Efficient MAC Adaptive Protocol on Wireless Sensor Network

Authors

DOI:

https://doi.org/10.26555/jiteki.v7i3.22053

Keywords:

Sensor, Network, Lifetime, Efficient, Energy

Abstract

Wireless Sensor Networks (WSNs) have attracted a lot of attention from the research community and industry in recent years. WSNs maintenance associated with battery replacement can increase system operating costs, especially for wireless sensor networks located in hard-to-reach and dangerous places. In this study, an adaptive Medium Access Control (MAC) is proposed that can regulate the period of data acquisition and transmission. In contrast to conventional MAC, the applied adaptive MAC regulates the data transmission period based on the estimated energy use in the previous cycle. This study focuses on comparing energy efficiency between conventional and adaptive MAC. Energy usage information is retrieved directly on the sensor node. In star topology, the proposed MAC can increase the lifetime of the sensor network up to 6.67% in a star topology. In the hierarchical topology, the proposed MAC can increase network energy efficiency up to 9.17%. The resulting increase in network throughput is 17.73% for the Star network and 33.81% for the Hierarchy network. The star topology without implementing adaptive MAC has the lowest throughput of 0.188 kb/s. The highest throughput is achieved by a hierarchical topology that applies MAC with a throughput of 2.157 kb/s.

References

I. Mathews, P. J. King, F. Stafford, and R. Frizzell, “Performance of III-V solar cells as indoor light energy harvesters,†IEEE J. Photovoltaics, vol. 6, no. 1, pp. 230–235, 2016. https://doi.org/10.1109/JPHOTOV.2015.2487825

Y. Liu, Q. Wu, T. Zhao, Y. Tie, F. Bai, and M. Jin, “An improved energy-efficient routing protocol for wireless sensor networks,†Sensors (Switzerland), vol. 19, no. 20, pp. 1–20, 2019. https://doi.org/10.3390/s19204579

J. V. Alamelu and A. Mythili, “Design of IoT based generic health care system,†2017 Int. Conf. Microelectron. Devices, Circuits Syst. ICMDCS 2017, vol. 2017-January, pp. 1–4, 2017. https://doi.org/10.1109/ICMDCS.2017.8211698

R. P. Hudhajanto, N. Fahmi, E. Prayitno, and Rosmida, “Real-Time Monitoring for Environmental Through Wireless Sensor Network Technology,†Proc. 2018 Int. Conf. Appl. Eng. ICAE 2018, pp. 1–5, 2018. https://doi.org/10.1109/INCAE.2018.8579377

R. Elhabyan, W. Shi, and M. St-Hilaire, “Coverage protocols for wireless sensor networks: Review and future directions,†J. Commun. Networks, vol. 21, no. 1, pp. 45–60, 2019. https://doi.org/10.1109/JCN.2019.000005

H. Yu and Q. Yue, “Indoor light energy harvesting system for energy-aware wireless sensor node,†Energy Procedia, vol. 16, no. PART B, pp. 1027–1032, 2012. https://doi.org/10.1016/j.egypro.2012.01.164

S. Nasr and M. Quwaider, “LEACH Protocol Enhancement for Increasing WSN Lifetime,†2020 11th Int. Conf. Inf. Commun. Syst. ICICS 2020, pp. 102–107, 2020. https://doi.org/10.1109/ICICS49469.2020.239542

P. Poulose and P. Sreejaya, “Indoor Light Harvesting Using Dye Sensitized Solar Cell,†2018 Int. CET Conf. Control. Commun. Comput. IC4 2018, pp. 152–156, 2018. https://doi.org/10.1109/CETIC4.2018.8530924

V. Kumar and A. Kumar, “Improving reporting delay and lifetime of a WSN using controlled mobile sinks,†J. Ambient Intell. Humaniz. Comput., vol. 10, no. 4, pp. 1433–1441, 2019. https://doi.org/10.1007/s12652-018-0901-5

Y. Zhou, N. Wang, and W. Xiang, “Clustering Hierarchy Protocol in Wireless Sensor Networks Using an Improved PSO Algorithm,†IEEE Access, vol. 5, pp. 2241–2253, 2017. https://doi.org/10.1109/ACCESS.2016.2633826

