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      <dc:title>Self-Organizing and Scalable Routing Protocol (SOSRP) for Underwater Acoustic Sensor Networks</dc:title>
      <dc:creator>Kumar Hindu, Sateesh</dc:creator>
      <dc:creator>Hyder, Waheeduddin</dc:creator>
      <dc:creator>Luque-Nieto, Miguel Ángel</dc:creator>
      <dc:creator>Otero-Roth, Pablo</dc:creator>
      <dc:creator>Poncela-González, Javier</dc:creator>
      <dc:description>Underwater Acoustic Sensor Networks (UASN) have two important limitations: a very&#xd;
aggressive (marine) environment, and the use of acoustic signals. This means that the techniques for&#xd;
terrestrial wireless sensor networks (WSN) are not applicable. This paper proposes a routing protocol&#xd;
called “Self-Organizing and Scalable Routing Protocol” (SOSRP) which is decentralized and based on&#xd;
tables residing in each node. A combination of the hop value to the collector node and the distance is&#xd;
used as a criterion to create routes leading to the sink node. The expected functions of the protocol&#xd;
include self-organization of the routes, tolerance to failures and detection of isolated nodes. Through&#xd;
the implementation of SOSRP in Matlab and a model of propagation and energy being appropriate&#xd;
for marine environment, performance results are obtained in different scenarios (varying both nodes&#xd;
and transmission range) that include parameters such as end-to-end packet delay, consumption of&#xd;
energy or length of the created routes (with and without failure). The results obtained show a stable,&#xd;
reliable and suitable operation for the deployment and operation of nodes in UASN networks.</dc:description>
      <dc:date>2019-07-30T09:04:13Z</dc:date>
      <dc:date>2019-07-30T09:04:13Z</dc:date>
      <dc:date>2019-07-16</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Hindu, S.K.; Hyder, W.; Luque-Nieto, M.-A.; Poncela, J.; Otero, P. Self-Organizing and Scalable Routing Protocol (SOSRP) for Underwater Acoustic Sensor Networks. Special Issue "Underwater Sensor Networks: Applications, Advances and Challenges", Sensors 2019, 19, Article no.3130. DOI:10.3390/s19143130</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/18181</dc:identifier>
      <dc:identifier>10.3390/s19143130</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
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