A Communication Protocol for Cluster-Chain Wireless Sensor Network Based on Wake-On-Radio
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Abstract
To reduce unnecessary node wake-ups, further lower node energy consumption, and extend the network’s life-cycle, sensor nodes are designed using a low-power micro-controller with electromagnetic wave wake-up capabilities. A cluster-chain wireless sensor network communication protocol is proposed, which activates nodes via electromagnetic waves. The sink node periodically broadcasts intra-cluster synchronization beacon frames to wake up all sensor nodes within the cluster and schedules cluster member nodes to transmit collected data to the cluster head node in time-sharing mode. By broadcasting multiple inter-cluster synchronization beacon frames, adjacent cluster head nodes are sequentially awakened and scheduled, enabling hop-by-hop data transmission until reaching the sink node. Experimental results demonstrate that the communication protocol performance is stable, and the network’s life-cycle is further extended, better meeting engineering application requirements.
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References
D. Z. Xue and W. Huang, “Smart Agriculture Wireless Sensor Routing Protocol and Node Location Algorithm Based on Internet of Things Technology,” IEEE Sensors Journal, vol. 21, no. 22, pp. 24967–24973, 2021.
L. R. Bindu, P. Titus, and D. Dhanya, “Clustered Wireless Sensor Network in Precision Agriculture via Graph Theory,” Intelligent Automation and Soft Computing, vol. 36, no. 2, pp. 1435–1449, 2023.
Y. Padmanaban and M. Muthukumarasamy, “Scalable Grid-Based Data Gathering Algorithm for Environmental Monitoring Wireless Sensor Networks,” IEEE Access, vol. 8, pp. 79357–79367, 2020.
G. Verma and V. Sharma, “A Novel RF Energy Harvester for Event-Based Environmental Monitoring in Wireless Sensor Networks,” IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3189–3203, 2022.
W. Chen and X. Z. Wang, “Coal Mine Safety Intelligent Monitoring Based on Wireless Sensor Network,” IEEE Sensors Journal, vol. 21, no. 22, pp. 25465–25471, 2021.
R. Annapurna and A. C. Sudhir, “Multi-population Firefly Algorithm Based Node Deployment in Underwater Wireless Sensor Networks,” Wireless Personal Communications, vol. 130, no. 1, pp. 635–649, 2023.
C. Z. Xu, S. S. Song, et al., “An Efficient Deployment Scheme With Network Performance Modeling for Underwater Wireless Sensor Networks,” IEEE Internet of Things Journal, vol. 11, no. 5, pp. 8345–8359, 2024.
X. Xue, W. Sun, et al., “RVFL-LQP: RVFL-Based Link Quality Prediction of Wireless Sensor Networks in Smart Grid,” IEEE Access, vol. 8, pp. 7829–7841, 2020.
A. Sultana, A. Bardalai, and K. K. Sarma, “Wireless Sensor Network Based Smart Grid Supported by a Cognitively Driven Load Management Decision Making,” Neural Processing Letters, vol. 52, no. 1, pp. 663–678, 2020.
H. T. Huang, H. P. Tserng, et al., “Wireless Sensor Network-Based Monitoring of Bridge Pile Foundations for Detecting Scouring Depth,” Journal of Marine Science and Technology–Taiwan, vol. 29, no. 1, pp. 73–88, 2021.
S. H. Ali, T. M. R. Khan, et al., “Wireless Sensor Network-Based Structural Health Monitoring of Bridges Using Advanced Signal Processing Techniques,” Journal of Testing and Evaluation, vol. 49, no. 2, pp. 1266– 1283, 2021.
Z. S. Ni, S. R. Cai, and C. R. Ni, “Application of Wireless Sensor Network Based on Improved Genetic Algorithm in Bridge Health Monitoring,” Sensors and Materials, vol. 35, no. 5, pp. 1659–1670, 2023.