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An improvement approach for reducing transmission power in wireless sensor networks

Monir, Md Fahad and Habaebi, Mohamed Hadi and Zyoud, Al-Hareth (2019) An improvement approach for reducing transmission power in wireless sensor networks. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (8S). pp. 65-75. ISSN 2278-3075

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Adoption of Wireless Sensor Networks (WSN) is rising dramatically and a subsequent amount of research has done on WSN power efficiency. Node power consumption reduction is an important part of study in ZigBee WSN, in order to reduce overall WSN power consumption for different applications. One approach is transmission power control for reducing WSN power consumption. In this paper, we present a Transmit Power Control mechanism (TPC), where we use Received Signal Strength Indicator (RSSI) matrix to determine the minimum required level for successful packet delivery utilizing periodically broadcast signals in WSN. We analysis the behavior of the proposed mechanism with respect to different parameter settings such as node position and antenna polarization. A testbed is used for collecting data. After that, we benchmark the result with Non-TPC mechanism. It is observed that the proposed mechanism could provide up to 60% power saving in a specific testbed setup. We also notice that the average transmitting power is inversely proportional with respect to the height of WSN nodes (from 0 meter height)

Item Type: Article (Journal)
Additional Information: 6727/73299
Uncontrolled Keywords: wireless sensor networks; transmit power control mechanism; received signal strength indicator; antenna polarization; internet of things; sensor nodes; power management; ZigBee
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Mohamed Hadi Habaebi
Date Deposited: 18 Jul 2019 16:12
Last Modified: 24 Nov 2019 19:58
URI: http://irep.iium.edu.my/id/eprint/73299

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