Title

Data traffic classification in wireless sensor network-based home automation systems

College

College of Computer Studies

Department/Unit

Computer Technology

Document Type

Archival Material/Manuscript

Publication Date

2012

Abstract

Ambient intelligent home automation systems allow technologies to be installed within a home to recognize the inhabitant including his or her affect and activities then respond accordingly. A requirement of such systems is to gather data from a multitude of different sensors, each exhibiting different monitoring behavior. While wireless sensor networks (WSN) have been a popular platform to support such applications, they are constrained by low bandwidth and processing power; hence the traffic must be managed so that data may be delivered in a timely manner despite the limited resources. This study aims to propose an approach to classify home automation system traffic based on their delivery requirements, and formulating a data collection algorithm that provides their delivery requirements.

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Disciplines

OS and Networks

Keywords

Wireless sensor networks; Home automation

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