Resource Provisioning for Cloud-Assisted Body Area Network in a Smart Home Environment

Authored by Mohammad Mehedi Hassan, Hanouf Albakr, Hmood Al-Dossari, Amr Mohamed

Date Published: 2017

DOI: 10.1109/access.2017.2726012

Sponsors: No sponsors listed

Platforms: NetLogo

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

In recent years, cloud-assisted body area network (CABAN) technologies have made their entrance in the Smart healthcare field, such as Smart home environment, and play a significant role for healthcare data storage, processing, and efficient decision making. However, currently, the CABAN paradigm in the healthcare domain is facing increasing difficulty in handling the huge amount of sensor data that the body sensor devices generate from diverse Smart home applications. Therefore, the challenging is now timely storing, processing, and analyzing of the sensor data in real time to maintain the Quality of Service (QoS) requirements of the caregivers or Smart home applications. QoS, here, is the capacity to support diverse Smart home applications in healthcare with different priorities, performance, and resource requirements. Therefore, in this paper, we present a fast and robust cloud resource allocation model for body sensor devices to ensure QoS for Smart home healthcare applications. We develop the proposed resource allocation algorithm using agent-based modeling (ABM) and ontology. There are few works, which consider ABM and ontology for resource allocation in CABAN platform. Moreover, we used an ABM tool called NetLogo to implement the proposed resource allocation model. The results from the implementation were compared with the results of existing algorithms and found to be promising.

Tags

Management Model Resource allocation Care Cloud-assisted body area network Qos Agent-based modeling and ontology Virtual machines