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        <datestamp>2026-09-15T15:36:05Z</datestamp>
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          <dc:title>Data for FlockLab Testbed Profile</dc:title>
          <dc:creator>Matthew S. Bradbury (24811657)</dc:creator>
          <dc:subject>Internet of things</dc:subject>
          <dc:subject>Wireless sensor networks</dc:subject>
          <dc:subject>Cyber intelligence (Computer security)</dc:subject>
          <dc:subject>Migrated from ePrints</dc:subject>
          <dc:description>For research in Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), while many protocols are either analysed mathematically or simulated to assess performance, it has become necessary that they are tested on hardware in real world environments. Algorithms are often validated in either (i) a densely connected net-work or (ii) a sparsely connected network. The majority of existing test beds have implemented dense networks, making evaluation and validation of certain protocols, such as spatially-redundant source location privacy (SLP) protocols, challenging. We explore the use of transmission power to achieve network sparsity and present the results of such experiments performed on the FlockLab test bed. Based upon our experience in using FlockLab, we also identify additional aspects of testbed performance that need to be monitored to ensure reliable and reproducible results.&lt;br&gt;&lt;br&gt;Data record contains a single data file in .7z format. Profile results of the FlockLab testbed. Three situations are investigated: 1. Where the sensor nodes perform no actions 2. Where the sensor nodes continuously read and report background noise levels 3. Where a single node broadcasts and all other nodes listen for these packets. This is repeated for all nodes in the network. Also logged is the current consumption during these activities. Scripts to analyse these results can be found at the 'Other Repository' link.</dc:description>
          <dc:date>2019-01-09T00:00:00Z</dc:date>
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          <dc:identifier>10.82444/warw.33803356.v1</dc:identifier>
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