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.
Asyncronous training in SANET
Barsi, Ferruccio;Betti Sorbelli, Francesco;Pinotti, Maria Cristina;
2007
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
