A transmission power optimisation algorithm for wireless sensor networks

Conference paper

Ramsurrun, V., Katsina, P., Anantwar, S., Seeam, A. and Cassim, S. 2021. A transmission power optimisation algorithm for wireless sensor networks. Zitouni, R., Phokeer, A., Chavula, J., Elmokashfi, A., Gueye, A. and Benamar, N. (ed.) AFRICOMM: 12th EAI International Conference on e-Infrastructure and e-Services for Developing Countries. Ebène City, Mauritius 02 - 04 Dec 2020 Springer. pp. 74-85 https://doi.org/10.1007/978-3-030-70572-5_5
TypeConference paper
TitleA transmission power optimisation algorithm for wireless sensor networks
AuthorsRamsurrun, V., Katsina, P., Anantwar, S., Seeam, A. and Cassim, S.
Abstract

Wireless sensor networks (WSN) consist of a collection of independent sensor nodes that monitor certain conditions in different locations and transfer data through a network to an endpoint called base station. Because WSN nodes are often deployed outdoors where a direct power outlet may not be available, energy efficiency becomes a key factor in the design of WSNs. This work proposes an antenna transmission power optimisation algorithm (TPOA) which dynamically adjusts the power level of the transmission according to the last received signal strength indicator (RSSI). The mechanism was implemented and tested on an Xbee WSN that uses a modified Mixed Hop and signal Received routing for mobile Wireless Sensor Networks (MHRWSN) protocol. The energy consumption results have shown that the proposed system can save as much as 76% of power in Tx operations while maintaining a packet reception rate of above 85%.

Sustainable Development Goals11 Sustainable cities and communities
Middlesex University ThemeCreativity, Culture & Enterprise
ConferenceAFRICOMM: 12th EAI International Conference on e-Infrastructure and e-Services for Developing Countries
Page range74-85
Proceedings TitleTowards new e-Infrastructure and e-Services for Developing Countries: 12th EAI International Conference, AFRICOMM 2020, Ebène City, Mauritius, December 2-4, 2020, Proceedings
SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
EditorsZitouni, R., Phokeer, A., Chavula, J., Elmokashfi, A., Gueye, A. and Benamar, N.
ISSN1867-8211
Electronic1867-822X
ISBN
Paperback9783030705718
Electronic9783030705725
PublisherSpringer
Publication dates
Online04 Mar 2021
Print04 Mar 2021
Publication process dates
Deposited05 Oct 2022
Accepted01 Feb 2021
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-70572-5_5
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-030-70572-5
LanguageEnglish
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