Enterprise-Oriented IoT Name Service for Agriculture Product Supply Chain Management

Liu, Yi; He, Wei; Wang, Junyu; Qian, Kan; Kong, Ning; Wang, Kaijiang; Shi, Yi-Wei; Zheng, Lirong

doi:10.1109/iiki.2014.55

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…Other projects are focused on IoT naming and resolving protocols [13], [14], [15]. However, they focus on the definition of new naming standards and work on solving either networks' security or performance [16] but not both.…”

Section: A Related Workmentioning

confidence: 99%

CONNECT: CONtextual NamE disCovery for blockchainbased services in the IoT

Pietro¹

2018

Qatar Foundation Annual Research Conference Proceedings Volume 2018 Issue 3

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The Internet of Things is gaining momentum thanks to the provided vision of seamlessly interconnected devices. However, a unified way to discover and to interact with the surrounding smart environment is missing. As an outcome, we have been assisting to the development of heterogeneous ecosystems, where each service provider adopts its own protocolthus preventing IoT devices from interacting when belonging to different providers. And, the same is happening again for the blockchain technology which provides a robust and trusted way to accomplish tasks-unfortunately not providing interoperability thus creating the same heterogeneous ecosystems above highlighted. In this context, the fundamental research question we address is how do we find things or services in the Internet of Things. In this paper, we propose the first IoT discovery approach which provides an answer to the above question by exploiting hierarchical and universal multi-layered blockchains. Our approach does neither define new standards nor force service providers to change their own protocol. On the contrary, it leverages the existing and publicly available information obtained from each single blockchain to have a better knowledge of the surrounding environment. The proposed approach is detailed and discussed with the support of relevant use cases. I CONNECT: CONtextual NamE disCovery for blockchain-based services in the IoT

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Section: A Related Workmentioning

confidence: 99%

CONNECT: CONtextual NamE disCovery for blockchainbased services in the IoT

Pietro¹

2018

Qatar Foundation Annual Research Conference Proceedings Volume 2018 Issue 3

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“…On the other hand, the IoT is presently the object of significant research as it will be implemented on a large scale within the next decade or so. Presently, several investigations have developed IoT applications for natural disasters [ 34 , 35 ], generalized and specialized industries [ 36 , 37 , 38 ], smart homes [ 39 , 40 , 41 ], medicine [ 42 , 43 , 44 ], agriculture [ 45 , 46 , 47 ], urban planning and intelligent cities [ 48 , 49 , 50 ] and the design of Intelligent Transport Systems (ITS) [ 51 , 52 , 53 ]. In the fields of ITS and smart cities, allowing vehicles to be interconnected, forming vehicular ad-hoc networks (VANETs), has enormous applications related to safety, internet connectivity, entertainment, file transfer and importantly, the detection and avoidance of dangerous or problematic traffic conditions [ 54 ].…”

Section: Related Workmentioning

confidence: 99%

Traffic Congestion Detection System through Connected Vehicles and Big Data

Cárdenas-Benítez

Aquino-Santos

Magaña-Espinoza³

et al. 2016

Sensors

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This article discusses the simulation and evaluation of a traffic congestion detection system which combines inter-vehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure connectivity and big data. The system discussed in this article permits drivers to identify traffic congestion and change their routes accordingly, thus reducing the total emissions of CO2 and decreasing travel time. This system monitors, processes and stores large amounts of data, which can detect traffic congestion in a precise way by means of a series of algorithms that reduces localized vehicular emission by rerouting vehicles. To simulate and evaluate the proposed system, a big data cluster was developed based on Cassandra, which was used in tandem with the OMNeT++ discreet event network simulator, coupled with the SUMO (Simulation of Urban MObility) traffic simulator and the Veins vehicular network framework. The results validate the efficiency of the traffic detection system and its positive impact in detecting, reporting and rerouting traffic when traffic events occur.

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“…The Internet of Agricultural Things (AIoT), where the technologies of the Internet of Things are widely used in all of the phases in the agriculture industry, is proposed to resolve the food safety problem. In order to provide a common model to describe and transmit the data in agriculture Internet of Things, [15] proposes a specific ontology, while [16] uses a naming service to identify products.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Data processing Obviously, choosing a data processing tool depends mostly on the outcome expected from the data. The most common tool for BigData analysis, and what we probably think at first, is Hadoop MapReduce 16 . It has proven its efficiency in many ways and is an incredible tool.…”

Section: Review Of Big Data Toolsmentioning

confidence: 99%

WAZIUP - An Internet of Things and Big Data Platform to Boost Innovation in Rural Africa

Dupont

Fatnassi

Dupont

2016

European Space Project on Smart Systems, Big Data, Future Internet - Towards Serving the Grand Societal Challenges

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Gartner forecasts that 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from 2015, and will reach 20.8 billion by 2020. In 2016, 5.5 million new things will get connected every day. Furthermore, the current research and marker trends shows the convergence between IoT and Big Data. On the other hand, Africa as a continent has seen very little of this activity. In this book chapter we present WAZIUP, a project aiming at building an open innovation platform able to accelerate innovation in rural Africa. The WAZIUP platform will allow to develop IoT applications coupled with Big Data capacities. The platform is taylored to the specific requirements and constraints of African users. We will give an overview of the WAZIUP IoT and Big Data platform, detail its technical aspects and finally introduce four use case deployements.

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Enterprise-Oriented IoT Name Service for Agriculture Product Supply Chain Management

Cited by 12 publications

References 8 publications

CONNECT: CONtextual NamE disCovery for blockchainbased services in the IoT

CONNECT: CONtextual NamE disCovery for blockchainbased services in the IoT

Traffic Congestion Detection System through Connected Vehicles and Big Data

WAZIUP - An Internet of Things and Big Data Platform to Boost Innovation in Rural Africa

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