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Novel Energy Efficient Schemes for Wireless Sensor Networks Utilizing Mobile Sensors

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Advances in Engineering Research and Application (ICERA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 602))

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Abstract

Wireless sensor networks (WSNs) facilitate many applications in different fields and are well-known in both academic and industrial areas. The networks mainly include sensors, networking parts and a data processing center to collect data for a variety of purposes. However, the energy consumption problem in the networks is always a critical problem that many researchers are looking for good solutions. In this paper, we propose a data collection method that uses mobile sensors attached with bigger energy storages to collect data from static sensors. In addition, we propose a hybrid energy harvesting scheme to harvest energy from ambient environments to support static sensors to prolong the network lifetime. Some algorithms are provided to support the networks either with data collection or harvesting energy. We outline various possibilities for powering the gadgets with solar and RF energy gathering. In particular, all the circuits that are constructed using mathematical equations are offered. All of the network possibilities are clarified using simulation and experimental results. The outcomes are encouraging and useful.

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References

  1. Quang, V.T., Miyoshi, T.: Adaptive routing protocol with energy efficiency and event clustering for wireless sensor networks. IEICE Trans. Commun. 91(9), 2795–2805 (2008)

    Google Scholar 

  2. Nguyen, M.T., Teague, K.A.: Neighborhood based data collection in wireless sensor networks employing compressive sensing. In: 2014 International Conference on Advanced Technologies for Communications (ATC 2014), pp. 198–203 (2014). https://doi.org/10.1109/ATC.2014.7043383

  3. Nguyen, M.T., Teague, K.A., Rahnavard, N.: CCS: energy-efficient data collection in clustered wireless sensor networks utilizing block-wise compressive sensing. Comput. Netw. 106, 171–185 (2016). https://doi.org/10.1016/j.comnet.2016.06.029

    Article  Google Scholar 

  4. Tran-Quang, V., Miyoshi, T.: A novel gossip-based sensing coverage algorithm for dense wireless sensor networks. Comput. Netw. 53(13), 2275–2287 (2009)

    Article  MATH  Google Scholar 

  5. Li, Y., Liang, Y.: Compressed sensing in multi-hop large-scale wireless sensor networks based on routing topology tomography. IEEE Access 6, 27637–27650 (2018)

    Article  Google Scholar 

  6. Nguyen, M.T.: Minimizing energy consumption in random walk routing for wireless sensor networks utilizing compressed sensing. In: 2013 8th International Conference on System of Systems Engineering, pp. 297–301 (2013). https://doi.org/10.1109/SYSoSE.2013.6575283

  7. Nguyen, M.T., Teague, K.A.: Tree-based energy-efficient data gathering in wireless sensor networks deploying compressive sensing. In: 2014 23rd Wireless and Optical Communication Conference (WOCC). IEEE (2014)

    Google Scholar 

  8. Altoaimy, L., Kurdi, H., Alromih, A., Alomari, A., Alrogi, E., Ahmed, S.H.: Enhanced distance-based gossip protocols for wireless sensor networks. In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 1–4 (2019). https://doi.org/10.1109/CCNC.2019.8651701

  9. Nguyen, M.T., Teague, K.A.: Distributed DCT based data compression in clustered wireless sensor networks. In: 2015 11th International Conference on the Design of Reliable Communication Networks (DRCN). IEEE (2015)

    Google Scholar 

  10. Natsume, K., Ohta, M., Adachi, K., Takyu, O., Fujii, T.: DCT compression scheme for wireless sensor information considering spatial correlation. Int. Conf. Inf. Netw. (ICOIN) 2021, 192–196 (2021). https://doi.org/10.1109/ICOIN50884.2021.9333961

    Article  Google Scholar 

  11. Nguyen, M.T., Teague, K.A.: Compressive sensing based random walk routing in wireless sensor networks. Ad Hoc Netw. 54, 99–110 (2017)

    Article  Google Scholar 

  12. Nguyen, M.T., Teague, K.A.: Compressive sensing based energy-efficient random routing in wireless sensor networks. In: 2014 International Conference on Advanced Technologies for Communications (ATC 2014), pp. 187–192 (2014). https://doi.org/10.1109/ATC.2014.7043381

