Data Dissemination and Query in Mobile Social Networks by Jiming Chen

By Jiming Chen

With the expanding popularization of private hand held cellular units, extra humans use them to set up community connectivity and to question and proportion facts between themselves within the absence of community infrastructure, developing cellular social networks (MSNet). given that clients are just intermittently attached to MSNets, consumer mobility might be exploited to bridge community walls and ahead information. presently, info route/forward methods for such intermittently hooked up networks are regularly "store-carry-and-forward" schemes, which make the most the actual consumer pursuits to hold info round the community and triumph over direction disconnection. and because the resource and vacation spot can be distant from one another, the hold up for the vacation spot to obtain the information from the resource will be lengthy. MSNets might be considered as one kind of socially-aware hold up tolerant networks (DTNs). saw from social networks, the touch frequencies are most likely various among pals and strangers, and this distinction could be considered while designing information dissemination and question schemes in MSNets. during this e-book, the elemental options of MSNets are brought together with the historical past, key gains and power purposes of MSNets, whereas additionally offering examine issues, resembling, MSNets as real looking social touch strains and consumer mobility types. as the final target is to set up networks that permit cellular clients to quick and successfully entry fascinating info, specific consciousness is paid to info dissemination and question schemes in next sections. mixed with geography details, the ideas of group and centrality are hired from a social community point of view to suggest a number of information dissemination and question schemes, and extra use genuine social touch lines to judge their functionality, demonstrating that such schemes in achieving greater functionality while exploiting extra social relationships among users.

Show description

Read or Download Data Dissemination and Query in Mobile Social Networks PDF

Similar data modeling & design books

Data Analysis for Database Design, Third Edition

Info research for database layout is a topic of serious sensible worth to structures analysts and architects. This vintage textual content has been up-to-date to incorporate chapters on allotted database platforms, question optimisation and object-orientation. The SQL content material now comprises positive aspects of SQL92 and SQL ninety nine. With new databases coming on-line forever and the overall enlargement of the knowledge age, it truly is more and more very important to make sure that the research and version of a database layout is exact and strong.

Practical Scientific Computing

Medical computing is set constructing mathematical versions, numerical equipment and laptop implementations to review and remedy genuine difficulties in technology, engineering, enterprise or even social sciences. Mathematical modelling calls for deep realizing of classical numerical equipment. This crucial advisor offers the reader with adequate foundations in those components to enterprise into extra complicated texts.

Data Dissemination and Query in Mobile Social Networks

With the expanding popularization of non-public handheld cellular units, extra humans use them to set up community connectivity and to question and percentage facts between themselves within the absence of community infrastructure, developing cellular social networks (MSNet). due to the fact that clients are just intermittently attached to MSNets, consumer mobility might be exploited to bridge community walls and ahead info.

Smarter Decisions - The Intersection of Internet of Things and Decision Science

Input the area of net of items with the ability of knowledge technology with this hugely sensible, enticing bookAbout This BookExplore real-world use circumstances from the web of items (IoT) area utilizing determination technology with this easy-to-follow, functional bookLearn to make smarter judgements on most sensible of your IoT ideas in order that your IoT makes sense in a true senseThis hugely useful, example-rich advisor fills the space among your wisdom of information technology and IoTWho This publication Is ForIf you've gotten a uncomplicated programming event with R and need to resolve company use instances in IoT utilizing determination technology then this publication is for you.

Extra info for Data Dissemination and Query in Mobile Social Networks

Example text

Then, we also study the spatial distributions of pairwise user contacts. We choose one user with the largest size of syslog from the traces to analyze the distribution of geo-locations where he/she makes contact with the other users in the network. 4 gives the standard deviation of contact counts at different geo-locations. , the standard deviation reaches the upper bound accordingly. The real situation is that a user in MSNets affiliates to several different communities, and then they periodically act as the different roles, respectively.

However, these models always assumed the special nodes move with fixed routes. SCFR [94] studied a multiple-ferry scenario, and the ferry trajectory was adaptive to the actual traffic and location of destinations. Moreover, multiple relays were allowed in SCFR but with control. However, only ferries were mobile and all other nodes were static. Tariq et al. [95] aim towarded designing a customized ferry route without disturbing nodes’ movements in mobile DTNs, but they laid many constraints on node mobility, and did not consider the social nature of the network.

6). We collect traces on monthly and daily bases to derive different steady-state distributions of users over geo-communities, and compare them with cosine distance as described in Eq. 3). Here p = [p j ] and q = [q j ] are the steady-state distributions of two semi-Markov models under comparison, respectively. 3 gives the above similarity measure between steady-state distributions derived based on traces of MIT Reality in different time-scales. The monthly traces are collected in a period of 7 months (28-week period) between 19 September, 2004 and 4 March, 2005.

Download PDF sample

Rated 4.83 of 5 – based on 9 votes