Data traffic classification in wireless sensor network-based home automation systems
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 differe...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2012
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/8593 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Summary: | 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. |
|---|