1,283 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
Remote Control and Monitoring of Smart Home Facilities via Smartphone with Wi-Fly
Due to the widespread ownership of smartphone devices, the application of mobile technologies to enhance the monitoring and control of smart home facilities has attracted much academic attention. This study indicates that tools already in the possession of the end user can be a significant part of the specific context-aware system in the smart home. The behaviour of the system in the context of existing systems will reflect the intention of the client. This model system offers a diverse architectural concept for Wireless Sensor Actuator Mobile Computing in a Smart Home (WiSAMCinSH) and consists of sensors and actuators in various communication channels, with different capacities, paradigms, costs and degree of communication reliability. This paper focuses on the utilization of end usersâ smartphone applications to control home devices, and to enable monitoring of the context-aware environment in the smart home to fulfil the needs of the ageing population. It investigates the application of an iPhone to supervise smart home monitoring and control electrical devices, and through this approach, after initial setup of the mobile application, a user can control devices in the smart home from different locations and over various distances
M2M Communications for E-Health and Smart Grid: An Industry and Standard Perspective
An overview of several standardization activities for machine-to-machine
(M2M) communications is presented, analyzing some of the enabling technologies
and applications of M2M in industry sectors such as Smart Grid and e-Health.
This summary and overview of the ongoing work in M2M from the industrial and
standardization perspective complements the prevalent academic perspective of
such publications to date in this field
A Priority-based Fair Queuing (PFQ) Model for Wireless Healthcare System
Healthcare is a very active research area, primarily due to the increase in the elderly population that leads to increasing number of emergency situations that require urgent actions. In recent years some of wireless networked medical devices were equipped with different sensors to measure and report on vital signs of patient remotely. The most important sensors are Heart Beat Rate (ECG), Pressure and Glucose sensors. However, the strict requirements and real-time nature of medical applications dictate the extreme importance and need for appropriate Quality of Service (QoS), fast and accurate delivery of a patientâs measurements in reliable e-Health ecosystem.
As the elderly age and older adult population is increasing (65 years and above) due to the advancement in medicine and medical care in the last two decades; high QoS and reliable e-health ecosystem has become a major challenge in Healthcare especially for patients who require continuous monitoring and attention. Nevertheless, predictions have indicated that elderly population will be approximately 2 billion in developing countries by 2050 where availability of medical staff shall be unable to cope with this growth and emergency cases that need immediate intervention. On the other side, limitations in communication networks capacity, congestions and the humongous increase of devices, applications and IOT using the available communication networks add extra layer of challenges on E-health ecosystem such as time constraints, quality of measurements and signals reaching healthcare centres.
Hence this research has tackled the delay and jitter parameters in E-health M2M wireless communication and succeeded in reducing them in comparison to current available models. The novelty of this research has succeeded in developing a new Priority Queuing model ââPriority Based-Fair Queuingââ (PFQ) where a new priority level and concept of ââPatientâs Health Recordââ (PHR) has been developed and
integrated with the Priority Parameters (PP) values of each sensor to add a second level of priority. The results and data analysis performed on the PFQ model under different scenarios simulating real M2M E-health environment have revealed that the PFQ has outperformed the results obtained from simulating the widely used current models such as First in First Out (FIFO) and Weight Fair Queuing (WFQ).
PFQ model has improved transmission of ECG sensor data by decreasing delay and jitter in emergency cases by 83.32% and 75.88% respectively in comparison to FIFO and 46.65% and 60.13% with respect to WFQ model. Similarly, in pressure sensor the improvements were 82.41% and 71.5% and 68.43% and 73.36% in comparison to FIFO and WFQ respectively. Data transmission were also improved in the Glucose sensor by 80.85% and 64.7% and 92.1% and 83.17% in comparison to FIFO and WFQ respectively. However, non-emergency cases data transmission using PFQ model was negatively impacted and scored higher rates than FIFO and WFQ since PFQ tends to give higher priority to emergency cases.
Thus, a derivative from the PFQ model has been developed to create a new version namely âPriority Based-Fair Queuing-Tolerated Delayâ (PFQ-TD) to balance the data transmission between emergency and non-emergency cases where tolerated delay in emergency cases has been considered. PFQ-TD has succeeded in balancing fairly this issue and reducing the total average delay and jitter of emergency and non-emergency cases in all sensors and keep them within the acceptable allowable standards. PFQ-TD has improved the overall average delay and jitter in emergency and non-emergency cases among all sensors by 41% and 84% respectively in comparison to PFQ model
Real Time Monitoring Technologies for Pro-Poor Access to Electricity
Existing literature strongly and consistently reports the high upfront cost of energy technology hardware as one of the main demand-side barriers to increased use of modern energy services by the poor. Existing literature also shows that lack of control over monthly bills and unawareness of consumption levels lead to inefficient and sometimes insufficient electricity consumption patterns by the poor.
Innovative technologies drawing from existing power metering and mobile payment technologies are now targeting the barriers of affordability and financial sustainability of electricity provision to the poor by allowing fee-for-services and rent-to-buy schemes for the sale of electricity, tariffs related to actual consumption, consumersâ control of their electricity bills and suppliersâ more efficient collection of payments. Real time monitoring (RTM) of on-grid electricity consumption has a long history, with prepaid meters being used in several developed and developing countries. However, new mobile technologies are enabling their use in off-grid systems, including both mini-grids and mobile household systems.DFI
Recent advances in industrial wireless sensor networks towards efficient management in IoT
With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service
Generic framework for the personal omni-remote controller using M2MI
A Generic Framework for the Personal Omni-Remote Controller Using M2MI is a masterâs thesis outlining a generic framework for the wireless omni-remote controller that controls neighboring appliances by using Many-to-Many Invocation (M2MI). M2MI is an object-oriented abstraction of broadcast communication. First, this paper introduces the history of remote controllers and analyzes omni-remote controller projects made by other researchers in this area, such as the Pebbles PDA project at Carnegie Mellon University and HPâs COOLTOWN project. Second, this paper depicts a generic framework of the personal omni-remote controller system including architecture, type hierarchy, and service discovery. In this framework, a module approach and a decentralized dual-mode service discovery scheme are introduced. When users request a certain type of service, their omni-remote controller application will first discover the available appliances in the vicinity and then bring up the corresponding control module for the target appliance. Thus, users can control the appliance through the User Interface of the control module. To join the omni-remote controller system, servers and clients need to follow the type hierarchy convention of the system. Finally, several implementations are given to show the control of different appliances with different capabilities. These appliances include thermostats, TVs with parental control, and washing machines
MakeSense: An IoT Testbed for Social Research of Indoor Activities
There has been increasing interest in deploying IoT devices to study human
behaviour in locations such as homes and offices. Such devices can be deployed
in a laboratory or `in the wild' in natural environments. The latter allows one
to collect behavioural data that is not contaminated by the artificiality of a
laboratory experiment. Using IoT devices in ordinary environments also brings
the benefits of reduced cost, as compared with lab experiments, and less
disturbance to the participants' daily routines which in turn helps with
recruiting them into the research. However, in this case, it is essential to
have an IoT infrastructure that can be easily and swiftly installed and from
which real-time data can be securely and straightforwardly collected. In this
paper, we present MakeSense, an IoT testbed that enables real-world
experimentation for large scale social research on indoor activities through
real-time monitoring and/or situation-aware applications. The testbed features
quick setup, flexibility in deployment, the integration of a range of IoT
devices, resilience, and scalability. We also present two case studies to
demonstrate the use of the testbed, one in homes and one in offices.Comment: 20 pages, 11 figure
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