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Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks
August 2009 (vol. 20 no. 8)
pp. 1216-1230
ASCII Text
x 
 
Ferruccio Barsi, Alan A. Bertossi, Francesco Betti Sorbelli, Roberto Ciotti, Stephan Olariu, M. Cristina Pinotti, "Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 8, pp. 1216-1230, August, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2008.223,
author = {Ferruccio Barsi and Alan A. Bertossi and Francesco Betti Sorbelli and Roberto Ciotti and Stephan Olariu and M. Cristina Pinotti},
title = {Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {20},
number = {8},
issn = {1045-9219},
year = {2009},
pages = {1216-1230},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2008.223},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks
IS - 8
SN - 1045-9219
SP1216
EP1230
EPD - 1216-1230
A1 - Ferruccio Barsi,
A1 - Alan A. Bertossi,
A1 - Francesco Betti Sorbelli,
A1 - Roberto Ciotti,
A1 - Stephan Olariu,
A1 - M. Cristina Pinotti,
PY - 2009
KW - Wireless sensor networks
KW - actors
KW - corona training
KW - localization
KW - network protocols
KW - design and analysis of algorithms.
VL - 20
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
Ferruccio Barsi, University of Perugia, Perugia
Alan A. Bertossi, University of Bologna, Bologna
Francesco Betti Sorbelli, University of Perugia, Perugia
Roberto Ciotti, University of Perugia, Perugia
Stephan Olariu, Old Dominion University, Norfolk
M. Cristina Pinotti, University of Perugia, Perugia
Scalable energy-efficient training protocols are proposed for wireless networks consisting of sensors and a single actor, 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 the sensors 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, both worst-case and average case analyses of the performance, as well as an experimental evaluation, are presented showing that the protocols are lightweight and flexible.

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Index Terms:
Wireless sensor networks, actors, corona training, localization, network protocols, design and analysis of algorithms.
Citation:
Ferruccio Barsi, Alan A. Bertossi, Francesco Betti Sorbelli, Roberto Ciotti, Stephan Olariu, M. Cristina Pinotti, "Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 8, pp. 1216-1230, Aug. 2009, doi:10.1109/TPDS.2008.223
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