Adaptive Rule Engine Based Iot Enabled Remote Health Care Data Acquisition and Smart Transmission System

Kiran, M P R S and P, Rajalakshmi and Bharadwaj, K and Acharyya, Amit (2014) Adaptive Rule Engine Based Iot Enabled Remote Health Care Data Acquisition and Smart Transmission System. In: IEEE World Forum on Internet of Things, WF-IoT, 6-8, March 2014, Seoul; South Korea.

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Abstract

In the remote health care monitoring applications, the collected medical data from bio-medical sensors should be transmitted to the nearest gateway for further processing. Transmission of data contributes to a significant amount of power consumption by the transmitter and increase in the network traffic. In this paper we propose a low complex rule engine based health care data acquisition and smart transmission system architecture, which uses IEEE 802.15.4 standard for transferring data to the gateway. The power consumed and the network traffic generated by the device can be reduced by event based transmission rather than continuous transmission of data. We developed two different rule engines: static rule engine and adaptive rule engine, which decides whether to transmit the collected data based on the important features extracted from the data, thereby achieving power saving. In this paper, ECG data acquisition and transmission architecture is considered. The metrics used for performance analysis are the amount of power saving and reduction in network traffic. It is shown that the proposed rule engine gives a significant reduction in energy consumption and network traffic generated

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IITH Creators:
IITH CreatorsORCiD
P, RajalakshmiUNSPECIFIED
Acharyya, Amithttp://orcid.org/0000-0002-5636-0676
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Adaptive rule engine, ECG, IEEE 802.15.4, data rate, energy consumption
Subjects: Others > Electricity
Divisions: Department of Civil Engineering
Depositing User: Team Library
Date Deposited: 17 Dec 2014 09:34
Last Modified: 04 Sep 2017 09:54
URI: http://raiith.iith.ac.in/id/eprint/1190
Publisher URL: https://doi.org/10.1109/WF-IoT.2014.6803168
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