Harvesting of Location-Specific Information Through WiFi Networks

  • Jong Hee Kang
  • Gaetano Borriello
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3987)


Ubiquitous computing requires ready access to information that is relevant to users’ context – especially information relevant to their current location. Applications on our personal devices should be able to autonomously and continuously harvest the information provided at that location and interrupt us only when it is important to do so. Currently, client devices are designed for explicit querying for information rather than continuous background harvesting of relevant information. To enable ubiquitous access to location-specific information, we can take advantage of the widespread deployment of WiFi networks. There is a wealth of location-specific information that network providers are willing to make publicly available to any users. However, today’s models for accessing wireless networks do not easily support this due primarily to concerns over security and bandwidth utilization. In this paper, we present and compare the different methods that can be applied to solve the problem of continuous background access to location-specific information. Specifically, we compare client-pull and server-push models and show how tradeoffs can be made involving privacy, power consumption on devices, and utilization of wireless bandwidth. We also present three applications and discuss how the tradeoffs affect their design.


Access Point Bandwidth Usage Client Device Broadcast Packet WiFi Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jong Hee Kang
    • 1
  • Gaetano Borriello
    • 1
    • 2
  1. 1.Department of Computer Science and EngineeringUniversity of WashingtonSeattleUSA
  2. 2.Intel Research SeattleSeattleUSA

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