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Effektiviserer kommunikasjonen i the Internet of Things

César Asensio Marco disputerer for ph.d.-graden med avhandlingen “Network Topology and Protocol Design for Efficient Consensus in Sensor Networks” onsdag 22. mars 2017. (Foto: Privat)

In this work, when communications between devices are symmetric and synchronous, different protocols and mechanisms are presented to improve the performance of certain type of distributed algorithms called consensus algorithms, which form the basis of many other distributed inference tasks.

César Asensio Marco

Ph.d.-kandidat

Stadig flere enheter rundt oss har kapasitet til å kommunisere med andre enheter, som kjøleskapet og mobiltelefonen. César Asensio Marco forsker på å gjøre slik kommunikasjon mer effektiv.

César Asensio Marco disputerer for ph.d.-graden med avhandlingen “Network Topology and Protocol Design for Efficient Consensus in Sensor Networks” onsdag 22. mars 2017. Han har fulgt doktorgradsprogrammet ved Fakultet for teknologi og realfag med spesialisering i IKT.

Slik beskriver kandidaten selv essensen i avhandlingen:

Network Topology and Protocol Design for Efficient Consensus in Sensor Networks

Today, in the era of the Internet of Things, more and more sensorized devices with access to information of the environment are starting to be interconnected through wireless networks and Internet. The Internet of Things has the potential to connect pretty much everything, including home appliances, wearable devices, coffee makers, medical equipment, vehicles, and anything else with a power source or energy harvesting capabilities.

Improved collaboration

The proper collaboration of all these devices for the resolution of complex tasks offers an extraordinary potential. This collaboration allows to improve the computing capacity of individual devices and to increase their intelligence by having more information coming from other elements of the Internet of Things.

In this context, efficient algorithms for the distributed computation of global results are crucial to carry out such collaboration, providing a standardized way to solve different complex tasks such as the ones commonly appearing in the distributed control of industrial and agricultural processes.

In this work, when communications between devices are symmetric and synchronous, different protocols and mechanisms are presented to improve the performance of certain type of distributed algorithms called consensus algorithms, which form the basis of many other distributed inference tasks.

In particular, several topological optimization methodologies are proposed to improve how the communications between the different devices are performed, reducing the energy and the time required to solve any consensus-based task.

Consensus-problem

The topologies resulting from applying this new methodology are related to different complex networks models, showing how the variation of different parameters affect their final structure. In addition, two main consensus-based tasks, such as the distributed detection of a known signal and the estimation of an unknown parameter, are optimized to illustrate the performance of the proposed methodology.

Under asymmetric and asynchronous communications, several mechanisms are proposed to solve the consensus problem with a certain degree of accuracy. In particular, a new algorithm is provided to exploit the residual information appeared in every asymmetric exchange in order to reduce the consensus error and improve its convergence. Additionally, several cross-layer techniques are proposed in the medium access layer such that the estimation performed presents statistical benefits that lead to reducing the consensus error.

Disputasfakta:

César Asensio Marco disputerer for ph.d.-graden med avhandlingen “Network Topology and Protocol Design for Efficient Consensus in Sensor Networks” onsdag 22. mars 2017. Han har fulgt doktorgradsprogrammet ved Fakultet for teknologi og realfag med spesialisering i IKT. (Foto: Privat)

César Asensio Marco disputerer for ph.d.-graden med avhandlingen “Network Topology and Protocol Design for Efficient Consensus in Sensor Networks” onsdag 22. mars 2017. Han har fulgt doktorgradsprogrammet ved Fakultet for teknologi og realfag med spesialisering i IKT. (Foto: Privat)

Kandidaten: César Asensio Marco received the B.S. degree in Computer Science and in Telecommunications from the University of Valencia, Spain, in 2006, and the M.Sc. in Electrical Engineering in 2008. He worked as a research assistant at University of Valencia for five years, participating in several national and international projects during that time. His PhD study was performed at the University of Agder, Norway, within the WISENET Lab, in the area of cooperative signal processing for sensor networks in several applications.

Prøveforelesning og disputas finner sted i Rom C2 040, Campus Grimstad

Instituttleder Folke Haugland, Institutt for IKT, leder disputasen.

Tid for prøveforelesning: Onsdag 22. mars 2017 kl 10:00

Oppgitt emne for prøveforelesning: “Distributed optimization using consensus methods

Tid for disputas: Onsdag 22. mars 2017 kl 12:00

Tittel på avhandling: “Network Topology and Protocol Design for Efficient Consensus in Sensor Networks

Søk etter avhandlingen i AURA - Agder University Research Archive, som er et digitalt arkiv for vitenskapelige artikler, avhandlinger og masteroppgaver fra ansatte og studenter ved Universitetet i Agder. AURA blir jevnlig oppdatert.

Opponenter:

Førsteopponent: Førsteamanuensis Carlo Fischione, Kungliga Tekniska Högskulen, Stockholm

Annenopponent: Førsteamanuensis Alba Pagès-Zamora, Det Polytekniske Universitet i Catalonia, Spania

Bedømmelseskomitéen er ledet av professor Andreas Prinz, UiA.

Veileder i doktorgradsarbeidet var professor Baltasar Beferull Lozano, UiA