Exploring energy-efficient human probes for high-fidelity sensing in urban environments

Niwat Thepvilojanapong, Shin'ichi Konomi, Jun'ichi Yura, Takeshi Iwamoto, Susanna Pirttikangas, Yasuyuki Ishida, Masayuki Iwai, Yoshito Tobe, Hiroyuki Yokoyama, Jin Nakazawa, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Portable sensory devices carried by humans-which are referred to as Human Probes-facilitate easy-to-use sensing and monitoring of urban areas. However, when each Human Probe individually senses and transmits information, the sensing activity is inefficient in terms of energy consumption. In this paper, we propose an Architecture of Quality-enhanced Urban Information Blending and Aggregation (Aquiba), in which the sensing activities carried out by the Human Probes are adjusted autonomously under different conditions. Aquiba involves cooperative sensing that helps in achieving high-fidelity sensing while minimizing overall energy consumption. To demonstrate the validity of cooperative sensing, we implemented a prototype device by using a commercial off-the-shelf mobile phone and conducted a field experiment. The experimental results show that Aquiba is capable of providing high-fidelity sensing and reducing energy consumption efficiently.

Original languageEnglish
Title of host publicationISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Pages61-66
Number of pages6
DOIs
Publication statusPublished - Dec 1 2009
Externally publishedYes
Event2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009 - Melbourne, Australia
Duration: Dec 7 2009Dec 10 2009

Publication series

NameISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Other

Other2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009
CountryAustralia
CityMelbourne
Period12/7/0912/10/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Software

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