A Low-Power WSN Protocol with ADR and TP Hybrid Control

Hung, Chung-Wen; Zhang, Haojun; Hsu, Wen-Ting; Zhuang, Yi-Da

doi:10.3390/s20205767

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…It indicates the frequency deviation and RX BW (Received Bandwidth) of eight different data rates. These parameters of each data rate are configured according to [30] provided by Texas Instruments. Table 2 presents the actual current corresponding to each transmission power, and the current in this table is the average value.…”

Section: Power Consumption In Different Data Rate and Transmission Powermentioning

confidence: 99%

Transmission Power Control in Wireless Sensor Networks Using Fuzzy Adaptive Data Rate

Hung

Zhuang

Lee

et al. 2022

Sensors

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As the technology of Internet of Things (IoT) becomes popular, the number of sensor nodes also increases. The network coverage, extensibility, and reliability are also the key points of technical development. To address the challenge of environmental restriction and deployment cost, most sensor nodes are powered by batteries. Therefore, the low-power consumption becomes an important issue because of the finite value of battery capacity. In addition, significant interference occurs in the environment, thereby complicating reliable wireless communication. This study proposes a fuzzy-based adaptive data rate for the transmission power control in wireless sensor networks to balance the communication quality and power consumption. The error count and error interval perform the inputs of a fuzzy system and the corresponding fuzzy system output is guard that is utilized for limiting the upper bounds of data rate and transmission power. The long-term experimental results are introduced to demonstrate that the control algorithm can overcome environmental interference and obtain low-power performance. The sensor nodes have reliable communication under an ultra-low-power consumption. The experimental results show that the total power consumption of the proposed approach has been improved 73% compared with the system without executing the algorithm and also indicate the Packet Error Rate (PER) is close to 1%. Therefore, the proposed method is suitable for the battery supply IoT system.

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Section: Power Consumption In Different Data Rate and Transmission Powermentioning

confidence: 99%

Transmission Power Control in Wireless Sensor Networks Using Fuzzy Adaptive Data Rate

Hung

Zhuang

Lee

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The authors of [ 12 ] present an architecture for WSNs based on Sub1G-Hz and a star topology to reduce sensing nodes’ power consumption. The laboratory results determine that nodes’ packet error rate can adequately be commanded near a target value, proving beneficial communication reliability and keeping energy consumption low.…”

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confidence: 99%