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Published in: Wireless Personal Communications 2/2021

02-01-2021

An Integrated Piezoelectric Sensor Based Energy Efficient Transmission Using Base-Station Controlled Dynamic Clustering Protocol

Authors: Arunkumar Subramanian, Vinoth Kumar Bojan

Published in: Wireless Personal Communications | Issue 2/2021

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Abstract

A piezoelectric sensor based energy efficient transmission using base station controlled dynamic clustering protocol (BSCDCP) is proposed in this work. The piezoelectric sensor design and simulation is analyzed with the help of COMSOL finite element modeling and location based energy efficient routing is estimated by BSCDCP hierarchical routing techniques. The sensor voltage 5.2 V–1 g acceleration and electrical load impedance 12 Ω is distributed uniform voltage to all the nodes and analyze piezoelectric sensor performance based on BSCDCP protocol. The number of iterations the life time of sensor node is increasing with the help of piezoelectric sensor. The numerical results show that 95% accuracy when increase the distance and number of nodes also it suggest to improve the life time of piezoelectric sensor. By using BSCDCP protocol, the optimize piezoelectric sensor frequency and generated voltage is enhance and time duration 0.5 µs is achieved and simulation done with number of nodes, which is very fast compared to existing protocol techniques. The overall protocol is best suitable for energy efficient routing for large volume with less latency and accuracy.

