posted on 2022-03-28, 18:22authored byJustin Bajar
eHealth is an important field that will become widely used as a component to lower health costs and provide coverage to as much of the population as possible. The many systems provide monitoring with classifications of events such as Activity of Daily Living and/or fall detection through the use of wireless networks and data communications. much work has been done in evaluating the performance of those systems under a single network. This paper aims to fill some gaps in the field by providing traffic characteristics of a system that operates over two networks (WBAN & WLAN) under different traffic conditions. AMATLAB simulation was developed which simulates and eHealth system that provides monitoring and classification functions that observes the effects that scaling the number of sensor nodes has on the system. The simulation simulates n number of sensor nodes communicating over a WBAN using CSMA/CA to the BNC where data is forwarded to a local server over a saturated WLAN using CSMA/CA. The results show that the WBAN is capable of supporting a 50 node network with room for more. However, when examining the results over the whole system, from sensor to server, a bottleneck starts to appear early on with 10 sensors at the BNC despite WLAN performing better than WBAN in terms of data rates. This paper attempts to explain the reasoning behind these unexpected results and highlights possible areas of improvement and future work.
History
Table of Contents
1. Introduction -- 2. Background and related work -- 3. eHeakth system simulation -- 4. Results and discussion -- 5. Conclusion and future work -- 6. Abbreviations -- Appendices -- Bibliography.
Notes
Bibliography: page 57
Empirical thesis.
Awarding Institution
Macquarie University
Degree Type
Thesis bachelor honours
Degree
BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering
Department, Centre or School
School of Engineering
Year of Award
2016
Principal Supervisor
Rein Vesilo
Rights
Copyright Justin Bajar 2016.
Copyright disclaimer: http://mq.edu.au/library/copyright