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                          <header>
                              <identifier>oai:research.chalmers.se:503903</identifier>
                              <datestamp>2018-10-12T11:13:28Z</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>Collaborative Sensor Network Localization: Algorithms and Practical Issues</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/a9f1dd03-c6bd-4a43-8e29-da8314666f16</dc:identifier>
                                  <dc:date>2018</dc:date>
                                              <dc:creator>Buehrer, R. Michael</dc:creator>
                                              <dc:creator>Wymeersch, Henk</dc:creator>
                                              <dc:creator>Vaghefi, Reza Monir</dc:creator>
                                                  <dc:subject>Computer Engineering</dc:subject>
                                                  <dc:subject>Communication Systems</dc:subject>
                                                  <dc:subject>Computer Systems</dc:subject>
                                              <dc:subject>5G</dc:subject>
                                              <dc:subject>collaborative localization</dc:subject>
                                              <dc:subject>cooperative localization</dc:subject>
                                              <dc:subject>DOA</dc:subject>
                                              <dc:subject>TOA</dc:subject>
                                              <dc:subject>IoT</dc:subject>
                                              <dc:subject>localization</dc:subject>
                                              <dc:subject>sensor networks</dc:subject>
                                              <dc:subject>ranging</dc:subject>
                                              <dc:subject>sensor network localization</dc:subject>
                                          <dc:description>Emerging communication network applications including fifth-generation (5G) cellular and the Internet-of-Things (IoT) will almost certainly require location information at as many network nodes as possible. Given the energy requirements and lack of indoor coverage of Global Positioning System (GPS), collaborative localization appears to be a powerful tool for such networks. In this paper, we survey the state of the art in collaborative localization with an eye toward 5G cellular and IoT applications. In particular, we discuss theoretical limits, algorithms, and practical challenges associated with collaborative localization based on range-based as well as range-angle-based techniques.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/636537-HIGHTS-RIA//High precision positioning for cooperative ITS applications/</dc:relation>
                                                                  <dc:relation>info:eu-repo/grantAgreement/5GCAR//Fifth Generation Communication Automotive Research and innovation (5GCAR)/</dc:relation>
                                                  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/JPROC.2018.2829439</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>Proceedings of the IEEE (0018-9219) vol.106(2018)</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>