This thesis is focused on multi-sensor event detection schemes in Wireless Sensor Network
(WSN). In the WSN, sensors individually take their observations, do some initial local processing
and then send the result to the fusion center. Apart from this information, the fusion
center may have prior information such as the known positions of sensors, the topology of
the network or structures, features and patterns present in the received observations. In
order to achieve better detection performance, the fusion center must exploit all this prior
information in the best possible way.
Keeping this in mind, in this thesis we focus on the exploitation of available a-priori
information with the aim of developing enhanced and robust detection mechanisms. For
instance, we exploit the fact that in most applications, the signal emitted from the event
becomes a local physical phenomenon that only a"ects a small subset of sensors. Moreover,
the a"ected sensors will be located close to the event as well as close to each other in the form
of a spatial cluster. Hence, novel detection schemes are presented with a two-fold motivation:
!rst, the exploitation of the relevant set of sensors, which helps in rejecting the noise; second,
to take advantage of the signal correlation by using a-priori information about the positions
of sensors.
Based on these results, we move one step further and concentrate on the exploitation of
both spatial and temporal correlation in the received observations. In this case, we propose
detection schemes that explore di"erent matrix structures embedded in the observed covariance
matrix, which naturally arise due to the underlying topologies of the multiple sensors.
Numerical results are presented for all of the proposed schemes that show important
advantages compared to traditional schemes.
| Identifer | oai:union.ndltd.org:TDX_UAB/oai:www.tdx.cat:10803/134687 |
| Date | 31 March 2014 |
| Creators | Ali, Sadiq |
| Contributors | López Salcedo, José Antonio, Seco Granados, Gonzalo, Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes |
| Publisher | Universitat Autònoma de Barcelona |
| Source Sets | Universitat Autònoma de Barcelona |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis, info:eu-repo/semantics/publishedVersion |
| Format | 164 p., application/pdf |
| Source | TDX (Tesis Doctorals en Xarxa) |
| Rights | ADVERTIMENT. L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by/3.0/es/, info:eu-repo/semantics/openAccess |
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