Research Article
A Transmission Power Optimisation Algorithm for Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-030-70572-5_5, author={Visham Ramsurrun and Panagiota Katsina and Sumit Anantwar and Amar Seeam and Sheik Muhammad Arshad Mamode Cassim}, title={A Transmission Power Optimisation Algorithm for Wireless Sensor Networks}, proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 12th EAI International Conference, AFRICOMM 2020, Eb\'{e}ne City, Mauritius, December 2-4, 2020, Proceedings}, proceedings_a={AFRICOMM}, year={2021}, month={7}, keywords={Wireless sensor networks Transmission Power Optimisation Algorithm Received Signal Strength Indicator Xbee MHRWSN}, doi={10.1007/978-3-030-70572-5_5} }- Visham Ramsurrun
Panagiota Katsina
Sumit Anantwar
Amar Seeam
Sheik Muhammad Arshad Mamode Cassim
Year: 2021
A Transmission Power Optimisation Algorithm for Wireless Sensor Networks
AFRICOMM
Springer
DOI: 10.1007/978-3-030-70572-5_5
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 operations while maintaining a packet reception rate of above 85%.