A roadmap for scalable agent organizations in the Internet of Everything

Schatten, Markus; Ševa, Jurica; Tomičić, Igor

doi:10.1016/j.jss.2016.01.022

Cited by 31 publications

(16 citation statements)

References 27 publications

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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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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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“…Koncepcja ta bazuje na trzech pojęciach: zawsze (anytime), wszędzie (anyplace), z wszystkim (anything). Potencjał, jaki tkwi w tej technologii, powoduje, że Internet rzeczy określany jest także Internetem wszechrzeczy (Internet of everything) [Schatten i in. 2016].…”

Section: Internet Rzeczy -Istota Technologii I Obszary Zastosowańunclassified

Internet of Things in the Airport Infrastructure as an Element of Improvement in Tourism Traffic Operations

Rudnicki¹,

Borodako²

2017

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

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“…Internet of Things (IoT) is a new paradigm derived from wireless sensor networks (WSNs) and especially proposed for applications in day to day life 1–3 . An IoT‐based system consists of hundreds of distributed sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Green fault detection scheme for IoT‐enabled wireless sensor networks

Chanak

Banerjee

Bose

2020

Int J Communication

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SummaryWireless sensor network (WSN) is one of the major components for the Internet of Things (IoT)‐based smart systems that accumulate meaningful information and send them to the end‐user. In IoT‐enabled WSNs, large numbers of sensor nodes are deployed in an on‐site environment to collect and transmit different physical parameters from the monitoring environments to a central repository. However, low‐cost sensing devices in IoT‐enabled WSNs are prone to fail due to energy depletion, software failures, and hardware failures. The existing fault detection approaches consume notable additional energy to detect and overcome the failures. As a result, the whole network is subject to premature death. This article proposes a green fault detection scheme for IoT‐enabled WSNs to detect faulty nodes and solve the premature death problem of the network. Furthermore, a faulty node reuse mechanism is proposed that significantly prolongs the network lifetime. We analyze the properties of the proposed algorithm mathematically and validate its performance through extensive simulation and real‐life experiments. The simulation and experimental results show improved performance of the proposed scheme in terms of fault detection accuracy, false alarm rate, and network lifetime.

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A roadmap for scalable agent organizations in the Internet of Everything

Cited by 31 publications

References 27 publications

Energy efficient opportunistic edge computing for the Internet of Things

Energy efficient opportunistic edge computing for the Internet of Things

Internet of Things in the Airport Infrastructure as an Element of Improvement in Tourism Traffic Operations

Green fault detection scheme for IoT‐enabled wireless sensor networks

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