Compression and storage schemes in a sensor network with spatial and temporal coding techniques

You Chiun Wang*, Yao Yu Hsieh, Yu-Chee Tseng

*Corresponding author for this work

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

16 Scopus citations

Abstract

Wireless sensor networks provide a convenient manner to monitor the physical environments. How to extend the network lifetime by reducing the amount of message transmissions is a critical issue. In this paper, we propose a multi-resolution compression and storage (MCS) framework to compress and preserve sensing data in a wireless sensor network. Our MCS framework adopts spatial and temporal compression schemes to reduce the amount of message transmissions, so the network lifetime can be prolonged and the network congestion can be alleviated. In addition, we also develop a storage mechanism to maintain sensing data in sensor nodes, so that users can query more detailed data when necessary. Our proposed methods consider the hardware limitations of sensor nodes. We also implement a prototyping system on the MICAz Mote platform.

Original languageEnglish
Title of host publication2008 IEEE 67th Vehicular Technology Conference-Spring, VTC
Pages148-152
Number of pages5
DOIs
StatePublished - 28 Jul 2008
Event2008 IEEE 67th Vehicular Technology Conference-Spring, VTC - Marina Bay, Singapore
Duration: 11 May 200814 May 2008

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2008 IEEE 67th Vehicular Technology Conference-Spring, VTC
CountrySingapore
CityMarina Bay
Period11/05/0814/05/08

Keywords

  • Data correlation
  • Message compression
  • Pervasive computing
  • Sensor data management
  • Wireless sensor networks

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    Wang, Y. C., Hsieh, Y. Y., & Tseng, Y-C. (2008). Compression and storage schemes in a sensor network with spatial and temporal coding techniques. In 2008 IEEE 67th Vehicular Technology Conference-Spring, VTC (pp. 148-152). [4525599] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECS.2008.43