Abstract
End-to-end throughput θ sd is the maximum amount of data that can be successfully delivered from source s to sink d across a given network in unit time. Determining θ sd is essential to understanding the network limit and is of important value to network design and evaluation. In the past few years, the problem of computing θ sd in multihop wireless networks has been extensively studied in the literature. It has been shown that this problem is NP-hard in general and various approaches have been proposed to compute approximate solutions. In this paper, we study one side of the problem, computing the upperbound of θ sd . We present a general solution framework based on linear program LP\((\mathcal{F})\), where \(\mathcal{F}\) is an arbitrary set of link sets. We show each choice of \(\mathcal{F}\) corresponds to an upperbound of θ sd and identify several good choice of \(\mathcal{F}\) based on the notions of clique and congestion. The tightness of these clique and congestion based upperbounds are evaluated by simulation.
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Lu, H., Liu, S. (2006). Upperbounding End-to-End Throughput of Multihop Wireless Networks. In: Cheng, X., Li, W., Znati, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2006. Lecture Notes in Computer Science, vol 4138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11814856_63
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DOI: https://doi.org/10.1007/11814856_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37189-2
Online ISBN: 978-3-540-37190-8
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