Abstract

This paper performs integrated performance evaluation, including preamble detection in the Smart Body Area Networks (SmartBAN) physical layer (PHY). The system specifications for a PHY and media access control layer (MAC) in SmartBAN, which is a standard for medical and health care advanced by the European Telecommunications Standards Institute (ETSI), were issued in April 2015. In the PHY, the packet structure has a two-octet preamble, which is used, e.g., for timing synchronization. However, it is considered that the current preamble structure is not appropriate for handling medical and healthcare data that are required to have high reliability because of the too simple structure. Therefore, we propose adding a start frame delimiter (SFD) to correctly detect the header position. Computer simulations indicate that preambles with an SFD consisting of an orthogonal maximal length sequence (M-sequence) perform better than SmartBAN and similar approaches, particularly when transmitting over the IEEE model CM3. In addition, the packet error ratio (PER) and energy efficiency are evaluated in an integrated manner while taking preamble detection into consideration. The numerical results from computer simulations indicated the best performance with respect to PER was achieved using a preamble with orthogonal M-sequences of 4 octets. However, for energy efficiency, better results were obtained using a preamble with orthogonal M-sequences of 2 octets. Additionally, the theoretical analysis found the optimum length of the PHY packet to achieve the maximum energy efficiency with PER less than 10−2.

Highlights

  • In recent years, a medical and healthcare Internet of Things (IoT) system has attracted attention as a means to support home medical care or a remote medical care

  • M-sequences are used as the start frame delimiter (SFD) because they perform better than other sequences

  • Regarding the influence of preamble detection, the SmartBAN preamble performs worse than when an SFD is used

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Summary

Introduction

A medical and healthcare Internet of Things (IoT) system has attracted attention as a means to support home medical care or a remote medical care. A TV-based medical service (t-health) for supportive living is proposed, which enables elderly people and physically handicapped people to collect basic parameter values and send them to a remote monitoring center [1]. The authors design, implement and test the solution that provides social health services to elderly people at home based on access to smart TV technology and all services [2]. Wireless body area networks (WBAN) are well-known medical and healthcare IoT systems [3,4,5,6,7]. WBAN consist of a collection of Sensors 2019, 19, 30; doi:10.3390/s19010030 www.mdpi.com/journal/sensors

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