Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation

Fortino, Giancarlo; Russo, Wilma; Savaglio, Claudio; Shen, Weiming; Zhou, MengChu

doi:10.1109/tsmc.2017.2780618

Cited by 194 publications

(77 citation statements)

References 52 publications

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“…In this section, we apply the ACOSO-Meth [6] with ROA general guidelines [7] for the development of ROAgent-based crowdsensing SO. Initially, ACOSO-Meth and the ROAgent framework have been conceptually integrated in [15] by re-engineering the ROAgent framework according to the methodology.…”

Section: Systematic Approach To Crowdsensing So Developmentmentioning

confidence: 99%

“…In this paper, we analyze, design and implement a mobile crowdsensing SO as an IoT edge application. We tackle the methodology and interoperability challenges by following the guidelines provided by the agent-oriented IoT development methodology ACOSO-Meth [6] and the resource-oriented architecture (ROA) [7] principles. We utilize the ROAgent framework [8,9,10] to develop the agent-based SO, where the functionality is distributed as a MAS across the edge devices and user devices.…”

Section: Introductionmentioning

confidence: 99%

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Developing Agent-Based Smart Objects for IoT Edge Computing: Mobile Crowdsensing Use Case

Leppänen

Savaglio

Lovén

et al. 2018

Internet and Distributed Computing Systems

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Software agents have been exploited to handle the inherent dynamicity in the Internet of Things (IoT) systems, as agents are capable of autonomous, reactive and proactive operation in response to changes in their local environment. Agents, operating at the network edge, enable leveraging cloud resources into the proximity of the user devices. However, poor interoperability with the existing IoT systems and the lack of a systematic methodology for IoT system development with the agent paradigm have hindered the utilization of software agent technologies in IoT. In this paper, we describe the development process and the system architecture of a mobile crowdsensing service, provided by an agent-based smart object that comprises agents in both edge and user devices. Mobile crowdsensing is an example of such an application that relies on large-scale participatory sensor networks, where participants have active roles in producing information about their environment with their smartphones. This scheme introduces challenges in handling dynamic opportunistic resource availability, due to mobility and unpredicted actions of the participants. We present how ACOSO-Meth (Agent-oriented Cooperative Smart Object-Methodology) guidelines the development process systematically from the analysis to the actual agentbased implementation of a crowdsensing service. The implementation is done with the ROAgent framework that utilizes resource-oriented architecture and REST principles to integrate agent-based smart objects seamlessly with the programmable Web.

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Section: Systematic Approach To Crowdsensing So Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing Agent-Based Smart Objects for IoT Edge Computing: Mobile Crowdsensing Use Case

Leppänen

Savaglio

Lovén

et al. 2018

Internet and Distributed Computing Systems

Self Cite

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“…These algorithms usually have lower performance than algorithms deployed in the cloud, but edge computing nodes can quickly feed back results to users. However, with the widespread deployment of edge computing devices, the energy demand of these devices has increased and started to become a noticeable issues for sustainable development of time-constrained IoT applications [16]- [19]. Energy efficiency optimization for such applications becomes more challenging when considering the rapid constant grow of edge devices/sensors [20], [21].…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Multi-Modal Multi-Layer Emotion-Aware Service at the Edge

Fortino

et al. 2022

IEEE Trans. Sustain. Comput.

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Limited by the computational capabilities and battery energy of terminal devices and network bandwidth, emotion recognition tasks fail to achieve good interactive experience for users. The intolerable latency for users also seriously restricts the popularization of emotion recognition applications in the edge environments such as fatigue detection in auto-driving. The development of edge computing provides a more sustainable solution for this problem. Based on edge computing, this article proposes a multi-modal multi-layer emotion-aware service (MULTI-EASE) architecture that considers user's facial expression and voice as a multi-modal data source of emotion recognition, and employs the intelligent terminal, edge server and cloud as multi-layer execution environment. By analyzing the average delay of each task and the average energy consumption at the mobile device, we formulate a delay-constrained energy minimization problem and perform a task scheduling policy between multiple layers to reduce the end-to-end delay and energy consumption by using an edge-based approach, further to improve the users' emotion interactive experience and achieve energy saving in edge computing. Finally, a prototype system is also implemented to validate the architecture of MULTI-EASE, the experimental results show that MULTI-EASE is a sustainable and efficient platform for emotion analysis applications, and also provide a valuable reference for dynamic task scheduling under MULTI-EASE architecture.

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“…The agent-based mechanism was also used in IoT and cloud ecosystem as MANET finds its ultimate deployment over this. Another recent work of Fortino et al [28] has discussed how agent-based mechanism can be embedded with smart objects in the IoT environment. The work of Gargees and Scott [29] has presented a technique for facilitating data structurization over IoT media in order to extract the pattern of communication.…”

Section: Introductionmentioning

confidence: 99%

Novel authentication framework for securing communication in internet-of-things

Patil¹,

Biradar²

2020

IJECE

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Internet-of-Things (IoT) offers a big boon towards a massive network of connected devices and is considered to offer coverage to an exponential number of the smart appliance in the very near future. Owing to the nascent stage of evolution of IoT, it is shrouded by security loopholes because of various reasons. Review of existing research-based solution highlights the usage of conventional cryptographic-based solution over the traditional mechanism of data forwarding process between IoT nodes and gateway. The proposed system presents a novel solution to this problem by a model that is capable of performing a highly secured and cost-effective authentication process. The proposed system introduces Authentication Using Signature (AUS) as well as Security with Complexity Reduction (SCR) for the purpose to resist participation of any form of unknown threats.The outcome of the model shows better security strength with faster response time and energy saving of the IoT nodes.

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Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation

Cited by 194 publications

References 52 publications

Developing Agent-Based Smart Objects for IoT Edge Computing: Mobile Crowdsensing Use Case

Developing Agent-Based Smart Objects for IoT Edge Computing: Mobile Crowdsensing Use Case

A Sustainable Multi-Modal Multi-Layer Emotion-Aware Service at the Edge

Novel authentication framework for securing communication in internet-of-things

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