Fiot: An Agent-Based Framework for Self-Adaptive and Self-Organizing Internet of Things Applications

NASCIMENTO, NATHALIA MORAES DO

doi:10.17771/pucrio.acad.26510

Cited by 4 publications

(8 citation statements)

References 51 publications

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“…Both of these are approaches in which the agents integrated into the MAS are geared toward managing a network of IoT objects with more complex capabilities based on automatic learning techniques and AI optimization. The first of these is the approach of Do Nascimento and de Lucena 29 who propose a model in which objects acquire the capacity for self-organization and self-adaptation by means of agents based on automatic learning techniques such as neural networks and evolutionary algorithms. In this vein, the second approach proposed by Forestiero 49 proposes an agent model based on a multiagent recommendation algorithm—based on the mapping of similar objects—in the context of IoT, to provide a set of meaningful suggestions that meet the needs of a user with determined characteristics.…”

Section: Resultsmentioning

confidence: 99%

Agentification of the Internet of Things: A systematic literature review

Pico-Valencia

Holgado-Terriza

2018

International Journal of Distributed Sensor Networks

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The Internet of Things is aimed at controlling the physical real world using a global network of heterogeneous smart objects that are interconnected through the Internet. Nonetheless, this emergent paradigm still poses challenges in terms of intelligence, autonomy, security, privacy, and interoperability, all of which must be overcome in order for this approach to be consolidated. The integration of Internet of Things with agent technologies has been proposed as an alternative. In this article, we present a general overview of the main preliminary models, theoretical and experimental studies, and applications currently proposed to carry out the agentification of the Internet of Things through modeling smart objects and networks of Internet of Things objects using software agents. Furthermore, we present an analysis of the main strengths, opportunities, weaknesses, and threats of this approach in terms of computational intelligence. Finally, we discuss the main challenges that must be overcome in order for the agentification process of the Internet of Things to become a consolidated paradigm to build cognitive Internet of Things applications.

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Section: Resultsmentioning

confidence: 99%

Agentification of the Internet of Things: A systematic literature review

Pico-Valencia

Holgado-Terriza

2018

International Journal of Distributed Sensor Networks

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“…Integrating with our previous works for the dual-loop control model [11], the multi-agent software architecture provides support for accompanying model and observation modes through agent communication mechanisms. However, in this MASbased architecture, we don't consider the non-deterministic characteristic of MAS such as learning [12], self-adaptation and self-organization [13]. The description of the role that each agent plays in this multi-agent model is as follows:…”

Section: A Mas-based Software Architecturementioning

confidence: 99%

Accompanying Observation Modes and Software Architecture for Autonomous Robot Software

Liu

Mao²,

Yang³

2018

International Conferences on Software Engineering and Knowledge Engineering

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To support robust task execution in open environment, autonomous robots (AR) should include reactive capabilities to cope with the dynamics and uncertainties from real-world environment. The uncertainties pose great challenges for robots being sensitive to the environmental changes and flexible to adjust self-behaviors. To this end, this paper aims to improve the sensing and acting capabilities of autonomous robots by novel behavioral theories, observation modes and software architectures. Specifically, this paper has three main contribution: (1) presents an accompanying model that specifies a novel accompanying pattern for interacting robot behaviors;(2) proposes four types of accompanying observation modes that coordinate multiple robot sensing behaviors; (3) proposes a concrete multi-agent software architecture that implements aforementioned accompanying model and accompanying observation modes. To demonstrate the applicability and validity of our accompanying modes and MAS-based software architecture, this paper conducts a case study to implement a domestic service example, which requires the robot to run in a highly dynamic environment and can adapt its behaviors to unexpected situations. *

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“…Bigraphical Agents [1] are defined by a physical structure and a logical structure. The physical structure is modelled by the formalism of bigraphs and the logical one by agents.…”

Section: Biagentsmentioning

confidence: 99%

“…Few works in the literature have focused on the use of formal methods to design and specify such applications by supporting the characteristics of complex, distributed and auto-adaptive systems. For instance, authors of [1] based their framework for the IoT on agents, focusing on self-adaptive and self-organizing aspects of the applications. On the other hand, graph-based formalisms are usually favoured to support the description of interrelation as well as dynamic configuration.…”

Section: Related Workmentioning

confidence: 99%

“…In fact, to date in literature, several approaches for the development of IoT applications have been proposed. It is possible to recognise some operational approaches based on multi-agent frameworks [1] to support the implementation of IoT systems. Nevertheless, no well-formalized approach able to support analysis, design and implementation phase of IoT applications development is currently available.…”

Section: Introductionmentioning

confidence: 99%

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BiAgent-Based Model for IoT Applications

Marir

Kitouni

Benzadri

et al. 2018

Service-Oriented Computing – ICSOC 2017 Workshops

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The Internet of Things (IoT) consists in connecting every aspect of daily and professional life to a common infrastructure, in order to improve considerably the efficiency of otherwise unthinking objects. The huge scale on which they operate, as well as the lack of adequate standards and infrastructures makes the development of IoT applications a task of gradually growing complexity. The objective of this work is to define a formal model with BiAgents (Bigraphical Agents) for IoT applications, based on a suggested generic multi-layered architecture. We show how bigraphs support the structural aspects modelisation of these applications while the agents specify their analytical and decisional aspects. We proceed then to the edition and execution of our model using the bigraph implementation tool (RCTool4 Bigraphs), and through the exploitation of its model-checker, we formally verify its most critical property. As a practical example, we study the case of a Collision Avoidance System.

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Fiot: An Agent-Based Framework for Self-Adaptive and Self-Organizing Internet of Things Applications

Cited by 4 publications

References 51 publications

Agentification of the Internet of Things: A systematic literature review

Agentification of the Internet of Things: A systematic literature review

Accompanying Observation Modes and Software Architecture for Autonomous Robot Software

BiAgent-Based Model for IoT Applications

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