Towards the performance analysis of IEEE 802.11 in multi-hop ad-hoc networks

Barowski, Yawen Dai; Biaz, Saad; Agrawal, P.

doi:10.1109/wcnc.2005.1424483

Cited by 57 publications

(35 citation statements)

References 14 publications

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“…Goodput and/or throughput of IEEE 802.11 DCF based multi-hop wireless networks are studied in [21,32,33,1,7,29,20,16,31,34]. Owing to the comparable complexity increase when switching from single-hop to multi-hop network architecture, these studies are based on either simulations [21,33] or on analytical models with simplified assumptions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Owing to the comparable complexity increase when switching from single-hop to multi-hop network architecture, these studies are based on either simulations [21,33] or on analytical models with simplified assumptions. For example, the hidden terminal effect is not considered in [1,7,34,22], whereas [16] considers only a small portion of hidden terminals that are on the intended path. The hidden terminal problem is included in the throughput analysis of IEEE 802.11 in [29] and [20], where only 3-node and string topologies are considered, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

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Effect of Traffic Arrival Distributions on Routing Strategyin Multi-Hop Wireless Networks

Aydoğdu

2016

Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

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The basic problem of whether direct transmission or multihop routing increases goodput in multi-hop wireless networks still lacks investigation from many aspects. This article, approaches this problem by considering the effect of different traffic arrival distributions on the choice of routing strategy for enhancing goodput of IEEE 802.11 DCF based multi-hop wireless networks under hidden terminal existence. Different traffic arrival distributions; including Poisson, constant bit rate (CBR), Pareto and Exponential are considered, relaxing the generally adopted Poisson assumption, for various data rates over a wide range of traffic loads extending from unsaturated to saturated traffic loads.The goodput performance for all traffic arrival distributions is found to be dependent on the traffic load in multihop networks. Of the four traffic models used, the network achieved the best goodput with Pareto and Exponential arrival distributions for light traffic loads, where CBR performs slightly better under heavy loads. The results suggest that a traffic load-aware pre-control mechanism on the traffic arrivals to the IEEE 802.11 MAC layer might provide significant goodput gains in multi-hop wireless networks.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Effect of Traffic Arrival Distributions on Routing Strategyin Multi-Hop Wireless Networks

Aydoğdu

2016

Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

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“…A Markov model was presented in Barowski et al [2005] to analyze the unsaturated throughput and delay of wireless LANs of the IEEE802.11 protocol, based on the fundamental work of Bianchi [2000]. In this model, the link collision probability and the link delay in a wireless LAN are expressed as functions of the number of nodes and the traffic load generated by the nodes.…”

Section: Per-hop Delay and Success Probability Analysismentioning

confidence: 99%

“…Given a wireless LAN of N nodes (mobile units) and traffic load from each node λ, we can calculate the link collision probability P c (N, λ), the time of a successful transmission T S (N, λ), and the time of a failed transmission attempt T F (N, λ) by the numerical method. For details of the calculation, we refer the reader to Barowski et al [2005].…”

Section: Per-hop Delay and Success Probability Analysismentioning

confidence: 99%

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Real-time data aggregation in contention-based wireless sensor networks

Zhang

Jia

Xing

2010

ACM Trans. Sen. Netw.

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We investigate the problem of delay constrained maximal information collection for CSMA-based wireless sensor networks. We study how to allocate the maximal allowable transmission delay at each node, such that the amount of information collected at the sink is maximized and the total delay for the data aggregation is within the given bound. We formulate the problem by using dynamic programming and propose an optimal algorithm for the optimal assignment of transmission attempts. Based on the analysis of the optimal solution, we propose a distributed greedy algorithm. It is shown to have a similar performance as the optimal one.

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Wireless Local Area Networks

2008

Wireless Broadband Networks

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I would like to express my deep and sincere gratitude to my supervisor, Doctor Ken Duffy. His wide knowledge and his logical way of thinking have been of great value for me. His superhuman patience, encouraging and personal guidance have provided a good basis for this thesis. During my PhD study, the most important thing he taught me is the principle of being scientific. That is 'every idea should come after a strong proof'. All of these are appreciated greatly.I should also send my sincere thanks to my great mentor, Doctor David Malone, who has helped me a lot. Without his help, our simulations and experiments could not run very well. During my PhD study, it was he that taught me so many sparkling ideas in scientific experimentation. Thank you very much.A number of people have made my stay in Ireland an enjoyable experience, especially Professor Douglas Leith. I am grateful to Rosemary Hunt, Kate Moriarty and Ruth Middleton for their willingness to help in all sorts of administrative matters.Finally, I am forever indebted to my parents and my wife for their understanding, endless patience and encouragement when it was most required.Thank you a billion times! xiii

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Towards the performance analysis of IEEE 802.11 in multi-hop ad-hoc networks

Cited by 57 publications

References 14 publications

Effect of Traffic Arrival Distributions on Routing Strategyin Multi-Hop Wireless Networks

Effect of Traffic Arrival Distributions on Routing Strategyin Multi-Hop Wireless Networks

Real-time data aggregation in contention-based wireless sensor networks

Wireless Local Area Networks

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