Low Packet Latency Using New Radio Duty-Cycle Scheduling Method

Authors

  • Onny Setyawati Brawijaya University, Malang
  • Abdur R. Muhammad Brawijaya University, Malang
  • Achmad Basuki Brawijaya University, Malang

DOI:

https://doi.org/10.25126/jitecs.202383566

Abstract

As energy conservation in Wireless Sensor Networks is crucial, the scheduling methods are required to ensure that sensor nodes operate for a longer period. Duty cycle scheduling can be accomplished using synchronous, asynchronous, or on-demand methods with additional radio channels. This study has integrated the on-demand method with an asynchronous scheduling mechanism for the wake-up radio. Model simulation results with random placements showed that the Wake-up Asynchronous On-demand Radio Duty-Cycle (WAORDC) method was able to achieve the latency value of 3.3 seconds, better than the CXMAC asynchronous method, and the total energy required was approximately 4% only, to activate the sensor node.

References

M. A. Iqbal, S. Hussain, H. Xing, and M. Imran, Enabling the Internet of Things. Wiley, 2021. doi: 10.1002/9781119701460.

F. Dian, “FUNDAMENTALS OF INTERNET OF THINGS FUNDAMENTALS OF INTERNET OF THINGS FOR STUDENTS AND PROFESSIONALS.” May 2022.

A. R. Muhammad, O. Setyawati, R. A. Setyawan, and A. Basuki, “WSN Based Microclimate Monitoring System on Porang Plantation,” in 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), IEEE, Oct. 2018, pp. 142–145. doi: 10.1109/EECCIS.2018.8692849.

[C. Chandravathi and K. Mahadevan, “Web Based Cross Layer Optimization Technique for Energy Efficient WSN,” Wirel Pers Commun, vol. 117, no. 4, pp. 2781–2792, Apr. 2021, doi: 10.1007/s11277-020-07047-1.

[N. Sainuddin, J. Mohd Sultan, F. Idris, and M. Azuani, “Data Collision and Interference Minimization in Wireless Sensor Network using Node Data Addressing with Random Access Time,” Jurnal Kejuruteraan, vol. 33, no. 4, pp. 1105–1112, Nov. 2021, doi: 10.17576/jkukm-2021-33(4)-33.

A. B, S. R, and G. R., “Energy Efficiency Mechanisms in Wireless Sensor Networks: A Survey,” Int J Comput Appl, vol. 139, no. 14, pp. 27–33, Apr. 2016, doi: 10.5120/ijca2016908954.

T. Rault, A. Bouabdallah, and Y. Challal, “Energy efficiency in wireless sensor networks: A top-down survey,” Computer Networks, vol. 67, pp. 104–122, Jul. 2014, doi: 10.1016/j.comnet.2014.03.027.

L. Wang, J. Yan, T. Han, and D. Deng, “On Connectivity and Energy Efficiency for Sleeping-Schedule-Based Wireless Sensor Networks,” Sensors, vol. 19, no. 9, p. 2126, May 2019, doi: 10.3390/s19092126.

X. Wang, H. Chen, and S. Li, “A reinforcement learning-based sleep scheduling algorithm for compressive data gathering in wireless sensor networks,” EURASIP J Wirel Commun Netw, vol. 2023, no. 1, p. 28, Mar. 2023, doi: 10.1186/s13638-023-02237-4.

A. A. Amengu, J.-D. Abdulai, F. A. Katsriku, and K. S. Adu-Manu, “SMAC-Based WSN Protocol-Current State of the Art, Challenges, and Future Directions,” Journal of Computer Networks and Communications, vol. 2022, pp. 1–29, Sep. 2022, doi: 10.1155/2022/6707413.

K. Wang, X. Zhao, Y. Shi, D. Xu, and R. Li, “The energy-efficient MDA-SMAC protocol for wireless sensor networks,” EURASIP J Wirel Commun Netw, vol. 2020, no. 1, p. 32, Dec. 2020, doi: 10.1186/s13638-020-1642-7.

