A Data Compression Technique for Sensor Networks with Dynamic Bandwidth Allocation

  • Authors:
  • Song Lin;Dimitrios Gunopulos;Vana Kalogeraki;Stefano Lonardi

  • Affiliations:
  • University of California at Riverside;University of California at Riverside;University of California at Riverside;University of California at Riverside

  • Venue:
  • TIME '05 Proceedings of the 12th International Symposium on Temporal Representation and Reasoning
  • Year:
  • 2005

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Abstract

With the technical development of low-power embedded communication systems, thousands of sensor nodes would be seamlessly embedded in the physical world and form a wireless sensor network (WSN). These sensors monitor a variety of characteristics of the environment such as sound, temperature, humidity, pressure, noise levels, movement, etc.