The Sol agent platform: Enabling group communication and interoperability of self-configuring agents in the Internet of Things

Ayala, Inmaculada; Amor, Mercedes; Fuentes, Lidia

doi:10.3233/ais-150304

Cited by 21 publications

(19 citation statements)

References 30 publications

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“…In a more recent work by Ayala et al [7], a MAS is introduced for managing the development of the Internet of Things (IoT) systems. The authors provide an agent platform called Sol to deal with IoT requirements such as the diversity of heterogeneous devices and communication among devices regardless of the technologies and protocols supported by such devices.…”

Section: When Multi-agent Systems Meet the Semantic Web: Representingmentioning

confidence: 99%

Artificial intelligence and ambient intelligence

Gams

Härmä

et al. 2019

AIS

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Ambient intelligence (AmI) is intrinsically and thoroughly connected with artificial intelligence (AI). Some even say that it is, in essence, AI in the environment. AI, on the other hand, owes its success to the phenomenal development of the information and communication technologies (ICTs), based on principles such as Moore's law. In this paper we give an overview of the progress in AI and AmI interconnected with ICT through information-society laws, superintelligence, and several related disciplines, such as multi-agent systems and the Semantic Web, ambient assisted living and e-healthcare, AmI for assisting medical diagnosis, ambient intelligence for e-learning and ambient intelligence for smart cities. Besides a short history and a description of the current state, the frontiers and the future of AmI and AI are also considered in the paper.

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Section: When Multi-agent Systems Meet the Semantic Web: Representingmentioning

confidence: 99%

Artificial intelligence and ambient intelligence

Gams

Härmä

et al. 2019

AIS

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“…Architectures and use cases for IoT systems, that utilize software agents, have been presented in [2,3,7,16,17,19,23,24,27,29,33,47,51,61,64,71]. As presented, an agent-based IoT architecture is multilayered, where the agents operate on different roles on each layer for the management, control, coordination and organization of system components and to connect components into the system.…”

Section: Edge Computing With Mobile Agentsmentioning

confidence: 99%

Energy efficient opportunistic edge computing for the Internet of Things

Leppänen

Riekki

2019

WEB

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Edge computing in Internet of Things enhances application execution by retrieving cloud resources to the close proximity of resource-constrained end devices at the edge and by enabling task offloading from end devices to the edge. In this paper, edge computing platforms are extended into the data producing end devices, including wireless sensor network nodes and smartphones, with mobile agents. Mobile agents operate as a multi-agent system on the opportunistic network of heterogeneous end devices, where the benefits include autonomous, asynchronous and the adaptive execution and relocation of application-specific tasks, while taking into account local resource availability. In addition to the vertical edge connectivity, mobile agents enable horizontal sharing of the information between end devices. Use cases are presented, where mobile agents address challenges in current edge computing platforms. An edge application is evaluated, where mobile agents as a multi-agent system process sensor data in a heterogeneous set of end devices, control the operation of the devices and share their results with system components. Mobile agents operate atop a REST-based mobile agent software framework that relies on embedded Web services for interoperability. A real-world evaluation and large-scale simulations show that energy consumption is reduced significantly in the edge application execution.

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“…Similarly, Lin et al 30 proposes the development of an intelligent agent model with the capacity to carry out communication through nearfield communication (NFC), which combines personal and social profiles from which it recommends relevant services that support reactive action, proactive achievement, and social cooperation-relevant aspects to the approach called the Social Internet of Things (SIoT). 72 Finally, Ayala et al 62 propose embedding agents in heterogeneous IoT objects with the aim that these agents manage IoT resources in order to provide the appropriate services requested within IoT ecosystems. In summary, Ayala et al's proposal focuses on the use of Self-StarMAS type agents to support interoperability and heterogeneity between IoT networks, providing flexible communication between connected objects, just as Yu et al 31 envision.…”

Section: Modeling Of Iot Objects Based On Agentsmentioning

confidence: 99%

“…The use of this type of agents in networks of IoT objects is basically oriented toward the modeling of rules based on contextual information of the devices connected to these types of networks in order to more effectively coordinate the services offered by the devices. In this ambit, there are some proposals presented by Al-Sakran, 36 Adhikaree et al, 39 Ayala et al, 62 and Zhou and Lou. 34 On the one hand, Adhikaree et al 39 employ reactive smart household agents that act autonomously in order to minimize electricity costs in smart homes.…”

Section: Iot Agentification and Cognitionmentioning

confidence: 99%

“…34 On the one hand, Adhikaree et al 39 employ reactive smart household agents that act autonomously in order to minimize electricity costs in smart homes. Similarly, Ayala et al 62 proposes the use of reactive agents in the management of the activities of an intelligent museum, based on contextual information provided by sensors in order to provide context-specific services such as establishing routes within the museum considering the presence of other groups in different physical areas of the facility, and sharing and disseminating information between the guide and their group of visitors. Supported by RFID technologies as proposed by Adhikaree et al, 39 Al-Sakran.…”

Section: Iot Agentification and Cognitionmentioning

confidence: 99%

See 1 more Smart Citation

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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The Sol agent platform: Enabling group communication and interoperability of self-configuring agents in the Internet of Things

Cited by 21 publications

References 30 publications

Artificial intelligence and ambient intelligence

Artificial intelligence and ambient intelligence

Energy efficient opportunistic edge computing for the Internet of Things

Agentification of the Internet of Things: A systematic literature review

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