132,777 research outputs found
A Distributed Sensor Data Search Platform for Internet of Things Environments
Recently, the number of devices has grown increasingly and it is hoped that,
between 2015 and 2016, 20 billion devices will be connected to the Internet and
this market will move around 91.5 billion dollars. The Internet of Things (IoT)
is composed of small sensors and actuators embedded in objects with Internet
access and will play a key role in solving many challenges faced in today's
society. However, the real capacity of IoT concepts is constrained as the
current sensor networks usually do not exchange information with other sources.
In this paper, we propose the Visual Search for Internet of Things (ViSIoT)
platform to help technical and non-technical users to discover and use sensors
as a service for different application purposes. As a proof of concept, a real
case study is used to generate weather condition reports to support rheumatism
patients. This case study was executed in a working prototype and a performance
evaluation is presented.Comment: International Journal of Services Computing (ISSN 2330-4472) Vol. 4,
No.1, January - March, 201
Integration of heterogeneous devices and communication models via the cloud in the constrained internet of things
As the Internet of Things continues to expand in the coming years, the need for services that span multiple IoT application domains will continue to increase in order to realize the efficiency gains promised by the IoT. Today, however, service developers looking to add value on top of existing IoT systems are faced with very heterogeneous devices and systems. These systems implement a wide variety of network connectivity options, protocols (proprietary or standards-based), and communication methods all of which are unknown to a service developer that is new to the IoT. Even within one IoT standard, a device typically has multiple options for communicating with others. In order to alleviate service developers from these concerns, this paper presents a cloud-based platform for integrating heterogeneous constrained IoT devices and communication models into services. Our evaluation shows that the impact of our approach on the operation of constrained devices is minimal while providing a tangible benefit in service integration of low-resource IoT devices. A proof of concept demonstrates the latter by means of a control and management dashboard for constrained devices that was implemented on top of the presented platform. The results of our work enable service developers to more easily implement and deploy services that span a wide variety of IoT application domains
MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices
The Internet of Things (IoT) is part of Future Internet and will comprise
many billions of Internet Connected Objects (ICO) or `things' where things can
sense, communicate, compute and potentially actuate as well as have
intelligence, multi-modal interfaces, physical/ virtual identities and
attributes. Collecting data from these objects is an important task as it
allows software systems to understand the environment better. Many different
hardware devices may involve in the process of collecting and uploading sensor
data to the cloud where complex processing can occur. Further, we cannot expect
all these objects to be connected to the computers due to technical and
economical reasons. Therefore, we should be able to utilize resource
constrained devices to collect data from these ICOs. On the other hand, it is
critical to process the collected sensor data before sending them to the cloud
to make sure the sustainability of the infrastructure due to energy
constraints. This requires to move the sensor data processing tasks towards the
resource constrained computational devices (e.g. mobile phones). In this paper,
we propose Mobile Sensor Data Processing Engine (MOSDEN), an plug-in-based IoT
middleware for mobile devices, that allows to collect and process sensor data
without programming efforts. Our architecture also supports sensing as a
service model. We present the results of the evaluations that demonstrate its
suitability towards real world deployments. Our proposed middleware is built on
Android platform
Old Wine in New Skins? Revisiting the Software Architecture for IP Network Stacks on Constrained IoT Devices
In this paper, we argue that existing concepts for the design and
implementation of network stacks for constrained devices do not comply with the
requirements of current and upcoming Internet of Things (IoT) use cases. The
IoT requires not only a lightweight but also a modular network stack, based on
standards. We discuss functional and non-functional requirements for the
software architecture of the network stack on constrained IoT devices. Then,
revisiting concepts from the early Internet as well as current implementations,
we propose a future-proof alternative to existing IoT network stack
architectures, and provide an initial evaluation of this proposal based on its
implementation running on top of state-of-the-art IoT operating system and
hardware.Comment: 6 pages, 2 figures and table
Arm Mbed – AWS IoT System Integration [Open access]
This project explores the different Internet of Things (IoT) architectures and the available platforms
to define a general IoT Architecture to connect Arm microcontrollers to Amazon Web Services. In
order to accommodate the wide range of IoT applications, the architecture was defined with different
routes that an Arm microcontroller can take to reach AWS. Once this Architecture was defined, a
performance analysis on the different routes was performed in terms of communication speed and
bandwidth. Finally, a Smart Home use case scenario is implemented to show the basic functionalities
of an IoT system such as sending data to the device and data storage in the Cloud. Furthermore, a
Cloud ML algorithm is triggered in real time by the Smart Home to receive a prediction of the current
Comfort Level in the room
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