文件名称:Transmission Power Optimisation Algorithm for Wireless Sensor Networks
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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
XbeeWSNthat uses a modifiedMixed Hop and signalReceived 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%
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
XbeeWSNthat uses a modifiedMixed Hop and signalReceived 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%
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压缩包 : Ramsurrun2021_Chapter_ATransmissionPowerOptimisation.rar 列表 Ramsurrun2021_Chapter_ATransmissionPowerOptimisation.pdf