TomuDB: multi-resolution queries in heterogeneous sensor networks through overlay network

  • Authors:
  • Yoh Shiraishi;Niwat Thepvilojanapong;Yosuke Tamura;Tatsuro Endo;Koichi Yamada;Nayuta Ishii;Hiroki Ishizuka;Keisuke Kanai;Yoshito Tobe

  • Affiliations:
  • CREST, JST, Japan;KDDI R&D Laboratories Inc., Japan;CREST, JST, Japan;CREST, JST, Japan;CREST, JST, Japan;CREST, JST, Japan;CREST, JST, Japan;Tokyo Denki University, Japan;CREST, JST, Japan

  • Venue:
  • Proceedings of the 5th international conference on Embedded networked sensor systems
  • Year:
  • 2007

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Abstract

Querying in heterogeneous sensor networks is a challenging research issue due to a variety of real-world queries depending on users' preferences. Examples of queries are weather, nearby restaurants, navigation, etc. Users may ask for a breezy path starting from distinct points to distinct train stations. Sensing data collected from wide areas (city or country level) are needed to provide the real-world search as a service for users. Therefore, another challenge is a collaboration of heterogenous sensor networks because deploying sensors in wide areas is impractical. SensorMap [1] collects sensing data from independent sensor networks by allowing data owners to publish their data on the web. Sensing data from all owners are sent to a centric storage in SensorMap. However, distributed data storage is likely to be an efficient solution comparing to a centric storage in which bottleneck always occurs.