NDLI: Scaling Laws of Social-Broadcast Capacity for Mobile Ad Hoc Social Networks

Content Provider	IEEE Xplore Digital Library
Author	Yu Fang Zijiao Zhang Cheng Wang Zhong Liy Huiya Yanz Changjun Jiang
Copyright Year	2015
Description	Author affiliation: Dept. of Commun. Eng., Donghua Univ., Shanghai, China (Zhong Liy) \|\| Dept. of Comput. Sci., Tongji Univ., Shanghai, China (Yu Fang; Zijiao Zhang; Cheng Wang; Changjun Jiang) \|\| Math. Dept., Univ. of Wisconsin-La Crosse, La Crosse, WI, USA (Huiya Yanz)
Abstract	In this paper, we mainly investigate capacity scaling laws of the mobile ad hoc social networks (MAHSNs)where social networking applications are implemented over the underlying mobile ad hoc networks. We model the real-world mobility pattern of mobile social users by introducing a clustered model that defines two levels of mobility, i.e., Strong mobility and weak mobility, according to the impacts of mobility on the gain of network capacity. To address the formation of social relationships among mobile social users, we adopt a distance and density aware social model called population-distance-based model that comprehensively and practically takes account of the clustering levels of friendship degree and distribution. Under those models, we derive the capacity scaling laws for social-broadcast sessions in MAHSNs. The results provide the exploratory insights into the impacts of users' mobility patterns and the formation of social relationships on the network capacity of MAHSNs.
Sponsorship	IEEE Comput. Soc.
Starting Page	262
Ending Page	270
File Size	639417
Page Count	9
File Format	PDF
e-ISBN	9781467391016
DOI	10.1109/MASS.2015.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Mobile Social Networks Social network services Social-Broadcast Ad hoc networks Mobile nodes Network Capacity Mobile computing
Content Type	Text
Resource Type	Article

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