An adaptive routing protocol for health monitoring with a sensor network and mobile robot

Su Hen Yang*, Kai-Tai Song

*Corresponding author for this work

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

In this paper, we developed an adaptive route selection algorithm for a Mobile Ad-hoc Network (MANET). This algorithm has been realized and implemented for health monitoring applications with sensor nodes and a mobile robot. The health care devices include a body-pose estimation module, and a SpO2 and ECG sensor module. These sensor modules wore on individuals and the mobile robot itself form a mobile sensor network. Conventional Ad-hoc On-demand Distance Vector (AODV) looks for a route which has the smallest hop count, but the route with the smallest hop count might not be the best route. In this paper we propose a novel routing protocol that features to combine signal strength and battery level into account, and uses fuzzy inference to search for a route with stable RF signals. Simulation results show that the packet delivery ratio increases from 81% to 90%. In practical experiment on a Zigbee MANET, the packet delivery ratio improves from 66% to 94%. The proposed MANET has also been experimented in practical health care application by integrating a pose estimation module, a SpO2 sensor and a mobile robot.

原文English
主出版物標題Proceedings - IECON 2010, 36th Annual Conference of the IEEE Industrial Electronics Society
頁面2187-2192
頁數6
DOIs
出版狀態Published - 1 十二月 2010
事件36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010 - Glendale, AZ, United States
持續時間: 7 十一月 201010 十一月 2010

出版系列

名字IECON Proceedings (Industrial Electronics Conference)

Conference

Conference36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
國家United States
城市Glendale, AZ
期間7/11/1010/11/10

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