Research Directions for the Internet of Things

Stankovic, John A.

doi:10.1109/jiot.2014.2312291

Cited by 1,715 publications

(713 citation statements)

References 25 publications

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“…Stankovic [18] explains that the IoT will increasingly be composed of "a very large number of real-time sensor data stream" and that a "given stream of data will be used in many different ways". RDF stream processing (RSP) is the area of work which enables Linked Data to be produced, transmitted and continuously queried as RDF streams 3 .…”

Section: Rdf Stream Processing (Rsp) For the Iotmentioning

confidence: 99%

Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing

2017

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Abstract. Fog computing is an emerging technology for the Internet of Things (IoT) that aims to support processing on resource-constrained distributed nodes in between the sensors and actuators on the ground and compute clusters in the cloud. Fog Computing benefits from low latency, location awareness, mobility, wide-spread deployment and geographical distribution at the edge of the network. However, there is a need to investigate, optimise for and measure the performance, scalability and interoperability of resource-constrained Fog nodes running real-time applications and queries on streaming IoT data before we can realise these benefits. With Eywa, a novel Fog Computing infrastructure, we 1) formally define and implement a means of distribution and control of query workload with an inverse publish-subscribe and push mechanism, 2) show how data can be integrated and made interoperable through organising data as Linked Data in the Resource Description Format (RDF), 3) test if we can improve RDF Stream Processing query performance and scalability over state-of-the-art engines with our approach to query translation and distribution for a published IoT benchmark on resource-constrained nodes and 4) position Fog Computing within the Internet of the Future.

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Section: Rdf Stream Processing (Rsp) For the Iotmentioning

confidence: 99%

Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing

2017

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“…According to a survey done by the IoT-I project in 2010 [8] indicated IoTs situation applications could be grouped in 14 domain viz; Transportation, Smart home, Smart city, Lifestyle, Retail, Agriculture, Smart factory, Supply chain, Emergency, User Interaction, Healthcare, Culture and tourism, Environment, and Energy. This survey was based on 270 responses from 31 countries demonstrated the most exciting circumstance applications were: smart home, smart city, transportation, and healthcare.…”

Section: Application Of Internet Of Thingsmentioning

confidence: 99%

Analysis of Dynamic Topology Wireless Sensor Networks for the Internet of Things (IOT)

2017

IJIET

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-This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling Architecture, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling protocols, and applications.

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“…However, IoT introduces significant new challenges for middleware [4] stemming from the vast number of connected objects, the volume and richness of the data produced, the rich patterns of communication required, the heterogeneity of communicating components, and new challenges in terms of quality-of-service, privacy, and security. Those challenges must be tackled by researchers and practitioners in the middleware community before society can fully benefit from this potential.…”

Section: Middleware Challenge 1: the Internet Of Thingsmentioning

confidence: 99%

Middleware for Internet distribution in the context of cloud computing and the Internet of Things

2016

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Middleware is software that resides between applications, services, and their underlying distributed architecture and platforms. Middleware provides several types of capabilities to developers, including providing higher-level programming abstractions to support the development of applications and services; supporting end-to-end quality attributes, such as scalability, persistence, and security; and masking problems such as system failure and heterogeneity of languages, operating systems, and networks.Middleware has provided a key set of layers in distributed architectures since the early 90s, starting with the basic client/server model of distribution. Over the past several decades, there have been extensive innovations in middleware capabilities, with new paradigms and underlying systems technologies emerging. Significant developments during this time frame include the programming models associated with distributed objects, components, and, These innovations have provided developers with an abundance of tools to develop distributed systems and, until recently, middleware has largely delivered on its promise of enhancing portability, interoperability, and integrability. Over the last few years, however, there have been significant trends in distributed systems that motivate new advances in middleware to overcome limitations with conventional middleware technologies. These trends include the emergence of the Internet of Things (IoT) and cloud computing, which add new and unprecedented challenges for scale, dependability, and security to the underlying middleware technology. When taken together, the challenges are even greater when we move toward complex distributed systems that are very large (Internet scale), highly heterogeneous, and dynamic. There is also a corresponding change in the deployment of distributed systems, moving from individual systems to systems of systems.To address the challenges for middleware emanating from the advent of the Internet of Things and cloud computing, new research is required, particularly with respect to the types of middleware needed to support key domains, such as cyber-physical systems, smart cities, the smart grid, big data analytics, digital earth, and so on. This special issue addresses these challenges by (i) considering the state-

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Research Directions for the Internet of Things

Cited by 1,715 publications

References 25 publications

Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing

Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing

Analysis of Dynamic Topology Wireless Sensor Networks for the Internet of Things (IOT)

Middleware for Internet distribution in the context of cloud computing and the Internet of Things

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