Wireless sensor network for object location within buildings
Structural monitoring using wireless sensor network is an important application of network embedded system with significant commercial potential. Many efforts of research have been dedicated to wireless localization projects. The success of Global Positioning Systems has enhanced outdoor applicat...
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sg-ntu-dr.10356-708172023-07-07T15:58:55Z Wireless sensor network for object location within buildings Vu Viet Linh Wong Kin Shun, Terence School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Structural monitoring using wireless sensor network is an important application of network embedded system with significant commercial potential. Many efforts of research have been dedicated to wireless localization projects. The success of Global Positioning Systems has enhanced outdoor applications in many different areas such as vehicular navigation and lost items recovery. However, due to the high cost of indoor localization and its requirements of precision as well as accuracy, these applications has not yet been possible to be applied within buildings and infrastructures. The objective of this project is to build and demonstrate an experimental low cost wireless sensor network that can be used to locate objects by means of sound signals within a residential building. By this way, there will be no need for a complex indoor localization system which may have significantly high cost and is also very difficult to implement. The main purpose of this simple system is to assist senior citizens who are prone to forget their important objects in the house. Besides from that, this network system can also be used to navigate pathways within the building or serve the mission of signaling in a huge structure. Bachelor of Engineering 2017-05-11T07:36:12Z 2017-05-11T07:36:12Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70817 en Nanyang Technological University 49 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Vu Viet Linh Wireless sensor network for object location within buildings |
description |
Structural monitoring using wireless sensor network is an important application of
network embedded system with significant commercial potential. Many efforts of
research have been dedicated to wireless localization projects. The success of Global
Positioning Systems has enhanced outdoor applications in many different areas such as
vehicular navigation and lost items recovery. However, due to the high cost of indoor
localization and its requirements of precision as well as accuracy, these applications has
not yet been possible to be applied within buildings and infrastructures.
The objective of this project is to build and demonstrate an experimental low cost
wireless sensor network that can be used to locate objects by means of sound signals
within a residential building. By this way, there will be no need for a complex indoor
localization system which may have significantly high cost and is also very difficult to
implement. The main purpose of this simple system is to assist senior citizens who are
prone to forget their important objects in the house. Besides from that, this network
system can also be used to navigate pathways within the building or serve the mission of
signaling in a huge structure. |
author2 |
Wong Kin Shun, Terence |
author_facet |
Wong Kin Shun, Terence Vu Viet Linh |
format |
Final Year Project |
author |
Vu Viet Linh |
author_sort |
Vu Viet Linh |
title |
Wireless sensor network for object location within buildings |
title_short |
Wireless sensor network for object location within buildings |
title_full |
Wireless sensor network for object location within buildings |
title_fullStr |
Wireless sensor network for object location within buildings |
title_full_unstemmed |
Wireless sensor network for object location within buildings |
title_sort |
wireless sensor network for object location within buildings |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/70817 |
_version_ |
1772827685890818048 |