DocumentCode
3122576
Title
Instant Advertising in Mobile Peer-to-Peer Networks
Author
Chen, Zaiben ; Heng Tao Shen ; Xu, Quanqing ; Zhou, Xiaofang
Author_Institution
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
fYear
2009
fDate
March 29 2009-April 2 2009
Firstpage
736
Lastpage
747
Abstract
To explore the benefit of advertising instant and location-aware commercials that can not be effectively promoted by traditional medium like TV program and Internet, we propose in this paper a solution for disseminating instant advertisements to users within the area of interest through a mobile peer-to-peer network. This is a new application scenario, and we devise an opportunistic gossiping model for advertisement propagation with spatial and temporal constraints. As bandwidth and computational resources are limited in a wireless environment, two optimization mechanisms utilizing distance and velocity information are provided for reducing redundant advertising messages. User interest is also considered as another critical factor in adjusting the advertisement propagation model, and we adopt the FM algorithm to achieve efficient counting of distinct users´ interests. Finally, we study the performance of our solution through simulation in NS-2. Compared with the naive flooding method, our approach achieves high quality delivery rate while reducing the number of messages by nearly an order of magnitude.
Keywords
advertising data processing; mobile computing; mobile radio; optimisation; peer-to-peer computing; FM algorithm; advertisement propagation model; instant advertising; location-aware commercial; mobile peer-to-peer network; opportunistic gossiping model; optimization mechanism; temporal constraint; user area-of-interest; Advertising; Data engineering; Information technology; Internet; Mobile computing; Peer to peer computing; Petroleum; TV; Telephone sets; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location
Shanghai
ISSN
1084-4627
Print_ISBN
978-1-4244-3422-0
Electronic_ISBN
1084-4627
Type
conf
DOI
10.1109/ICDE.2009.14
Filename
4812450
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