M. Miśkowicz, “Unfairness of Random Access with Collision Avoidance in Industrial Internet of Things Networks,” Sensors, vol. 21, no. 21, p. 7135, Oct. 2021, doi: 10.3390/s21217135.

H. Alahmadi and F. Bouabdallah, “Multichannel preamble sampling MAC protocol for wireless sensor networks,” Int J Distrib Sens Netw, vol. 15, no. 5, p. 155014771985095, May 2019, doi: 10.1177/1550147719850951.

R. Piyare, T. Istomin, and A. Murphy, “WaCo: A Wake-Up Radio COOJA Extension for Simulating Ultra Low Power Radios,” May 2017.

R. Piyare, A. L. Murphy, C. Kiraly, P. Tosato, and D. Brunelli, “Ultra Low Power Wake-Up Radios: A Hardware and Networking Survey,” IEEE Communications Surveys & Tutorials, vol. 19, no. 4, pp. 2117–2157, 2017, doi: 10.1109/COMST.2017.2728092.

A. Singh and A. Nagaraju, “Low latency and energy efficient routing-aware network coding-based data transmission in multi-hop and multi-sink WSN,” Ad Hoc Networks, vol. 107, p. 102182, Oct. 2020, doi: 10.1016/j.adhoc.2020.102182.

D. Lan, Z. Pang, C. Fischione, Y. Liu, A. Taherkordi, and F. Eliassen, “Latency Analysis of Wireless Networks for Proximity Services in Smart Home and Building Automation: The Case of Thread,” IEEE Access, vol. 7, pp. 4856–4867, 2019, doi: 10.1109/ACCESS.2018.2888939.

O. Setyawati, A. R. Muhammad, and A. Basuki, “High Efficiency Wake-up Asynchronous On-demand Radio Duty Cycle (WAORDC) Design for WSN,” in 2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), IEEE, Dec. 2021, pp. 266–270. doi: 10.1109/HPBDIS53214.2021.9658466.

A. Djimli, S. Merniz, and S. Harous, “Energy-efficient MAC protocols for wireless sensor networks: a survey,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 17, no. 5, p. 2301, Oct. 2019, doi: 10.12928/telkomnika.v17i5.12163.

I. Onwuegbuzie, S. Razak, and I. Isnin, “Performance Evaluation for ContikiMAC, XMAC, CXMAC and NullMAC Protocols for Energy Efficient Wireless Sensor Networks,” May 2019, pp. 12–17. doi: 10.1109/ICWISE47561.2019.8971832.

M.-P. Uwase, M. Bezunartea, J. Tiberghien, J.-M. Dricot, and K. Steenhaut, “Experimental Comparison of Radio Duty Cycling Protocols for Wireless Sensor Networks,” IEEE Sens J, vol. 17, no. 19, pp. 6474–6482, Oct. 2017, doi: 10.1109/JSEN.2017.2738700.

S. H. Khasteh and H. Rokhsati, “On transmission range of sensors in sparse wireless sensor networks,” Results in Engineering, vol. 18, p. 101108, Jun. 2023, doi: 10.1016/j.rineng.2023.101108.

[P. Prabu, A. N. Ahmed, K. Venkatachalam, S. Nalini, and R. Manikandan, “Energy efficient data collection in sparse sensor networks using multiple Mobile Data Patrons,” Computers & Electrical Engineering, vol. 87, p. 106778, Oct. 2020, doi: 10.1016/j.compeleceng.2020.106778.

Downloads

Published

2023-12-15

How to Cite

Setyawati, O., Muhammad, A. R., & Basuki, A. (2023). Low Packet Latency Using New Radio Duty-Cycle Scheduling Method. Journal of Information Technology and Computer Science, 8(3), 218–230. https://doi.org/10.25126/jitecs.202383566

Issue

Section

Articles