3 research outputs found
Progressive introduction of network softwarization in operational telecom networks: advances at architectural, service and transport levels
Technological paradigms such as Software Defined Networking, Network Function
Virtualization and Network Slicing are altogether offering new ways of providing services.
This process is widely known as Network Softwarization, where traditional operational
networks adopt capabilities and mechanisms inherit form the computing world, such as
programmability, virtualization and multi-tenancy.
This adoption brings a number of challenges, both from the technological and operational
perspectives. On the other hand, they provide an unprecedented flexibility opening
opportunities to developing new services and new ways of exploiting and consuming telecom
networks.
This Thesis first overviews the implications of the progressive introduction of network
softwarization in operational networks for later on detail some advances at different levels,
namely architectural, service and transport levels. It is done through specific exemplary use
cases and evolution scenarios, with the goal of illustrating both new possibilities and existing
gaps for the ongoing transition towards an advanced future mode of operation.
This is performed from the perspective of a telecom operator, paying special attention on
how to integrate all these paradigms into operational networks for assisting on their evolution
targeting new, more sophisticated service demands.Programa de Doctorado en IngenierĂa Telemática por la Universidad Carlos III de MadridPresidente: Eduardo Juan Jacob Taquet.- Secretario: Francisco Valera Pintor.- Vocal: Jorge LĂłpez VizcaĂn
Smart Sensor Technologies for IoT
The recent development in wireless networks and devices has led to novel services that will utilize wireless communication on a new level. Much effort and resources have been dedicated to establishing new communication networks that will support machine-to-machine communication and the Internet of Things (IoT). In these systems, various smart and sensory devices are deployed and connected, enabling large amounts of data to be streamed. Smart services represent new trends in mobile services, i.e., a completely new spectrum of context-aware, personalized, and intelligent services and applications. A variety of existing services utilize information about the position of the user or mobile device. The position of mobile devices is often achieved using the Global Navigation Satellite System (GNSS) chips that are integrated into all modern mobile devices (smartphones). However, GNSS is not always a reliable source of position estimates due to multipath propagation and signal blockage. Moreover, integrating GNSS chips into all devices might have a negative impact on the battery life of future IoT applications. Therefore, alternative solutions to position estimation should be investigated and implemented in IoT applications. This Special Issue, “Smart Sensor Technologies for IoT” aims to report on some of the recent research efforts on this increasingly important topic. The twelve accepted papers in this issue cover various aspects of Smart Sensor Technologies for IoT
Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm
Abstract— Online transportation has become a basic
requirement of the general public in support of all activities to go
to work, school or vacation to the sights. Public transportation
services compete to provide the best service so that consumers
feel comfortable using the services offered, so that all activities
are noticed, one of them is the search for the shortest route in
picking the buyer or delivering to the destination. Node
Combination method can minimize memory usage and this
methode is more optimal when compared to A* and Ant Colony
in the shortest route search like Dijkstra algorithm, but can’t
store the history node that has been passed. Therefore, using
node combination algorithm is very good in searching the
shortest distance is not the shortest route. This paper is
structured to modify the node combination algorithm to solve the
problem of finding the shortest route at the dynamic location
obtained from the transport fleet by displaying the nodes that
have the shortest distance and will be implemented in the
geographic information system in the form of map to facilitate
the use of the system.
Keywords— Shortest Path, Algorithm Dijkstra, Node
Combination, Dynamic Location (key words