LoCO: Local Cooperative Data Offloading System Based on Location Information

The development of high speed mobile networks and the widespread use of smartphones have enabled users to easily obtain large data volumes via the Internet. This causes a heavy consumption of network resources, a burden on the available bandwidth. To solve such problems, a data offloading method with...

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Bibliographic Details
Published inJournal of Telecommunications and Information Technology Vol. 1; no. 2019; pp. 67 - 75
Main Authors Yamazaki, Taku, Asano, Kazuma, Arai, Satoshi, Shimomura, Yusuke, Miyoshi, Takumi
Format Journal Article
LanguageEnglish
Published Warsaw Instytut Lacznosci - Panstwowy Instytut Badawczy (National Institute of Telecommunications) 2019
National Institute of Telecommunications
Subjects
Bandwidths
Client server systems
Communication
Cooperation
cooperative offloading
distributed download
Downloading
Internet
load balance
load reduction
Local area networks
location information
Methods
peer-to-peer
Service introduction
Smartphones
Wireless access points
Wireless communications
Wireless networks
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Summary:The development of high speed mobile networks and the widespread use of smartphones have enabled users to easily obtain large data volumes via the Internet. This causes a heavy consumption of network resources, a burden on the available bandwidth. To solve such problems, a data offloading method with a wireless LAN access point has been used to distribute traffic from mobile to fixed networks. However, the method using wireless LAN access points can only change the communication paths but cannot reduce the overall traffic. This paper proposes a local cooperative data offloading system (LoCO) that reduces the overall traffic by sharing data, with direct communication between neighbors based on their location-related information. Moreover, the authors implemented the LoCO system on Android smartphones and clarified its performance in comparison with a traditional client/server system through experiments to download data in a real-world environment.
ISSN:1509-4553
1899-8852
DOI:10.26636/jtit.2019.130518