DocumentCode :
1842758
Title :
An adaptive routing protocol for health monitoring with a sensor network and mobile robot
Author :
Yang, Su-Hen ; Song, Kai-Tai
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
2187
Lastpage :
2192
Abstract :
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.
Keywords :
Zigbee; body sensor networks; electrocardiography; medical robotics; mobile ad hoc networks; mobile robots; pose estimation; routing protocols; ECG; Manet; SpO2; Zigbee; ad hoc on-demand distance vector; adaptive routing protocol; body pose estimation; fuzzy inference; health monitoring; mobile ad hoc network; mobile robot; sensor nodes; wireless sensor network; Batteries; Medical services; Robot kinematics; Robot sensing systems; Routing; Routing protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5675060
Filename :
5675060
Link To Document :
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