Improving network connectivity in the presence of heavy-tailed interference
Wang, Pu Akyildiz, Ian F.
Wang, Pu
Akyildiz, Ian F.
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2014-10
Type
Article
Genre
Keywords
Heavy tail,Connectivity,Latency
Subjects (LCSH)
Citation
Pu Wang; Akyildiz, I.F., "Improving Network Connectivity in the Presence of Heavy-Tailed Interference," Wireless Communications, IEEE Transactions on , vol.13, no.10, pp.5427,5439, Oct. 2014
Abstract
The heavy tailed (HT) traffic from wireless users, caused by the emerging Internet and multimedia applications, introduces a HT interference region within which network users will experience unbounded delay with infinite mean and/or variance. Specifically, it is proven that, if the network traffic of primary networks (e. g., cellular and Wi-Fi networks) is heavy tail distributed, there always exists a critical density lambda(p) such that, if the density of primary users is larger than lambda(p), the secondary network users (e. g., sensor devices and cognitive radio users) can experience unbounded end-to-end delay with infinite variance even though there exists feasible routing paths along the network users. To counter this problem, the mobility of network users is utilized to achieve delay-bounded connectivity, which simultaneously ensures the existence of routing paths and the finiteness of the delay variance along these paths. In particular, it is shown that there exists a critical threshold on the maximum radius that the secondary user can reach, above which delay-bounded connectivity is achievable in the secondary networks. In this case, the end-to-end latency of secondary users is shown to be asymptotically linear in the Euclidean distance between the transmitter and receiver.
Table of Contents
Description
Click on the DOI link to access the article (may not be free).
Publisher
IEEE
Journal
IEEE Transactions on Wireless Communications
Book Title
Series
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
1536-1276