Multi-Layer Agent Based Architecture for Internet of Things Systems

Abstract

Nowadays, the Internet of things (IoT) is becoming a promising technology which revolutionizes and simplifies our daily life style. It allows interaction and cooperation between a large variety of pervasive objects over wireless and wired connections, in order to achieve specific goals. Moreover, it provides a concise integration of physical world into computer systems through network infrastructure. This paper provides an agent-based architecture for developing IoT systems. The proposed architecture is multi-layer and generic. It encompasses four layers: Physical Component Management, Local Management -Coordination, Global Management-Coordination and Specialized Operative Management Layers. The first one can be seen as a smart layer that ensures connection and communication between things and the system. The second one constitutes the intelligent core of the system which acts locally to ensure coordination and further internal functioning. The third layer ensures coordination between the local system and the externals ones. The last layer supports additional behaviors which are domain dependent. The architecture is illustrated by an IoT system diagnosis.

Sustainable Smart Aquaponics Farming Using IoT and Data Analytics

“…The traditional aquaponics system has been modified with the data acquisition methods, Machine Learning model along with the IOT components which make the aquaponics system smart and reduces the human involvement in the maintenance of the system which in fact reduces the cost of human labour (Sofia & Ilham, 2018) (Misra & Chaurasia, 2020). Using renewable energy as power source to power the electrical components reduces the power requirement and reduces the cost of electricity.…”