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An ultra-low power wireless sensor network for bicycle torque performance measurements
Sadik K Gharghan1,2, Rosdiadee Nordin3, Mahamod Ismail4
1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor 43600, Malaysia. sadiq@siswa.ukm.edu.my.
The Advanced and Adaptive Network Technology (ANT) protocol offers significant power savings for bicycle torque sensors compared to Zigbee. While ANT provides better energy efficiency, Zigbee ensures a longer communication range for cyclist-to-coach data transmission.
Area of Science:
- Sports Technology
- Wireless Sensor Networks
- Energy Efficiency
Background:
- Bicycle torque sensors are crucial for performance analysis.
- Energy efficiency is a key challenge for wireless sensor nodes in cycling applications.
- Balancing power consumption and communication range is essential for practical sensor deployment.
Purpose of the Study:
- To evaluate the energy efficiency of the sleep/wake algorithm for bicycle torque sensor nodes.
- To compare the performance of the Advanced and Adaptive Network Technology (ANT) and Zigbee protocols in terms of power consumption and communication range.
- To develop an analytical model for sensor node current consumption related to cadence.
Main Methods:
- Implemented and tested the sleep/wake algorithm using ANT (Nordic nRF24L01) and Zigbee (XBee S2) protocols.
- Measured and simulated current consumption for both ANT and Zigbee torque sensor nodes.
- Conducted experiments on an outdoor cycling track (velodrome) to determine communication range.
- Derived an analytical model correlating sensor node average current consumption with crank arm cadence.
Main Results:
- The ANT protocol achieved 98% power savings compared to Zigbee when protocols were compared alone.
- Considering all sensor node components, ANT offered approximately 30% power savings over Zigbee.
- Communication range measurements showed 65 m for Zigbee and 50 m for ANT.
- An analytical model was successfully derived to link sensor node current consumption to cadence.
Conclusions:
- The ANT protocol is more suitable for bicycle torque sensor nodes prioritizing power consumption.
- The Zigbee protocol is preferable when a longer communication range is needed for cyclist-to-coach data transmission.
- The sleep/wake algorithm effectively enhances energy efficiency in bicycle sensor nodes.
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