Communication minimization for in-network processing in body sensor networks: a buffer assignment technique

  • Authors:
  • Hassan Ghasemzadeh;Nisha Jain;Marco Sgroi;Roozbeh Jafari

  • Affiliations:
  • University of Texas at Dallas, Richardson, Texas;University of Texas at Dallas, Richardson, Texas;Wireless Sensor Networks Lab sponsored by Pirelli and Telcom Italia, Berkeley, CA;University of Texas at Dallas, Richardson, Texas

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2009

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Abstract

Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhance their wearability through reducing the size of the battery. In this paper, we develop an energy-efficient communication scheme that uses buffers to reduce the number of transmissions among the sensor nodes constrained to limited hardware resources. A direct acyclic graph is used to model the information flow. We define a communication optimization problem and solve it using convex optimization techniques. We present results that support the efficiency of the proposed technique.