Citation
Jinseok Yang, Sameer Tilak, Tajana Simunic Rosing. "A Novel Protocol for Adaptive Broadcasting of Sensor Data in Urban Scenarios". IEEE GlobeCom 2013, 2013.

Abstract
In a number of sensing applications users are only interested in the data relevant to their present location and current type. This paper presents a novel distributed and low-power protocol that allows mobile users, while moving around the deployed stationary sensor networks, access data from the sensors in their vicinity. As users acknowledge the data, sensors use these acknowledges as a statistical basis to estimate users’ mobility. Sensors dynamically adjust their broadcast rate based on estimated users’ mobility pattern. To evaluate the performance of our protocol, we use a well-grounded and realistic pedestrian mobility models to generate the user movement patterns and a realistic radio model. Our approach does not require any additional hardware or does not assume any control over user’s mobility. We analyzed the performance of the proposed protocol for a single sensor and network consisting of 10 sensors. The results show a decrease in power consumption by a factor of 2x to 8x (single sensor) and 2x to 16x (10 node sensor network) when compared to the existing protocols.

Electronic downloads

• http://seelab.ucsd.edu/~jinsuksfa/Papers/GlobeCom2013.pdf

• HTML

  Jinseok Yang, Sameer Tilak, Tajana Simunic Rosing. <a
  href="http://www.terraswarm.org/pubs/99.html"
  >A Novel Protocol for Adaptive Broadcasting of Sensor
  Data in Urban Scenarios</a>, IEEE GlobeCom 2013, 2013.

• Plain text

  Jinseok Yang, Sameer Tilak, Tajana Simunic Rosing. "A
  Novel Protocol for Adaptive Broadcasting of Sensor Data in
  Urban Scenarios". IEEE GlobeCom 2013, 2013.

• BibTeX

  @inproceedings{YangTilakRosing13_NovelProtocolForAdaptiveBroadcastingOfSensorDataInUrban,
      author = {Jinseok Yang and Sameer Tilak and Tajana Simunic
                Rosing},
      title = {A Novel Protocol for Adaptive Broadcasting of
                Sensor Data in Urban Scenarios},
      booktitle = {IEEE GlobeCom 2013},
      year = {2013},
      abstract = {In a number of sensing applications users are only
                interested in the data relevant to their present
                location and current type. This paper presents a
                novel distributed and low-power protocol that
                allows mobile users, while moving around the
                deployed stationary sensor networks, access data
                from the sensors in their vicinity. As users
                acknowledge the data, sensors use these
                acknowledges as a statistical basis to estimate
                users’ mobility. Sensors dynamically adjust
                their broadcast rate based on estimated users’
                mobility pattern. To evaluate the performance of
                our protocol, we use a well-grounded and realistic
                pedestrian mobility models to generate the user
                movement patterns and a realistic radio model. Our
                approach does not require any additional hardware
                or does not assume any control over user’s
                mobility. We analyzed the performance of the
                proposed protocol for a single sensor and network
                consisting of 10 sensors. The results show a
                decrease in power consumption by a factor of 2x to
                8x (single sensor) and 2x to 16x (10 node sensor
                network) when compared to the existing protocols.},
      URL = {http://terraswarm.org/pubs/99.html}
  }
  

Posted by Mila MacBain on 21 Aug 2013.