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Tuesday 30 October 2012

Game Theoretic Pricing for Video Streaming in Mobile Networks



 Abstract:                       

                        
 Mobile phones are among the most popular consumer devices, and the recent 

developments of 3G networks and smart phones enable users to watch video 

programs by subscribing data plans from service providers. Due to the ubiquity  

of mobile phones and phone-to-phone communication technologies, data-plan 

subscribers can redistribute the video content to non subscribers. Such a 

redistribution mechanism is a potential competitor for the mobile service 

provider and is very difficult to trace given users’ high mobility. The service 

provider has to set a reasonable price for the data plan to prevent such 

unauthorized redistribution behavior to protect or maximize his/her own profit.  

In this paper, we analyze the optimal price setting for the service provider by 

investigating the equilibrium between the subscribers and the secondary 

buyers in the content- redistribution network. We model the behavior between  

the subscribers and the secondary buyers as a non cooperative game and find 

the optimal price and quantity for both groups of users. Based on the behavior  

of users in the redistribution network, we investigate the evolutionarily stable 

ratio of mobile users who decide to subscribe to the data plan. Such an 

analysis can help the service provider preserve his/her profit under the threat 

of the redistribution networks and can improve the quality of service for end 

users.



FUZZY TYPE-AHEAD SEARCH IN XML DATA: 

Given an XML document D, a keyword query Q={k1, k2, . . . kg}, and an edit-

distance threshold T . Let the predicted-word set be Wki={w/w is a tokenized 

word in D and there exists a prefix of w, ki', ed(ki, ki')<=T}. Let the predicted 

answer set be RQ={r/r is a keyword-search result of query {w1 belongs to 

Wk1, w belongs to Wk2, . . . , wl belongs to  Wkl}}. For the keystroke that 

invokes Q, we return the top-k answers in RQ for a given value k, ranked by 

their relevancy to Q.


There are two challenges to support fuzzy type-ahead search in XML data. 

1. How to interactively and efficiently identify the predicted words that 

have prefixes similar to the input partial keyword after each keystroke from 

the user.

2. How to progressively and effectively compute the top-k predicted answers 

of a query with multiple keywords, especially when there are many predicted 

words.



MODULE DESCRIPTION:
1.      Game theory
2.      Subscriber Module
3.      Secondary Buyers
4.      Admin module



Game theory:


           Game theory is the formal study of conflict and cooperation. Game 

theoretic concepts apply whenever the actions of several agents are 

interdependent. These agents may be individuals, groups, firms, or any 

combination of these. The concepts of game theory provide a language to 

formulate structure, analyze, and understand strategic scenarios.

Subscriber Module:

      In this module subscriber choose video and download the video from 

service providers. Subscribers pay the amount to service provider. Service 

provider provides that video key to subscriber. So subscribers watch the 

video using video key. Also subscriber, redistribute the video to another 

user such as using blue tooth or Wi-Fi technologies.

Secondary Buyers:

     In this module secondary buyers easily getting the video from 

subscriber using Wi-Fi or blue tooth technologies. Secondary buyers don’t 

pay the amount to service provider. And same time secondary buyers don’t 

have a video key. But same time secondary buyer does not possible to 

watch that video.

Admin module:
 
      In this module admin upload the video to database. Also view the 

subscriber details and user details. Admin find the redistribute details. 

Also who send the video and receive the video. 

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