  13. Nguyen, M.T., Teague, K.A.: Compressive and cooperative sensing in distributed mobile sensor networks. In: MILCOM 2015—2015 IEEE Military Communications Conference, pp. 1033–1038 (2015). https://doi.org/10.1109/MILCOM.2015.7357581

  14. Nguyen, M.T., Boveiri, H.R.: Energy-efficient sensing in robotic networks. Measurement, vol. 158 (2020)

    Google Scholar 

  15. Nguyen, M.T., Teague, K.A.: Random sampling in collaborative and distributed mobile sensor networks utilizing compressive sensing for scalar field mapping. In: 2015 10th System of Systems Engineering Conference (SoSE), pp. 1–6 (2015). https://doi.org/10.1109/SYSOSE.2015.7151962

  16. Nguyen, M.T., La, H.M., Teague, K.A.: Collaborative and compressed mobile sensing for data collection in distributed robotic networks. IEEE Trans. Control Netw. Syst. 5(4), 1729–1740 (2018). https://doi.org/10.1109/TCNS.2017.2754364

    Article  MathSciNet  MATH  Google Scholar 

  17. Nguyen, M.T., Teague, K.A., Bui, S.: Compressive wireless mobile sensing for data collection in sensor networks. Int. Conf. Adv. Technol. Commun. (ATC) 2016, 437–441 (2016). https://doi.org/10.1109/ATC.2016.7764822

    Article  Google Scholar 

  18. Ren, Q., Yao, G.: Enhancing harvested energy utilization for energy harvesting wireless sensor networks by an improved uneven clustering protocol. IEEE Access 9, 119279–119288 (2021). https://doi.org/10.1109/ACCESS.2021.3108469

    Article  Google Scholar 

  19. Tran, H.T., Nguyen, M.T., Nguyen, C.V., Ala, G., Viola, F., Colak, I.: Hybrid solar-RF energy harvesting mechanisms for remote sensing devices. Int. J. Renew. Energy Res. IJRER 12(1) (2022)

    Google Scholar 

  20. Jadhav, S.B., Lambor, S.M.: Hybrid solar and radio frequency (RF) energy harvesting. In: 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), pp. 1975–1980 (2017)

    Google Scholar 

  21. Nguyen, M.T., Tran, H., Nguyen, C.V., Ala, G., Viola, F., Colak, I.: A novel framework of hybrid harvesting mechanisms for remote sensing devices. In: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON 2022), (Palermo, Italy) (2022)

    Google Scholar 

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Acknowledgements

The author would like to thank Thai Nguyen University of Technology (TNUT), Viet Nam for the support.

Author information

Authors and Affiliations

  1. Thai Nguyen University of Technology, Thai Nguyen City, 240000, Vietnam

    Minh T. Nguyen

  2. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, 240000, Vietnam

    Cuong V. Nguyen

  3. Electric Power University, Ha Noi, 100000, Vietnam

    Quynh C. Le

  4. Duy Tan University, Da Nang, 550000, Vietnam

    Binh D. Ha & Hoang T. Tran

  5. Ha Noi University of Science and Technology, Ha Noi, 100000, Vietnam

    Vuong Q. Dang

  6. University of Transport and Communications, Ha Noi, 100000, Vietnam

    Mien L. Trinh

  7. University of Palermo, Viale Delle Scienze, Parco d’Orleans, 90128, Palermo, PA, Italy

    Fabio Viola

Authors
  1. Minh T. Nguyen
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  2. Cuong V. Nguyen
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  3. Quynh C. Le
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  4. Binh D. Ha
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  5. Hoang T. Tran
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  6. Vuong Q. Dang
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  7. Mien L. Trinh
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  8. Fabio Viola
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Corresponding author

Correspondence to Minh T. Nguyen .

Editor information

Editors and Affiliations

  1. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  2. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  3. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  4. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

  5. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

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Nguyen, M.T. et al. (2023). Novel Energy Efficient Schemes for Wireless Sensor Networks Utilizing Mobile Sensors. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_76

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  • DOI: https://doi.org/10.1007/978-3-031-22200-9_76

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22199-6

  • Online ISBN: 978-3-031-22200-9

  • eBook Packages: EngineeringEngineering (R0)

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