Design and Performance Analysis of Peltier & Piezoelectric Human Energy Harvesting Hybrid Model for WBAN Application

Hardeep Singh Dhillon, Paras Chawla

Abstract


Wireless body area network (WBAN) has evolved from Wireless personal area network (WPAN), a prominent area of research with vast applications in last decade. In WBAN, various wirelessly interconnected body node (BN) are implanted in or around the human body. Also due to advancement in technology a miniature low power device/BN is developed. The main challenge in WBAN body node is to maintain finite size of battery as well as to increase its capacity. Hence this issue can be resolved by using energy harvesting. Generally researchers have used piezoelectric, electromagnetic or solar harvester only. But, in this research energy harvesting using the hybrid optimization of Piezoelectric and Peltier sensors by controlling on-off timing of body nodes is introduced. A hybrid optimized algorithm is developed using MATLAB 2015b platform and extensive simulation is performed considering four different human gestures (relaxing, walking, running and fast running) which in turn improves overall Quality of Service (QoS) including average (packet loss, end to end delay, throughput) and overall detection efficiency.


Full Text:

PDF

References


J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013.

Hype cycle for the internet of things, 2015. Gartner. Accessed: 2015- 08-03.

Winning with the industrial internet of things. Accenture. Accessed: 2015-08-03.

Unlocking the potential of the internet of things. McKinsey Global Institute. Accessed: 2015-08-04.

C. Swedberg. Michelin uses RFID to track tire pressure and tread for London bus company. Accessed: 2015-08-04.

M. Allen, A. Preis, M. Iqbal, and A. J. Whittle, “Water distribution system monitoring and decision support using a wireless sensor network," in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2013 14th ACIS International Conference on. IEEE, 2013, pp. 641-646.

A. Z. Abbasi, N. Islam, Z. A. Shaikh, “A review of wireless sensors and networks' applications in agriculture," Computer Standards & Interfaces, vol. 36, no. 2, pp. 263-270, 2014. 145

P. D. Mitcheson, E. M. Yeatman, G. K. Rao, A. S. Holmes, and T. C. Green, “Energy harvesting from human and machine motion for wireless electronic devices," Proceedings of the IEEE, vol. 96, no. 9, pp. 1457-1486, 2008.

Observ'ER, “Worldwide electricity production from renewable energy sources," 13th inventory, 2013.

S. P. Beeby, M. J. Tudor, and N. White, “Energy harvesting vibration sources for Microsystems applications," Measurement science and technology, vol. 17, no. 12, p. R175, 2006.

J. Paradiso, T. Starner, “Energy scavenging for mobile and wireless electronics," Pervasive Computing, IEEE, vol. 4, no. 1, pp. 18-27, 2005.

G.-Z. Yang and M. Yacoub, Body sensor networks, 2nd ed. Springer, 2014.

R. Riemer and A. Shapiro, “Biomechanical energy harvesting from human motion: theory, state of the art, design guidelines, and future directions," Journal of neuro-engineering and rehabilitation, vol. 8, no. 1, p. 22, 2011.

M. Lossec, B. Multon, and H. B. Ahmed, “Sizing optimization of a thermoelectric generator set with heat sink for harvesting human body heat," Energy Conversion and Management, vol. 68, pp. 260- 265, 2013.

V. Leonov, “Thermoelectric energy harvesting of human body heat for wearable sensors," Sensors Journal, IEEE, vol. 13, no. 6, pp. 2284-2291, 2013.

M.-K. Kim, M.-S. Kim, S. Lee, C. Kim, and Y.-J. Kim, “Wearable thermoelectric generator for harvesting human body heat energy," Smart Materials and Structures, vol. 23, no. 10, p. 105002, 2014.

A. Almusallam, R. Torah, D. Zhu, M. Tudor, and S. Beeby, “Screen printed piezoelectric shoe-insole energy harvester using an improved edible PZT-polymer composites," in Journal of Physics: Conference Series, vol. 476, no. 1. IOP Publishing, 2013, p. 012108. 146

J. Kymissis, C. Kendall, J. Paradiso, and N. Gershenfeld, “Parasitic power harvesting in shoes," in Wearable Computers, 1998. Digest of Papers. Second International Symposium on. IEEE, 1998, pp. 132-139.

N. S. Shenck and J. A. Paradiso, “Energy scavenging with shoe mounted piezoelectrics," IEEE micro, no. 3, pp. 30-42, 2001.

A. Luque and S. Hegedus, Handbook of photovoltaic science and en-gineering. John Wiley & Sons, 2011.

R. Bube, Fundamentals of solar cells: photovoltaic solar energy con- version. Elsevier, 2012.

J. You, L. Dou, K. Yoshimura, T. Kato, K. Ohya, T. Moriarty, K. Emery, C.-C. Chen, J. Gao, G. Li et al., “A polymer tandem solar cell with 10.6% power conversion efficiency," Nature communications, vol. 4, p. 1446, 2013.

H.-S. Kim, C.-R. Lee, J.-H. Im, K.-B. Lee, T. Moehl, A. Marchioro, S.-J. Moon, R. Humphry-Baker, J.-H. Yum, J. E. Moser et al., “Lead iodide perovskite sensitized all-solid-state submicron thin film mesoscopic solar cell with efficiency exceeding 9%," Scientific reports, vol. 2, 2012.

D. A. R. Barkhouse, O. Gunawan, T. Gokmen, T. K. Todorov, and D. B. Mitzi, Device characteristics of a 10.1% hydrazine-processed Cu2ZnSn(Se, S)4 solar cell," Progress in Photovoltaic: Research and Applications, vol. 20, no. 1, pp. 6-11, 2012.

I. Repins, M. A. Contreras, B. Egaas, C. DeHart, J. Scharf, C. L. Perkins, B. To, and R. Noufi, “19.9%-efficient ZnO/CdS/CuInGaSe2 solar cell with 81.2% fill factor," Progress in Photovoltaics: Research and applications, vol. 16, no. 3, pp. 235-239, 2008.


Refbacks

  • There are currently no refbacks.


International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences

eISSN: 2300-1933