Simple scheduling scheme for smart home and ambient assisted living

Abstract

Smart Home and Ambient Assisted Living (SHAAL) systems utilize advanced and ubiquitous technologies including sensors and other devices that are integrated in the residential infrastructure or wearable, to capture data describing activities of daily living and health related events. However, with the introduction of these technology-orientated services come a number of challenges, which to date are still largely unsolved. The management and processing of the large quantities of data generated from multiple sensors is recognized as one of the most significant challenges. Therefore, a simple yet efficient data scheduling scheme is proposed in this paper to manage incoming data packet from the system based on their application types and priorities. The experimental results show the proposed scheme offers a promising solution for guaranteeing higher throughput to the high priority data while giving sufficient access to low priority data.