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Literature
4.
go back to reference Yoo, J., et al. (2010). A 5.2 mW self-configured wearable body sensor network controller and a 12 W wirelessly powered sensor for a continuous health monitoring system. IEEE Journal of Solid-State Circuits, 45(1), 178–188.CrossRef Yoo, J., et al. (2010). A 5.2 mW self-configured wearable body sensor network controller and a 12 W wirelessly powered sensor for a continuous health monitoring system. IEEE Journal of Solid-State Circuits, 45(1), 178–188.CrossRef
6.
go back to reference Shivaprakash, T., Badrinath, G. S., Chandrakanth, N., Venugopal, K. R., & Patnaik, L. M. (2006). Energy Efficient Routing in Adhoc Networks. In 2006 fourth international conference on intelligent sensing and information processing (pp. 209–216). Bangalore. https://doi.org/10.1109/ICISIP.2006.4286098. Shivaprakash, T., Badrinath, G. S., Chandrakanth, N., Venugopal, K. R., & Patnaik, L. M. (2006). Energy Efficient Routing in Adhoc Networks. In 2006 fourth international conference on intelligent sensing and information processing (pp. 209–216). Bangalore. https://​doi.​org/​10.​1109/​ICISIP.​2006.​4286098.
10.
go back to reference Kim, M.-O., et al. (2018). Flexible and multi-directional piezoelectric energy harvester for selfpowered human motion sensor. Smart Materials and Structures, 27, 035001.CrossRef Kim, M.-O., et al. (2018). Flexible and multi-directional piezoelectric energy harvester for selfpowered human motion sensor. Smart Materials and Structures, 27, 035001.CrossRef
12.
go back to reference Nabavi, S., & Zhang, L. (2017). Design and optimization of MEMS piezoelectric energy harvesters for improved efficiency. In 2017 IEEE Sensors (pp. 1–3). Nabavi, S., & Zhang, L. (2017). Design and optimization of MEMS piezoelectric energy harvesters for improved efficiency. In 2017 IEEE Sensors (pp. 1–3).
13.
go back to reference Nabavi, S., & Zhang, L. (2016). MEMS piezoelectric energy harvester design and optimization based on Genetic Algorithm. In 2016 IEEE International Ultrasonics Symposium (IUS) (pp. 1–4). Nabavi, S., & Zhang, L. (2016). MEMS piezoelectric energy harvester design and optimization based on Genetic Algorithm. In 2016 IEEE International Ultrasonics Symposium (IUS) (pp. 1–4).
14.
go back to reference Nabavi, S., Member, S., & Zhang, L. (2017). Design and optimization of piezoelectric MEMS vibration energy harvesters based. IEEE Sensors Journal, 17(22), 7372–7382.CrossRef Nabavi, S., Member, S., & Zhang, L. (2017). Design and optimization of piezoelectric MEMS vibration energy harvesters based. IEEE Sensors Journal, 17(22), 7372–7382.CrossRef
15.
go back to reference Manikandan, A., & Pradeep, S. (2017c). Quantitative analysis of network arrangement in randomized appropriation in WSN. Journal of Chemical and Pharmaceutical Sciences, 1, 181–184 Manikandan, A., & Pradeep, S. (2017c). Quantitative analysis of network arrangement in randomized appropriation in WSN. Journal of Chemical and Pharmaceutical Sciences, 1, 181–184
16.
go back to reference Moorthi, M., & Thiagarajan, R. (2020). Energy consumption and network connectivity based on Novel-LEACH-POS protocol networks. Computer Communications, 149, 90–98.CrossRef Moorthi, M., & Thiagarajan, R. (2020). Energy consumption and network connectivity based on Novel-LEACH-POS protocol networks. Computer Communications, 149, 90–98.CrossRef
17.
go back to reference Mohamed, R. E., Ghanem, W. R., Khalil, A. T., Elhoseny, M., Sajjad, M., & Mohamed, M. A. (2018). Energy efficient collaborative proactive routing protocol for wireless sensor network. Computer Networks, 142, 154–167.CrossRef Mohamed, R. E., Ghanem, W. R., Khalil, A. T., Elhoseny, M., Sajjad, M., & Mohamed, M. A. (2018). Energy efficient collaborative proactive routing protocol for wireless sensor network. Computer Networks, 142, 154–167.CrossRef
18.
go back to reference Ahmad, A., Javaid, N., Qasim, U., Ishfaq, M., Khan, Z., & Alghamdi, T. (2014). A new energy-efficient routing protocol for wireless body area sensor networks. International Journal of Distributed Sensor Networks, 10, 464010.CrossRef Ahmad, A., Javaid, N., Qasim, U., Ishfaq, M., Khan, Z., & Alghamdi, T. (2014). A new energy-efficient routing protocol for wireless body area sensor networks. International Journal of Distributed Sensor Networks, 10, 464010.CrossRef
19.
go back to reference Wang, Q., Guo, S., Hu, J., & Yang, Y. (2018). Spectral partitioning and fuzzy C-means based clustering algorithm for big data wireless sensor networks. Journal on Wireless Communications and Networking, 2018, 54.CrossRef Wang, Q., Guo, S., Hu, J., & Yang, Y. (2018). Spectral partitioning and fuzzy C-means based clustering algorithm for big data wireless sensor networks. Journal on Wireless Communications and Networking, 2018, 54.CrossRef
20.
go back to reference Senouci, M. R., & Mellouk, A. (2019). A robust uncertainty-aware cluster-based deployment approach for WSNs: Coverage, connectivity, and lifespan. Journal of Network and Computer Applications, 146, 102414.CrossRef Senouci, M. R., & Mellouk, A. (2019). A robust uncertainty-aware cluster-based deployment approach for WSNs: Coverage, connectivity, and lifespan. Journal of Network and Computer Applications, 146, 102414.CrossRef
21.
go back to reference Alghamdi, T. A. (2018). Secure and energy efficient path optimization technique in wireless sensor networks using DH method. IEEE Access: Practical Innovations, Open Solutions, 6, 53576–53582.CrossRef Alghamdi, T. A. (2018). Secure and energy efficient path optimization technique in wireless sensor networks using DH method. IEEE Access: Practical Innovations, Open Solutions, 6, 53576–53582.CrossRef
22.
go back to reference Krishnan, M., Yun, S., & Jung, Y. M. (2019). Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks. Computer Networks, 160, 33–40.CrossRef Krishnan, M., Yun, S., & Jung, Y. M. (2019). Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks. Computer Networks, 160, 33–40.CrossRef
23.
go back to reference Zhao, B., Ren, Y., Gao, D., Xu, L., & Zhang, Y. (2019). Energy utilization efficiency evaluation model of refining unit based on Contourlet neural network optimized by improved grey optimization algorithm. Energy, 185, 1032–1044.CrossRef Zhao, B., Ren, Y., Gao, D., Xu, L., & Zhang, Y. (2019). Energy utilization efficiency evaluation model of refining unit based on Contourlet neural network optimized by improved grey optimization algorithm. Energy, 185, 1032–1044.CrossRef
Metadata
Title
An Integrated Piezoelectric Sensor Based Energy Efficient Transmission Using Base-Station Controlled Dynamic Clustering Protocol
Authors
Arunkumar Subramanian
Vinoth Kumar Bojan
Publication date
02-01-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07910-1

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