simulations we perform demonstrate that Imola achieves up to 4x\u97 more throughput than the channel access protocol defined by the standard and reduces frame loss rate by up to 100%

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Performance analysis of IEEE 802.11 ad hoc networks in the presence of exposed terminals

Cited by 14 publications

References 6 publications

An analytical model of delay in multi-hop wireless ad hoc networks

An analytical model of delay in multi-hop wireless ad hoc networks

WiFiSiM: An Educational Tool for the Study and Design of Wireless Networks

Imola: A decentralised learning-driven protocol for multi-hop White-Fi

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