Distributed Compressed Sensing for Sensor Networks with Packet Erasures
Paper i proceeding, 2014

We study two approaches to distributed compressed sensing for in-network data compression and signal reconstruc- tion at a sink. Communication to the sink is considered to be bandwidth-constrained due to the large number of devices. By using distributed compressed sensing for compression of the data in the network, the communication cost (bandwidth usage) to the sink can be decreased at the expense of delay induced by the local communication. We investigate the relation between cost and delay given a certain reconstruction performance requirement when using basis pursuit denoising for reconstruction. Moreover, we analyze and compare the performance degradation due to erased packets sent to the sink.

Författare

CHRISTOPHER LINDBERG

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Alexandre Graell i Amat

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Henk Wymeersch

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

2014 IEEE Global Communications Conference, GLOBECOM 2014; Austin; United States; 8 December 2014 through 12 December 2014

13-19 7036777

Coopnet

Europeiska kommissionen (FP7), 2011-05-01 -- 2016-04-30.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

DOI

10.1109/GLOCOM.2014.7036777

ISBN

978-147993511-6