An Agentified Use of the Internet of Things

Kwan, Joel; Gangat, Yassine; Payet, Denis; Courdier, Rémy

doi:10.1109/ithings-greencom-cpscom-smartdata.2016.76

Cited by 18 publications

(11 citation statements)

References 11 publications

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“…In fact, things will be accountable for their actions. While we already see some positive and encouraging signs of thing empowerment through initiatives like intelligent things [18], wisdom Web of things [9], semantic things [17], Internet of social things [4], Internet of agents [33], agents of things [27,34], agentified use of IoT [19], process of things [22], and organizational structures for IoT [35], we discuss, here, our work on agentifying 3 (with reference to software agents [23]) things. This agentification is done from 2 perspectives: conceptual using norms to guide things (what can be done) and operational using commitments to allow things to act in compliance with these norms.…”

Section: Introductionmentioning

confidence: 99%

Norm-based and commitment-driven agentification of the Internet of Things

et al. 2019

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Section: Introductionmentioning

confidence: 99%

Norm-based and commitment-driven agentification of the Internet of Things

et al. 2019

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“…IoT is a revolutionary concept but has multifacet requirements and development issues. To properly address and support IoT systems, agent-based computing represents an effective model [49].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Approach towards the Design and Implementation of Virtual Network Based on Controller in Future IoT Applications

et al. 2020

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The Internet of Things refers (IoT) to the billions of physical devices around the globe that are connected to the Internet, collecting and sharing data. The overall Internet of Things market is projected to be worth more than 50.6 billion U.S. dollars in 2020. IoT devices possess low processing capabilities, limited memory, limited storage, and minimal network protocol support. With the help of cloud computing technology, we can overcome the limited resources of IoT devices. A lot of research has been conducted on IoT device virtualization to facilitate remote access and control. The concept of virtualization in IoT is to provide a virtual representation of physical devices in the form of virtual objects. IoT devices are more likely to be accessed and communicate through virtual objects in the near future. In this paper, we present the design and implementation of building a virtual IoT network for a smart home. The virtual network is based on virtual objects and IoT controller. We derived the concept from Software Defined Network (SDN) and separated the control plane and data plane in the virtual IoT network. This enhanced the rapid development of diverse applications on top of the virtualization layer by establishing a dynamic end-to-end connection between IoT devices. This article briefly explains the design and development of the virtual network. Results achieved during experiments and performance analysis show that IoT controller enhances the capabilities of a virtual network by dynamically controlling the traffic congestion, handling mapping requests, and routing mechanisms.

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“…The problem of agentification the Internet of Things (IoT) was discussed in some articles; see for example the articles by Maamar et al [31], and by Kwan et al [32]. Our approach covers a partially-proposed methodology, containing the definition of an ecosystem, agentification of things, as well as implementing a case study.…”

Section: Related Workmentioning

confidence: 99%

Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces

Klimek

2019

Sustainability

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Mobile phone network data, routinely collected by its providers, possess very valuable encoded information about human behaviors. Intensive tourist activities in urban spaces bring smartness via mobile phone fingerprints into the understanding of an urban ecosystem. Due to the diverse processes that govern mobile communication, mining the geolocations of individuals seems to be non-trivial, tedious, and even irregular, which can lead to an incomplete trajectory. Enriching trajectories with infrastructural facilities is another challenge. We provide a unified approach, comprised of both informal and formal elements, to obtain a common framework, which maps pervasive datasets into a collection of individual patterns in urban spaces, to obtain context-enhanced trajectory reconstructions. Through the algorithmization of the approach, we acquire a study that provides new insights on individual and anonymized tourist behaviors. In order to obtain individual behaviors, it is necessary to carry out an arduous extraction process. We propose a multi-agent system architecture and predefined message streams, which are transported on a message-broker platform. We also propose all of the basic algorithms that compose the prototype of the entire multi-agent system. All algorithms were formally analyzed due to termination and time complexity. System evaluation, together with a few basic experiments, was also carried out. The performance evaluation results authenticate system feasibility, credibility, and vitality. Those factors prove its effectiveness and the possibility to build the target system, whilst supporting every urban ecosystem. The system would also strongly influence municipal services to understand urban context and operate more effectively in order to support tourist activities to become safer and more comfortable.

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An Agentified Use of the Internet of Things

Cited by 18 publications

References 11 publications

Norm-based and commitment-driven agentification of the Internet of Things

Norm-based and commitment-driven agentification of the Internet of Things

A Novel Approach towards the Design and Implementation of Virtual Network Based on Controller in Future IoT Applications

Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces

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