Rider: A Multi Layer Framework for Road Condition Estimation
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 110 | Views: 424

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016 | Popularity: 6.2 / 10


     

Rider: A Multi Layer Framework for Road Condition Estimation

Sona P, Divya M


Abstract: Rider A multilayer framework for road condition estimation, is an agent based multi-layer framework to estimate road condition details and to support various applications for vehicular social networks (VSNs) formed by in-vehicle or mobile devices used by drivers, passengers, and pedestrians. The programming model of the framework incorporates features that support collaborations between mobile agents to provide communication services on behalf of owner applications, and service (or resident) agents to provide application services on mobile devices. Built on top of the mobile devices operating systems, the framework architecture consists of framework service layer, software agent layer and owner application layer. By using this application developed on the framework can autonomously and intelligently self-adapt to rapidly changing network connectivity and dynamic contexts of VSN users.


Keywords: VANET, VSN, software agent, mobile agent, agent migration


Edition: Volume 5 Issue 6, June 2016


Pages: 1709 - 1713


DOI: https://www.doi.org/10.21275/NOV164575


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Sona P, Divya M, "Rider: A Multi Layer Framework for Road Condition Estimation", International Journal of Science and Research (IJSR), Volume 5 Issue 6, June 2016, pp. 1709-1713, https://www.ijsr.net/getabstract.php?paperid=NOV164575, DOI: https://www.doi.org/10.21275/NOV164575

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