NDLI: DRL: A Multi-factor Mobility Model in Mobile Social Networks

Content Provider	Springer Nature Link
Author	Jing, Tao Zhang, Yating Li, Zhen Huo, Yan
Copyright Year	2016
Abstract	The complexity and variability of mobile social networks make protocol evaluation hard. Thus synthetic mobility models that well reflect the properties of human movement in real MSNs must be used in simulations. The overall objective of this paper is to design a pragmatic mobility model that comprehensively involves multiple factors that affect the choice of the next destination. The concept of Community Attraction is proposed as the selection criteria. It is related to three factors, that is, the distance of moving, the human relationships and the location restriction. Thus, our new mobility model is called Distance, Relationship, Location (DRL). Specifically, the former two factors are indicated through interaction matrices, which take the Social Relationship Attributes and the information of location as input. And we propose Location Attraction for the first time to denote the location restriction of a place. By the way, the value of Location Attraction is time varying. Moreover, the parameters that decide the weights of the factors in the formula of Community Attraction are derived by machine learning. And the learning method is called Bayesian Personalized Ranking algorithm. We load several protocols on DRL and the result shows that DRL correctly assesses their performance. To verify the reasonability of our model, we compare the simulation results of DRL with real traces, and they fit well.
Starting Page	1693
Ending Page	1711
Page Count	19
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	95
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2016-11-14
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mobile social networks Mobility model Bayesian personalized ranking Protocol evaluation Communications Engineering, Networks Signal,Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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