End to end delay minimization for ZigBee healthcare monitoring system in ambient assisted living
Buthelezi, Bongisizwe Erasmus
Buthelezi, Bongisizwe Erasmus
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Abstract
Ambient Assisted Living (AAL) is an emerging multidisciplinary research area where different technologies such as Internet of Things (IoT), Wireless Sensor Networks (WSN), Artificial Intelligence (AI) etc. are integrated. The general goal of AAL is to apply Ambient Intelligence (AmI) technology to elderly and people with disabilities to live a better life in their preferred environment with Information and Communication Technology (ICT). ZigBee is one of the Wireless Sensor Network that can be implemented in AAL as a communication technology for sensory devices. In WSN applications such as homes, hospitals, clinics and other industrial areas, the number of wireless sensor devices continues to increase. End-to-end delay of packets, loss of packets, packets collision and bandwidth are some of the major issues experienced in WSN. In this study, ZigBee routing protocols are studied and analysed. High network latency is identified as one of the shortcomings of ZigBee Tree Routing protocol. This shortcoming is caused by the end-to-end delay of packets as they are routed on a Tree topology. In response to this shortcoming, this study is proposing a New Tree Routing Protocol (NTRP) algorithm that attempts to improve the original ZigBee Tree Routing protocol. NTRP is an output of merging ZigBee Tree Routing algorithm and Kruskal’s Minimum Spanning Tree Protocol. NS-2 simulator is used to validate the proposed NTRP. The results are compared to protocols such as and the Velocity Energy efficient and Link Aware Cluster Tree (VELCT). NTRP algorithm reduces end-to-end delay by 11% and the rate of energy consumption is reduced by 10%, average delivery ratio is 94.5%, and the throughput is 86.91%. These results show that the proposed NTRP is better than VELCT and STR.
Description
Dissertation submitted in partial fulfillment of the requirements for the degree Magister Technologiae: Information Technology (Communication Networks) in the Department of Information Technology in the Faculty of Information and Communication Technology at the Tshwane University of Technology.
Date
2018-10-01
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Tshwane University of Technology
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Keywords
Ambient Intelligent., Ambient Assistive Living., Wireless Sensor Network., ZigBee Protocol., Healthcare Monitoring Systems.