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   <dc:title>The deployment of extra relay nodes around the sink in order to solve the energy imbalanced problem in Wireless Sensor Networks</dc:title>
   <dc:creator>Rodríguez Ramos, Hanz</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors</dc:contributor>
   <dc:contributor>Barceló Ordinas, José María</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica</dc:subject>
   <dc:subject>Sensor networks</dc:subject>
   <dc:subject>Wireless communication systems</dc:subject>
   <dc:subject>Xarxes de sensors</dc:subject>
   <dc:subject>Comunicació sense fil, Sistemes de</dc:subject>
   <dc:description>Wireless sensor networks are an emerging technology that has recently&#xd;
gained attention for their potential use in many applications such disaster&#xd;
management, combat field reconnaissance, border protection, object localization,&#xd;
harbors, coal mines, and so on.&#xd;
Sensors in these kind of applications are expected to be remotely deployed&#xd;
and to operate autonomously in unattended environments.&#xd;
Since sensors typically operate on batteries and are often deployed in&#xd;
harsh environment where human operators cannot access them easily, much&#xd;
of the research on wireless sensor networks has focused on the energy depletion&#xd;
in order to achieve energy efficiency to extend the network lifetime.&#xd;
In multihop wireless networks that are often characterized by many to&#xd;
one traffic patterns, it is very common to find problems related to energy&#xd;
depletion. Along the network, sensors experiment different traffic intensities&#xd;
and energy depletion rates. Usually, the sensors near the sink tend to&#xd;
deplete their energy sooner because they act as data originators and data&#xd;
relayers and are required to forward a large amount of traffic of the most&#xd;
remote sensors to the sink while the sensors located in the periphery of the&#xd;
network remain much of the time inactive.&#xd;
Therefore, these sensors located close to the sink tend to die early, leaving&#xd;
areas of the network completely disconnected from the sink reducing&#xd;
the functional network lifetime.&#xd;
In order to achieve equal power consumption at different levels of our&#xd;
network, we have decided to add extra relay nodes to reduce and balance&#xd;
the traffic load that normal nodes have to carry. As mentioned above, each&#xd;
level within the network faces a different amount of traffic, which becomes&#xd;
more intense as we approach the interior levels. This behavior causes that&#xd;
the external nodes, with less traffic to handle, stay more time at rest while&#xd;
the nodes in the inner rings face a great amount of traffic which forces them&#xd;
to be more active, generating a more accelerated exhaustion, reason why&#xd;
nodes located in the inner rings exhaust its battery faster causing the lifetime&#xd;
of the network to come to an end.&#xd;
This work presents a comprehensive analysis on the maximum achievable&#xd;
sensor network lifetime for different deployment strategies (linear, quadratic,&#xd;
and exponential ) in order to equalize the energy consumption rates of all&#xd;
nodes. More specifically the deployment of extra relay nodes around the&#xd;
sink in order to solve the energy imbalanced problem and guarantee that&#xd;
all nodes have balanced energy consumption and die almost at the same&#xd;
time.</dc:description>
   <dc:date>2017-04-19</dc:date>
   <dc:type>Master thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/2117/106010</dc:identifier>
   <dc:identifier>125434</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>Open Access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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