Abstract:
Internet of Things (IoT) networks handle multiple data types generated by numerous types of devices, with the additional challenge of delivering this data at high QoS lev...Show MoreMetadata
Abstract:
Internet of Things (IoT) networks handle multiple data types generated by numerous types of devices, with the additional challenge of delivering this data at high QoS levels. A great number of IoT applications require real-time updates and fresh data, in areas such as health, vehicular, UAVs and sensor monitoring (temperature, acceleration, motion, etc therefore, a metric such as the Age of Information (AoI) is useful to measure how recent the information is, considering the difference between the time it was generated and the time it is successfully delivered. In this paper, we propose an architecture consisting of IoT objects, which provide diverse services including video applications and CCTV monitoring, smart gateways, which support network connectivity, and a cloud-deployed platform utilised for resource management. The performance, quality and mobility challenges of IoT services are improved through an algorithm which uses Quality of Service (QoS), AoI, objects location and service relevance metrics in order to cluster the networked IoT objects, attach them to the most suitable smart gateway or relay device and improve the performance of their services.
Date of Conference: 25-29 June 2018
Date Added to IEEE Xplore: 30 August 2018
ISBN Information:
Electronic ISSN: 2376-6506