An adaptive low power schedule for wireless sensor network
A Wireless Sensor Network (WSN) is used in many applications such as remote monitoring and tracking, healthcare, industrial settings, automated and self-adjusting systems at homes and factories. In these systems, energy consumption is a major concern as most devices in the network rely on small ba...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/2608/1/FH03-FIK-20-49949.pdf http://eprints.unisza.edu.my/2608/2/FH03-FIK-21-50458.pdf http://eprints.unisza.edu.my/2608/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-unisza-ir.2608 |
|---|---|
| record_format |
eprints |
| spelling |
my-unisza-ir.26082021-02-15T04:41:21Z http://eprints.unisza.edu.my/2608/ An adaptive low power schedule for wireless sensor network Wan Nor Shuhadah, Wan Nik Nor Aida, Mahiddin Almamoon, Alauthman T Technology (General) TK Electrical engineering. Electronics Nuclear engineering A Wireless Sensor Network (WSN) is used in many applications such as remote monitoring and tracking, healthcare, industrial settings, automated and self-adjusting systems at homes and factories. In these systems, energy consumption is a major concern as most devices in the network rely on small batteries for energy source. In such cases, minimization of energy usage can prolong the lifetime of sensor’s battery. Therefore, this paper proposed a strategy to improve the efficiency of power consumption in WSN by decreasing the number of idle listening state which further reduces power consumption. By doing this, it is expected that network life time can be prolonged. Undoubtedly, large amount of energy is wasted in idle listening state. We intelligently improved the original TPO technique in order to achieve less power consumption. The experiments is conducted by using Omnet++ 4.6 with Mixim library and the results showed that when compared with the original TPO technique, the proposed technique achieves significant energy saving which is up to 39.3% better than the original TPO technique. 2021 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/2608/1/FH03-FIK-20-49949.pdf text en http://eprints.unisza.edu.my/2608/2/FH03-FIK-21-50458.pdf Wan Nor Shuhadah, Wan Nik and Nor Aida, Mahiddin and Almamoon, Alauthman (2021) An adaptive low power schedule for wireless sensor network. In: IT Convergence and Security, 19-21 Aug 2020. |
| institution |
Universiti Sultan Zainal Abidin |
| building |
UNISZA Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Sultan Zainal Abidin |
| content_source |
UNISZA Institutional Repository |
| url_provider |
https://eprints.unisza.edu.my/ |
| language |
English English |
| topic |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Wan Nor Shuhadah, Wan Nik Nor Aida, Mahiddin Almamoon, Alauthman An adaptive low power schedule for wireless sensor network |
| description |
A Wireless Sensor Network (WSN) is used in many applications such as remote monitoring and tracking, healthcare,
industrial settings, automated and self-adjusting systems at homes and factories. In these systems, energy
consumption is a major concern as most devices in the network rely on small batteries for energy source. In such
cases, minimization of energy usage can prolong the lifetime of sensor’s battery. Therefore, this paper proposed a
strategy to improve the efficiency of power consumption in WSN by decreasing the number of idle listening state
which further reduces power consumption. By doing this, it is expected that network life time can be prolonged.
Undoubtedly, large amount of energy is wasted in idle listening state. We intelligently improved the original TPO
technique in order to achieve less power consumption. The experiments is conducted by using Omnet++ 4.6 with
Mixim library and the results showed that when compared with the original TPO technique, the proposed technique
achieves significant energy saving which is up to 39.3% better than the original TPO technique. |
| format |
Conference or Workshop Item |
| author |
Wan Nor Shuhadah, Wan Nik Nor Aida, Mahiddin Almamoon, Alauthman |
| author_facet |
Wan Nor Shuhadah, Wan Nik Nor Aida, Mahiddin Almamoon, Alauthman |
| author_sort |
Wan Nor Shuhadah, Wan Nik |
| title |
An adaptive low power schedule for wireless sensor network |
| title_short |
An adaptive low power schedule for wireless sensor network |
| title_full |
An adaptive low power schedule for wireless sensor network |
| title_fullStr |
An adaptive low power schedule for wireless sensor network |
| title_full_unstemmed |
An adaptive low power schedule for wireless sensor network |
| title_sort |
adaptive low power schedule for wireless sensor network |
| publishDate |
2021 |
| url |
http://eprints.unisza.edu.my/2608/1/FH03-FIK-20-49949.pdf http://eprints.unisza.edu.my/2608/2/FH03-FIK-21-50458.pdf http://eprints.unisza.edu.my/2608/ |
| _version_ |
1692995966036082688 |
| score |
13.211869 |