Abstract 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 these 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. The benefits include autonomous, asynchronous and adaptive execution and relocation of application-specific computational tasks, while taking into account the local resource availability. In addition to the vertical edge connectivity, mobile agents enable horizontal sharing of information between these 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 tasks results in the system. The mobile agents operate atop a REST-compliant software agent framework that relies on embedded Web services for interoperability. A real-world evaluation and large-scale simulations show that energy consumption is reduced significantly, up to 60%, in the edge application execution.


    Access

    Download


    Export, share and cite



    Title :

    Energy efficient opportunistic edge computing for the Internet of Things


    Contributors:

    Publication date :

    2019-01-01


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629 / 600




    Internet of Things data terminal system based on 5G and edge computing

    LI JIANGPENG / HU TAI / ZHANG WEITANG et al. | European Patent Office | 2023

    Free access

    Elevator Internet of Things edge computing equipment integrating multimedia and artificial intelligence

    LU FENG / LIU GUOHUI / LI MINGZHE et al. | European Patent Office | 2021

    Free access

    Internet of Things data management system based on block chain and edge computing

    MA YU / ZHANG CHAO | European Patent Office | 2021

    Free access

    Energy Efficient Smart Working Environment Using Internet of Things

    Vikash / Mishra, Lalita / Chouhan, Sajan D. et al. | IEEE | 2019


    Energy-Efficient Internet of Things Solution for Traffic Monitoring

    Hoch, Thomas / Kopetzky, Theodorich | Springer Verlag | 2022

    Free access