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Data Dissemination and Query in Mobile Social Networks / by Jiming Chen, Jialu Fan, Youxian Sun
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink BücherPublisher: New York ; London : Springer, 2012Description: Online-Ressource (VI, 86p. 22 illus, digital)ISBN:- 9781461422549
- 005.74
- 621.382
- QA76.9.D3
Contents:
Summary: With the increasing popularization of personal hand-held mobile devices, more people use them to establish network connectivity and to query and share data among themselves in the absence of network infrastructure, creating mobile social networks (MSNet). Since users are only intermittently connected to MSNets, user mobility should be exploited to bridge network partitions and forward data. Currently, data route/forward approaches for such intermittently connected networks are commonly ""store-carry-and-forward"" schemes, which exploit the physical user movements to carry data around the netwoPPN: PPN: 1651399204Package identifier: Produktsigel: ZDB-2-SCS
Data Dissemination and Query in Mobile Social Networks; Contents; Chapter 1 Introduction to Mobile Social Networks; 1.1 Background and Definition; 1.2 Key Features; 1.2.1 User Mobility; 1.2.2 Opportunistic Networking; 1.2.3 Personal Devices; 1.3 Potential Applications; 1.3.1 Telemedicine for Rural Regions; 1.3.2 Social Network Services for the Developing World; 1.3.3 Communication under Oppressive Governments; 1.3.4 File Sharing and Bulk Data Transfer; 1.3.5 Share Air Minutes; 1.4 Research Topics and Related Concepts; 1.4.1 Realistic Social Contact Traces; 1.4.2 User Mobility Model
1.4.2.1 Purely Synthetic Models1.4.2.2 Trace-based Mobility Models; 1.4.2.3 Community-based Mobility Models; 1.4.3 Routing and Forwarding Techniques; 1.4.3.1 Proactive Routing vs. Reactive Routing; 1.4.3.2 Source Routing vs Per-hop Routing; 1.4.3.3 Message Splitting; 1.4.3.4 Using Social Context; 1.4.4 Data Dissemination and Query Schemes; Chapter 2 Data Dissemination in MSNets; 2.1 Introduction; 2.2 Overview; 2.2.1 Two Observations from Realistic MSNet Traces; 2.2.2 Big Picture; 2.2.3 Optimization Objectives; 2.3 Trace-based Analysis on Mobile Social Networks; 2.3.1 Experimental Traces
2.3.2 Geographic Regularity of User Mobility2.3.3 Geo-Community; 2.3.4 Geo-Centrality; 2.4 User Mobility Model; 2.4.1 User's Sojourn Time Distribution over Geo-Communities; 2.4.2 Time Homogeneous Semi-Markov Model; 2.4.3 Steady-state Probability Distribution over geo-Communities; 2.4.3.1 Transition Probability Matrix; 2.4.3.2 Sojourn Time Probability Distribution; 2.4.3.3 Computation of ϕki; 2.4.4 Similarity of Users' Steady-State Distributions in Different Time-Scales; 2.5 Designing Algorithms for the Superuser Route; 2.5.1 Static Route Algorithm; 2.5.1.1 Time-sensitive Superuser
2.5.1.2 Dissemination-Ratio-Sensitive Superuser2.5.2 Greedy Adaptive Route Algorithm; 2.6 Performance Evaluation; 2.6.1 Simulation Setup; 2.6.2 Performance Comparison; 2.6.3 Fairness of a User-Superuser Meeting Among Users; 2.6.4 Simulation Summary; 2.7 Discussions; 2.7.1 Interest-based Data Dissemination; 2.7.2 Multiple Superuser Scheduling; 2.7.3 Incentive Scheme in Selfish MSNets; 2.8 RelatedWork; 2.9 Conclusions; Chapter 3 Data Query in MSNets; 3.1 Introduction; 3.2 Preliminaries and Overview; 3.2.1 Network Models and Assumptions; 3.2.2 Information Search in DTNs: A Scenario
3.2.3 The Basic Idea3.2.4 Trace-based Analysis on Neighbors' Mobility Range; 3.3 DelQue Scheme; 3.4 Computing Utilities from Social Patterns and Mobility; 3.4.1 Transient Behavior of Time-Homogeneous Semi-Markov Model; 3.4.2 Spatio-Temporal Prediction of User Mobility; 3.4.3 Computation of Utilities; 3.4.3.1 Computing Utilities for QSS; 3.4.3.2 Computing Utilities for QMS; 3.5 Performance Evaluation; 3.5.1 Simulation Setup; 3.5.2 Comparison Results; 3.5.3 Impact of p and λ; 3.5.4 Performance Comparison between QSS and QMS; 3.5.5 Spatio-Temporal Prediction Evaluation
3.5.5.1 Geo-Community Clustering
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