Paper Info
Title
Unraveling the Impact of Users' Interest on Information Dissemination in Wireless Networks.
Abstract
In this paper, we analyze the throughput of data dissemination at the level of users' interests. We show that users' interests have the ability to drastically improve upon existing throughput scaling's established under the assumption that users show the same preference in any type of data they encounter. More precisely, we consider the scenario where each data source estimates the recipients that will be interested in its data based on user interest probability, which is described by a Zipf-distributed data popularity that decays of exponent alpha with data ranking. For such a user-centric model, we divide our analysis into different cases depending on data catalogue size K and study their respective throughput performance. With totally n users assumed, we present closed-form expressions of user-centric throughput versus n, alpha, and K. In particular, our results reveal that when alpha = 1 where users' interests exhibit a moderate level of heterogeneity, the maximum throughput of Theta(root n) (except for a poly-logarithmic factor) can be achieved in all the situations, with appropriate choice of K. The results augment the existing scaling laws derived in network-centric situation, in that given the same throughput data can be disseminated efficiently to more recipients in a user-centric network.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2841432
IEEE ACCESS
Keywords
Field
DocType
Wireless network,information exchange,user centered design
Wireless network,Data modeling,Ranking,Expression (mathematics),Computer science,Computer network,Dissemination,Throughput,Wireless ad hoc network,Distributed database
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Xiaoying Gan134448.16
Zhida Qin213.05
Luoyi Fu341558.53
Xinbing Wang42642214.43