body: <record xmlns="http://www.openarchives.org/OAI/2.0/">
                          <header>
                              <identifier>oai:research.chalmers.se:208841</identifier>
                              <datestamp>2018-01-25T19:42:47Z</datestamp>
                              <setSpec>openaire</setSpec>
                          </header>
                          <metadata>
                              <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
                                  <dc:title>Distributed Compressed Sensing for Sensor Networks with Packet Erasures</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/208841</dc:identifier>
                                  <dc:date>2014</dc:date>
                                              <dc:creator>LINDBERG, CHRISTOPHER</dc:creator>
                                              <dc:creator>Graell i Amat, Alexandre</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                                  <dc:subject>Communication Systems</dc:subject>
                                          <dc:description>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.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/EC/FP7/258418//Cooperative Situational Awareness for Wireless Networks (COOPNET)/</dc:relation>
                                                  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/GLOCOM.2014.7036777</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>2014 IEEE Global Communications Conference, GLOBECOM 2014; Austin; United States; 8 December 2014 through 12 December 2014</dc:source>
                                                      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:language>eng</dc:language>
                                  <dc:audience>Researchers</dc:audience>
                                  <dc:format>application/pdf</dc:format>
                              </oai_dc:dc>
                          </metadata>
                      </record>