Collaboration of Smart IoT Devices Exemplified With Smart Cupboards

Abstract

The variety of smart things connected to Internet hampers the possibility of having a standalone solution for service-centric provisioning in the Internet of Things (IoT). The different features of smart objects in processing capabilities, memory, and size make it difficult for final users to learn the installation and usage of all these devices in collaboration with other IoT objects, hindering the user experience. In this context, we propose a collaboration mechanism for IoT devices based on the multi-agent systems with mobile agents. This paper illustrates the current approach with smart cupboards for potentially tracking memory losses. The user study revealed that users found working products of this approach usable, easy-to-learn and useful, and they agreed that the current approach could provide a high quality of experience not only in the specific case of service-centric IoT devices for tracking memory losses but also in other domains. The learning capability by means of this approach was showed with significant reductions of reaction times and number of errors over the first and second tests with the current approach. System response times were appropriate for both continuous rendering and presenting the classification results. The usage of RAM memory was also adequate for the common actual devices.

Smart Cupboard for Assessing Memory in Home Environment

“…In addition, the mechanism is novel, as this is the first work that presents a novel SC for this purpose, and is based on magnetic door sensors with very low prices. This work extends our previous work about IoT collaboration exemplified with a SC prototype [7]. The contribution of the current work over the previous one lies in the use of a more advanced three-door SC prototype that measures memory.…”

Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities

“…There are even ontology-based methodologies for designing these interactive systems. There is even a methodology of collaboration of IoT devices for providing health services such as the measurement of memory for identifying diseases, such as Alzheimer's [12]. In all these systems, one can observe that in long rehabilitation, sustainability can be important as it may rely on the system for detecting accidents, such as patient falls, and interrupted services can become problematic for patients.…”

Defenses Against Perception-Layer Attacks on IoT Smart Furniture for Impaired People

“…In general, novel pieces of smart furniture can bring security risks in smart cities. Notice that collaboration of different pieces of smart furniture [6] makes that a vulnerability in a piece of smart furniture could make an entire IoT ecosystem unreliable in a smart home, smart hospital or smart city depending on the context. Perception-layer attacks can make IoT smart furniture useless as the information sensed by these could have been altered becoming unreliable.…”