Aripriharta, A. Firmansah, M. Yazid, I. D. Wahyono, Muladi, and G. J. Horng, “Modelling of adaptive power management circuit with feedback for self- powered IoT Modelling of adaptive power management circuit with feedback for self-powered IoT,†J. Phys. Conf. Ser., pp. 1–13, 2020. https://doi.org/10.1088/1742-6596/1595/1/012023

A. Firmansah, Aripriharta, I. M. Wirawan, H. W. Herwanto, I. Fadlika, and Muladi, “Design and Experimental Validation of the Self-powered IoT for Indoor Temperature-Humidity Monitoring,†2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE), Oct. 2019, pp. 139–143. https://doi.org/10.1109/ICEEIE47180.2019.8981426

A. Trotta, M. di Felice, L. Bononi, E. Natalizio, L. Perilli, E. F. Scarselli, T. S. Cinotti, and R. Canegallo, “BEE-DRONES: Energy-efficient Data Collection on Wake-Up Radio-based Wireless Sensor Networks,†INFOCOM 2019 - IEEE Conf. Comput. Commun. Work. INFOCOM WKSHPS 2019, pp. 547–553, 2019. https://doi.org/10.1109/INFCOMW.2019.8845046

Muladi, A. Firmansah, Aripriharta, I. A. E. Zaeni, A. N. Handayani, I. M. Wirawan, and G. J. Horng, “Adaptive power management for self-powered IoT on smart shoes,†AIP Conf. Proc., vol. 2228, no. April, 2020. https://doi.org/10.1063/5.0001040

N. R. Roy and P. Chandra, “EEDAC-WSN: Energy Efficient Data Aggregation in Clustered WSN,†2019 Int. Conf. Autom. Comput. Technol. Manag. ICACTM 2019, pp. 586–592, 2019. https://doi.org/10.1109/ICACTM.2019.8776679

J. Zhang, P. Hu, F. Xie, J. Long, and A. He, “An Energy Efficient and Reliable In-Network Data Aggregation Scheme for WSN,†IEEE Access, vol. 6, no. c, pp. 71857–71870, 2018. https://doi.org/10.1109/ACCESS.2018.2882210

C. Xu, Z. Xiong, G. Zhao, and S. Yu, “An energy-efficient region source routing protocol for lifetime maximization in WSN,†IEEE Access, vol. 7, pp. 135277–135289, 2019. https://doi.org/10.1109/ACCESS.2019.2942321

J. Shen, A. Wang, C. Wang, P. C. K. Hung, and C. F. Lai, “An Efficient Centroid-Based Routing Protocol for Energy Management in WSN-Assisted IoT,†IEEE Access, vol. 5, no. 8, pp. 18469–18479, 2017. https://doi.org/10.1109/ACCESS.2017.2749606

S. Khoshabi Nobar, K. Adli Mehr, J. Musevi Niya, and B. Mozaffari Tazehkand, “Cognitive Radio Sensor Network with Green Power Beacon,†IEEE Sens. J., vol. 17, no. 5, pp. 1549–1561, 2017. https://doi.org/10.1109/JSEN.2017.2647878

R. A. Kjellby, L. R. Cenkeramaddi, A. Froytlog, B. B. Lozano, J. Soumya, and M. Bhange, “Long-range Self-powered IoT Devices for Agriculture Aquaponics Based on Multi-hop Topology,†IEEE 5th World Forum Internet Things, WF-IoT 2019 - Conf. Proc., pp. 545–549, 2019. https://doi.org/10.1109/WF-IoT.2019.8767196

D. Ye and M. Z. Au, “A Self-Adaptive Sleep/Wake-Up Scheduling Approach for Wireless Sensor Networks,†IEEE Trans. Cybern., vol. 48, no. 3, pp. 979–992, 2018. https://doi.org/10.1109/TCYB.2017.2669996

