PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Barsi F., Bertossi A. A., Betti Sorbelli F., Ciotti R., Olariu S., Pinotti M. C. Asynchronous training in wireless sensor networks. Kutylowski Miroslaw, Chicon Jacec, Kubiac Przemylsaw (eds.). (Lecture Notes in Computer Science, vol. 4837). Berlin / Heidelberg: Springer Verlag, 2008.
 
 
Abstract
(English)
A scalable energy-efficient training protocol is proposed for massively-deployed sensor networks, where sensors are initially anony- mous and unaware of their location. The protocol is based on an intuitive coordinate system imposed onto the deployment area which partitions the anonymous sensors into clusters. The protocol is 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 sink. Theo- retical properties are stated under which the training of all the sensors is possible. Moreover, a worst-case analysis as well as an experimental evaluation of the performance is presented, showing that the protocol is lightweight and flexible.
URL: http://www.springerlink.com/content/3j1l2061h2517052/fulltext.pdf
DOI: 10.1007/978-3-540-77871-4
Subject Wireless Sensor Network
C.2.1 Network Architecture and Design
C.2.2 Network Protocols


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