@article{andr2005measuring,
  abstract = {This publication explores the degree of accuracy to which the propagation delay of WLAN packets can be measured using today’s commercial, inexpensive equipment. The aim is to determine the distance between two wireless nodes for location sensing applications. We conducted experiments in which we measured the time difference between sending a data packet and receiving the corresponding immediate acknowledgement. We found the propagation delays correlate closely with distance, having only a measurement error of a few meters. Furthermore, they are more precise than received signal strength indications. To overcome the low time resolution of the given hardware timers, various statistical methods are applied, developed and analyzed. For example, we take advantage of drifting clocks to determine propagation delays that are forty times smaller than the clocks’ quantization resolution. Our approach also determines the frequency offset between remote and local crystal clocks.
ER  -},
  author = {Günther, André and Hoene, Christian},
  interhash = {9c2567a32488c5b74fa92197cffd97eb},
  intrahash = {ba15c6fcd227670705635293a4cf7206},
  journal = {NETWORKING 2005},
  pages = {768--779},
  title = {Measuring Round Trip Times to Determine the Distance Between WLAN Nodes},
  url = {http://dx.doi.org/10.1007/11422778_62},
  year = 2005
}

@inproceedings{breslin2009integrating,
  abstract = {Sensors have begun to infiltrate people's everyday lives. They can provide information about a car's condition, can enable smart buildings, and are being used in various mobile applications, to name a few. Generally, sensors provide information about various aspects of the real world. Online social networks, another emerging trend over the past six or seven years, can provide insights into the communication links and patterns between people. They have enabled novel developments in communications as well as transforming the Web from a technical infrastructure to a social platform, very much along the lines of the original Web as proposed by Tim Berners-Lee, which is now often referred to as the Social Web. In this position paper, we highlight some of the interesting research areas where sensors and social networks can fruitfully interface, from sensors providing contextual information in context-aware and personalized social applications, to using social networks as "storage infrastructures" for sensor information.},
  author = {Breslin, John G. and Decker, Stefan and Hauswirth, Manfred and Hynes, Gearoid and Phuoc, Danh Le and Passant, Alexandre and Polleres, Axel and Rabsch, Cornelius and Reynolds, Vinny},
  booktitle = {Proceedings on the W3C Workshop on the Future of Social Networking},
  interhash = {8a9846d06fcb3d48e5f081801a957565},
  intrahash = {e5286c49f4a49bb8752d473f126824dd},
  title = {Integrating Social Networks and Sensor Networks},
  url = {http://www.w3.org/2008/09/msnws/papers/sensors.html},
  year = 2009
}