Title: A clique-based scheduling in real-time query processing optimisation for cloud-based wireless body area networks

Authors: Dinesh Kumar A; S. Smys

Addresses: Computer Science and Engineering, Dr. NGP Institute of Technology, Coimbatore, Tamil Nadu, India; Information and Communication Engineering, Anna University, Chennai, Tamil Nadu, India ' Electronics and Communication Engineering, RVS Technical Campus – Coimbatore, Coimbatore, Tamil Nadu, India

Abstract: A wireless body area network is a wireless network of wearable computing devices. BAN devices may be deployed inside or surface-mounted on the human body. WBAN tackles throughput, high query latency and energy consumption. In this paper, we proposed clique-based WBAN scheduling (CBWS) algorithm and cloud-based WBAN algorithm. First, the sensors are not active together at the same time it can be clustered into different groups to avoid interference. So colouring based technique is used to schedule all groups in a time slot. And these sensor data are provided to the database for user query processing. Then, a cloud-based technique is utilised to secure the stored information and optimise the real-time query processing is done to obtain energy minimisation and query latency. Also multi queue scheduling (MQS) algorithm is used. The experimental results minimal energy consumption, query latency and better throughput also provide secure powerful storage infrastructure in real-time environment.

Keywords: WBAN sensors; clique-based technique; cloud-based technique; user query processing; energy consumption.

DOI: 10.1504/IJBET.2019.100268

International Journal of Biomedical Engineering and Technology, 2019 Vol.29 No.4, pp.327 - 344

Received: 05 Apr 2016
Accepted: 25 Nov 2016
Published online: 24 Jun 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article