5,156 research outputs found
Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions
Traditional power grids are being transformed into Smart Grids (SGs) to
address the issues in existing power system due to uni-directional information
flow, energy wastage, growing energy demand, reliability and security. SGs
offer bi-directional energy flow between service providers and consumers,
involving power generation, transmission, distribution and utilization systems.
SGs employ various devices for the monitoring, analysis and control of the
grid, deployed at power plants, distribution centers and in consumers' premises
in a very large number. Hence, an SG requires connectivity, automation and the
tracking of such devices. This is achieved with the help of Internet of Things
(IoT). IoT helps SG systems to support various network functions throughout the
generation, transmission, distribution and consumption of energy by
incorporating IoT devices (such as sensors, actuators and smart meters), as
well as by providing the connectivity, automation and tracking for such
devices. In this paper, we provide a comprehensive survey on IoT-aided SG
systems, which includes the existing architectures, applications and prototypes
of IoT-aided SG systems. This survey also highlights the open issues,
challenges and future research directions for IoT-aided SG systems
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navigation System
The location determination in obstructed area can be very challenging
especially if Global Positioning System are blocked. Users will find it
difficult to navigate directly on-site in such condition, especially indoor car
park lot or obstructed environment. Sometimes, it needs to combine with other
sensors and positioning methods in order to determine the location with more
intelligent, reliable and ubiquity. By using ubiquitous positioning in mobile
navigation system, it is a promising ubiquitous location technique in a mobile
phone since as it is a familiar personal electronic device for many people.
However, as research on ubiquitous positioning systems goes beyond basic
methods there is an increasing need for better comparison of proposed
ubiquitous positioning systems. System developers are also lacking of good
frameworks for understanding different options during building ubiquitous
positioning systems. This paper proposes taxonomy to address both of these
problems. The proposed taxonomy has been constructed from a literature study of
papers and articles on positioning estimation that can be used to determine
location everywhere on mobile navigation system. For researchers the taxonomy
can also be used as an aid for scoping out future research in the area of
ubiquitous positioning.Comment: 15 Pages, 3 figure
A Goal-based Framework for Contextual Requirements Modeling and Analysis
Requirements Engineering (RE) research often ignores, or presumes a uniform nature of the context in which the system operates. This assumption is no longer valid in emerging computing paradigms, such as ambient, pervasive and ubiquitous computing, where it is essential to monitor and adapt to an inherently varying context. Besides influencing the software, context may influence stakeholders' goals and their choices to meet them. In this paper, we propose a goal-oriented RE modeling and reasoning framework for systems operating in varying contexts. We introduce contextual goal models to relate goals and contexts; context analysis to refine contexts and identify ways to verify them; reasoning techniques to derive requirements reflecting the context and users priorities at runtime; and finally, design time reasoning techniques to derive requirements for a system to be developed at minimum cost and valid in all considered contexts. We illustrate and evaluate our approach through a case study about a museum-guide mobile information system
On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial development, providing users with new services and improved user experiences as well as offering a host of novel opportunities to various industries. However, 5G still faces many challenges. To address these challenges, international industrial, academic, and standards organizations have commenced research on sixth generation (6G) wireless communication systems. A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc. Although ITU-R has been working on the 6G vision and it is expected to reach a consensus on what 6G will be by mid-2023, the related global discussions are still wide open and the existing literature has identified numerous open issues. This paper first provides a comprehensive portrayal of the 6G vision, technical requirements, and application scenarios, covering the current common understanding of 6G. Then, a critical appraisal of the 6G network architecture and key technologies is presented. Furthermore, existing testbeds and advanced 6G verification platforms are detailed for the first time. In addition, future research directions and open challenges are identified for stimulating the on-going global debate. Finally, lessons learned to date concerning 6G networks are discussed
Enabling Personalized Composition and Adaptive Provisioning of Web Services
The proliferation of interconnected computing devices is fostering the emergence of environments where Web services made available to mobile users are a commodity. Unfortunately, inherent limitations of mobile devices still hinder the seamless access to Web services, and their use in supporting complex user activities. In this paper, we describe the design and implementation of a distributed, adaptive, and context-aware framework for personalized service composition and provisioning adapted to mobile users. Users specify their preferences by annotating existing process templates, leading to personalized service-based processes. To cater for the possibility of low bandwidth communication channels and frequent disconnections, an execution model is proposed whereby the responsibility of orchestrating personalized processes is spread across the participating services and user agents. In addition, the execution model is adaptive in the sense that the runtime environment is able to detect exceptions and react to them according to a set of rules
Low-Cost Bluetooth Mobile Positioning for Location-based Application
Bluetooth is a promising short-range radio network technology. We present a
low cost and easily deployed, scalable infrastructure for indoor location-based
computing of mobile devices based on Bluetooth technology. The system consists
of 2 main components, namely the Bluetooth (BT) Sensor System and the Central
Navigation System which have been developed using the JDK 6.0. The Bluetooth
Sensor System allows mobile devices whose Bluetooth mode is set to
discoverable, to be scanned and detected, and they receive customizable text
message of their positioning information, e.g. room identity. The positioning
information is also sent to the Central Navigation System which in turn
displays and updates the navigation map. The system is also used to track the
movement of different BT mobile devices within the implemented environment.Comment: 4 pages 3rd IEEE/IFIP International Conference in Central Asia on
Internet 2007, ICI 200
Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information
Automatic detection of public transport (PT) usage has important applications
for intelligent transport systems. It is crucial for understanding the
commuting habits of passengers at large and over longer periods of time. It
also enables compilation of door-to-door trip chains, which in turn can assist
public transport providers in improved optimisation of their transport
networks. In addition, predictions of future trips based on past activities can
be used to assist passengers with targeted information. This article documents
a dataset compiled from a day of active commuting by a small group of people
using different means of PT in the Helsinki region. Mobility data was collected
by two means: (a) manually written details of each PT trip during the day, and
(b) measurements using sensors of travellers' mobile devices. The manual log is
used to cross-check and verify the results derived from automatic measurements.
The mobile client application used for our data collection provides a fully
automated measurement service and implements a set of algorithms for decreasing
battery consumption. The live locations of some of the public transport
vehicles in the region were made available by the local transport provider and
sampled with a 30-second interval. The stopping times of local trains at
stations during the day were retrieved from the railway operator. The static
timetable information of all the PT vehicles operating in the area is made
available by the transport provider, and linked to our dataset. The challenge
is to correctly detect as many manually logged trips as possible by using the
automatically collected data. This paper includes an analysis of challenges due
to missing or partially sampled information in the data, and initial results
from automatic recognition using a set of algorithms. Improvement of correct
recognitions is left as an ongoing challenge.Comment: 22 pages, 7 figures, 10 table
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