Asynchronous training in SANET

  • Authors:
  • Ferruccio Barsi;Francesco Betti Sorbelli;Roberto Ciotti;Cristina M. Pinotti;Alan A. Bertossi;Stephan Olariu

  • Affiliations:
  • University of Perugia, Perugia, Italy;University of Perugia, Perugia, Italy;University of Perugia, Perugia, Italy;University of Perugia, Perugia, Italy;University of Bologna, Bologna, Italy;Old Dominion University, Norfolk, VA

  • Venue:
  • Proceedings of the First ACM workshop on Sensor and actor networks
  • Year:
  • 2007

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Abstract

Scalable energy-efficient training protocols are proposed for networks consisting of Sensors and Actors (SANET), where the sensors are initially anonymous and unaware of their location. The protocols are based on an intuitive coordinate system imposed onto the deployment area which partitions subsets of the sensor population into clusters. The protocols are asynchronous, in the sense that the sensors wake up for the first time at random, then alternate between sleep and awake periods both of fixed length, and no explicit synchronization is performed between them and the actor. Theoretical properties are stated under which the training of all the sensors is possible. Moreover, an experimental evaluation of the performance is presented, showing that the protocols are lightweight and flexible.