WBSN in IoT health-based application: toward delay and energy consumption minimizing

Alkhayyat, A., Thabit, A. A., Al-Mayali, F. A. and Abbasi, Q. H. (2019) WBSN in IoT health-based application: toward delay and energy consumption minimizing. Journal of Sensors, 2019, 2508452. (doi: 10.1155/2019/2508452)

Abstract

The wireless body sensor network (WBSN) technologies are one of the essential technologies of the Internet of things (IoT) growths of the healthcare paradigm, where every patient is monitored through a group of small-powered and lightweight sensor nodes. Thus, energy consumption is a major issue in WBSN. The major causes of energy wastage in WBSN are collisions and retransmission process. However, the major cause of the collision happened when two sensors are attempting to transmit data at exactly the same time and same frequency, and the major cause of the retransmission process happened when the collision takes place or data does not received properly due to channel fading. In this paper, we proposed a cognitive cooperative communication with two master nodes, namely, as two cognitive master nodes (TCMN), which can eliminate the collision and reduce the retransmission process. First, a complete study of a scheme is investigated in terms of network architecture. Second, a mathematical model of the link and outage probability of the proposed protocol are derived. Third, the end-to-end delay, throughput, and energy consumption are analyzed and investigated. The simulation and numerical results show that the TCMN can do system performance under general conditions with respect to direct transmission mode (DTM) and existing work.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Abbasi, Professor Qammer
• Authors: Alkhayyat, A., Thabit, A. A., Al-Mayali, F. A., and Abbasi, Q. H.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Journal of Sensors
• Publisher: Hindawi Publishing Corporation
• ISSN: 1687-725X
• ISSN (Online): 1687-7268
• Copyright Holders: Copyright © 2019 Ahmed Alkhayyat et al
• First Published: First published in Journal of Sensors 2019:2508452
• Publisher Policy: Reproduced under a Creative Commons license