Node density and delay in large-scale wireless networks with unreliable links
S Zhao, X Wang - IEEE/ACM Transactions on Networking, 2013 - ieeexplore.ieee.org
S Zhao, X Wang
IEEE/ACM Transactions on Networking, 2013•ieeexplore.ieee.orgWe study the delay performance in large-scale wireless multihop networks with unreliable
links from percolation perspective. Previous works have showed that the end-to-end delay
scales linearly with the source-to-destination distance, and thus the delay performance can
be characterized by the delay-distance ratio γ. However, the range of γ, which may be the
most important parameter for delay, remains unknown. We expect that γ may depend heavily
on the node density λ of a wireless multihop network. In this paper, we investigate the …
links from percolation perspective. Previous works have showed that the end-to-end delay
scales linearly with the source-to-destination distance, and thus the delay performance can
be characterized by the delay-distance ratio γ. However, the range of γ, which may be the
most important parameter for delay, remains unknown. We expect that γ may depend heavily
on the node density λ of a wireless multihop network. In this paper, we investigate the …
We study the delay performance in large-scale wireless multihop networks with unreliable links from percolation perspective. Previous works have showed that the end-to-end delay scales linearly with the source-to-destination distance, and thus the delay performance can be characterized by the delay-distance ratio γ. However, the range of γ, which may be the most important parameter for delay, remains unknown. We expect that γ may depend heavily on the node density λ of a wireless multihop network. In this paper, we investigate the fundamental relationship between γ and λ. Obtaining the exact value of γ(λ) is extremely hard, mainly because of the dynamically changing network topologies caused by the link unreliability. Instead, we provide both upper bound and lower bound to the delay-distance ratio γ(λ). Simulations are conducted to verify our theoretical analysis.
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