DocumentCode :
3052926
Title :
Opportunistic content pushing via WiFi hotspots
Author :
Tao Han ; Ansari, Nayeem
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
680
Lastpage :
684
Abstract :
Metro WiFi networks can be potentially leveraged to offload data traffic from congested cellular networks. In this paper, we design a content pushing system which pushes the content to mobile users through opportunistic WiFi connections. The system responds a user´s pending requests or predicted users´ future requests, codes these requested contents by using Fountain codes, predicts the user´s routes, and prelocates the coded content to the WiFi access points along the user´s routes. The content prelocation scheme is based on an order-2 Markov predictor and the connection duration statistics. Through simulations, we show that a significant amount of content can be delivered to mobile users through the proposed system.
Keywords :
Markov processes; cellular radio; codes; wireless LAN; WiFi access points; WiFi hotspots; congested cellular networks; connection duration statistics; content prelocation scheme; fountain codes; metro WiFi networks; mobile users; offload data traffic; opportunistic WiFi connections; opportunistic content pushing; order-2 Markov predictor; predicted users future requests; user pending requests; Delay; IEEE 802.11 Standards; Markov processes; Mobile communication; Mobile computing; Servers; Wireless communication; Content Delivery Networks; WiFi Networks; Wireless Networking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2201-0
Type :
conf
DOI :
10.1109/ICNIDC.2012.6418842
Filename :
6418842
Link To Document :
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