Characterization of RF signal behavior for the use in indoor human presence detection

This paper presents a method or technique that identifies physical intrusion detection in an indoor environment that is based on received signal strength indicator (RSSI) on radio frequency identification. The objective of this paper is two folds. Firstly, is to characterize the signal behavior in...

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Main Authors: Ali, Mahamat Mahamat, Habaebi, Mohamed Hadi, bin Aliasaa, Nazrul Arif, Islam, Md. Rafiqul, Hameed, Shihab A.
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
Online Access:http://irep.iium.edu.my/46053/
http://irep.iium.edu.my/46053/
http://irep.iium.edu.my/46053/1/jeas_1115_2966.pdf
id iium-46053
recordtype eprints
spelling iium-460532018-06-12T06:36:36Z http://irep.iium.edu.my/46053/ Characterization of RF signal behavior for the use in indoor human presence detection Ali, Mahamat Mahamat Habaebi, Mohamed Hadi bin Aliasaa, Nazrul Arif Islam, Md. Rafiqul Hameed, Shihab A. TK5101 Telecommunication. Including telegraphy, radio, radar, television This paper presents a method or technique that identifies physical intrusion detection in an indoor environment that is based on received signal strength indicator (RSSI) on radio frequency identification. The objective of this paper is two folds. Firstly, is to characterize the signal behavior in an indoor environment using statistical measures. Secondly, is to identify the existence of a human presence inside a contained environment (e.g., room). The objective is to use simple means like the recorded readings of the received signal strength indicator (RSSI). The characterization was observed during three distinctive time intervals, namely; empty room, with human presence, and transitional period during link crossings. The experiment was repeatedly conducted for 5 minutes to validate the averaged results. In order to emulate real-life environment, experiments were conducted using Zigbee-compliant iris mote XM2110 and MIB510 programming boards with transmitter and receiver antennas, and interfaced using TinyOS software on Linux. Our results show that there are distinctive statistical features that can utilized as flags to classify the three cases stated above, empty room, occupied and link being crossed. These results motivate the design of alarm system to detect human presence using RSSI statistics only. Asian Research Publishing Network (ARPN) 2015-11-20 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46053/1/jeas_1115_2966.pdf Ali, Mahamat Mahamat and Habaebi, Mohamed Hadi and bin Aliasaa, Nazrul Arif and Islam, Md. Rafiqul and Hameed, Shihab A. (2015) Characterization of RF signal behavior for the use in indoor human presence detection. ARPN Journal of Engineering and Applied Sciences, 10 (21). pp. 9669-9674. ISSN 1819-6608 http://www.arpnjournals.com/jeas/index.htm
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Ali, Mahamat Mahamat
Habaebi, Mohamed Hadi
bin Aliasaa, Nazrul Arif
Islam, Md. Rafiqul
Hameed, Shihab A.
Characterization of RF signal behavior for the use in indoor human presence detection
description This paper presents a method or technique that identifies physical intrusion detection in an indoor environment that is based on received signal strength indicator (RSSI) on radio frequency identification. The objective of this paper is two folds. Firstly, is to characterize the signal behavior in an indoor environment using statistical measures. Secondly, is to identify the existence of a human presence inside a contained environment (e.g., room). The objective is to use simple means like the recorded readings of the received signal strength indicator (RSSI). The characterization was observed during three distinctive time intervals, namely; empty room, with human presence, and transitional period during link crossings. The experiment was repeatedly conducted for 5 minutes to validate the averaged results. In order to emulate real-life environment, experiments were conducted using Zigbee-compliant iris mote XM2110 and MIB510 programming boards with transmitter and receiver antennas, and interfaced using TinyOS software on Linux. Our results show that there are distinctive statistical features that can utilized as flags to classify the three cases stated above, empty room, occupied and link being crossed. These results motivate the design of alarm system to detect human presence using RSSI statistics only.
format Article
author Ali, Mahamat Mahamat
Habaebi, Mohamed Hadi
bin Aliasaa, Nazrul Arif
Islam, Md. Rafiqul
Hameed, Shihab A.
author_facet Ali, Mahamat Mahamat
Habaebi, Mohamed Hadi
bin Aliasaa, Nazrul Arif
Islam, Md. Rafiqul
Hameed, Shihab A.
author_sort Ali, Mahamat Mahamat
title Characterization of RF signal behavior for the use in indoor human presence detection
title_short Characterization of RF signal behavior for the use in indoor human presence detection
title_full Characterization of RF signal behavior for the use in indoor human presence detection
title_fullStr Characterization of RF signal behavior for the use in indoor human presence detection
title_full_unstemmed Characterization of RF signal behavior for the use in indoor human presence detection
title_sort characterization of rf signal behavior for the use in indoor human presence detection
publisher Asian Research Publishing Network (ARPN)
publishDate 2015
url http://irep.iium.edu.my/46053/
http://irep.iium.edu.my/46053/
http://irep.iium.edu.my/46053/1/jeas_1115_2966.pdf
first_indexed 2023-09-18T21:05:32Z
last_indexed 2023-09-18T21:05:32Z
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