F. H. Panahi, F. H. Panahi, S. Heshmati, and T. Ohtsuki, “Optimal Sleep Wakeup Mechanism for Green Internet of Things,†ICEE 2019 - 27th Iran. Conf. Electr. Eng., pp. 1659–1663, 2019. https://doi.org/10.1109/IranianCEE.2019.8786620

V. L. Quintero, C. Estevez, M. E. Orchard, and A. Pérez, “Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach,†IEEE Commun. Surv. Tutorials, vol. 21, no. 2, pp. 1188–1208, 2019. https://doi.org/10.1109/COMST.2018.2875810

W. Ye, J. Heidemann, and D. Estrin, “An energy-efficient MAC protocol for wireless sensor networks,†Proc. - IEEE INFOCOM, vol. 3, no. October 2014, pp. 1567–1576, 2002. https://doi.org/10.1109/INFCOM.2002.1019408

Z. Tonggang, L. I. U. Kai, Z. Zheng, and P. A. N. Dafa, “Research on the Frequency Hopping Algorithm Based on Long-distance Wireless Sensor Network,†pp. 818–821, 2016. https://doi.org/10.1109/IMCCC.2016.63

T. Wu, “A Distance-Based Scheduling Algorithm With a Proactive Bottleneck Removal Mechanism for Wireless Rechargeable Sensor Networks,†vol. 8, 2020. https://doi.org/10.1109/ACCESS.2020.3015911

L. Tang, Z. Lu, and B. Fan, “Energy efficient and reliable routing algorithm for wireless sensors networks,†Appl. Sci., vol. 10, no. 5, 2020. https://doi.org/10.3390/app10051885

A. D. Ball, F. Gu, R. Cattley, X. Wang, and X. Tang, “Energy harvesting technologies for achieving self-powered wireless sensor networks in machine condition monitoring: A review,†Sensors (Switzerland), vol. 18, no. 12, 2018. https://doi.org/10.3390/s18124113

T. Van Dam and K. Langendoen, “An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks,†pp. 171–180, 2003. https://doi.org/10.1145/958491.958512

S.-H. Yang, H.-W. Tseng, E. H. Wu, and G.-H. Chen, “Utilization Based Duty Cycle Tuning MAC Protocol for Wireless Sensor Networks,†pp. 3258–3262, 2005. https://doi.org/10.1109/GLOCOM.2005.1578377

X. Wang, X. Wang, G. Xing, and Y. Yao, “Dynamic Duty Cycle Control for End-to-End Delay Guarantees in Wireless Sensor Networks,†IEEE 18th Int. Work. Qual. Serv., 2010. https://doi.org/10.1109/IWQoS.2010.5542743

H. Byun and J. Yu, “Adaptive Duty Cycle Control with Queue Management in Wireless Sensor Networks,†vol. 12, no. 6, pp. 1214–1224, 2013. https://doi.org/10.1109/TMC.2012.102

K. Nguyen, V. H. Nguyen, D. D. Le, Y. Ji, D. A. Duong, and S. Yamada, “ERI-MAC: An energy-harvested receiver-initiated MAC protocol for wireless sensor networks,†Int. J. Distrib. Sens. Networks, vol. 10, no. 6, 2014. https://doi.org/10.1155/2014/514169

O. Bouachir, A. Ben Mnaouer, F. Touati, and D. Crescini, “EAMP-AIDC - Energy-aware mac protocol with adaptive individual duty cycle for EH-WSN,†2017 13th Int. Wirel. Commun. Mob. Comput. Conf. IWCMC 2017, pp. 2021–2028, 2017. https://doi.org/10.1109/IWCMC.2017.7986594

Muladi, A. Firmansah, Aripriharta, I. A. E. Zaeni, A. N. Handayani, I. M. Wirawan, and G. J. Horng, “A new battery management system for self-powered smart shoes,†AIP Conf. Proc., vol. 2228, no. 1, 2020. https://doi.org/10.1063/5.0001041

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Published

2021-12-07

How to Cite

[1]
A. Firmansah, A. Aripriharta, and S. Sujito, “Efficient MAC Adaptive Protocol on Wireless Sensor Network”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 7, no. 3, pp. 388–401, Dec. 2021.

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Vol. 7 No. 3 (2021): December

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