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http://dx.doi.org/10.22937/IJCSNS.2021.21.11.46

Integrated Power Optimization with Battery Friendly Algorithm in Wireless Capsule Endoscopy  

Mehmood, Tariq (Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah Pakistan)
Naeem, Nadeem (Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah Pakistan)
Parveen, Sajida (Department of Software Engineering, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah Pakistan)
Publication Information
International Journal of Computer Science & Network Security / v.21, no.11, 2021 , pp. 338-344 More about this Journal
Abstract
The recently continuous enhancement and development in the biomedical side for the betterment of human life. The Wireless Body Area Networks is a significant tool for the current researcher to design and transfer data with greater data rates among the sensors and sensor nodes for biomedical applications. The core area for research in WBANs is power efficiency, battery-driven devices for health and medical, the Charging limitation is a major and serious problem for the WBANs.this research work is proposed to find out the optimal solution for battery-friendly technology. In this research we have addressed the solution to increasing the battery lifetime with variable data transmission rates from medical equipment as Wireless Endoscopy Capsules, this device will analyze a patient's inner body gastrointestinal tract by capturing images and visualization at the workstation. The second major issue is that the Wireless Endoscopy Capsule based systems are currently not used for clinical applications due to their low data rate as well as low resolution and limited battery lifetime, in case of these devices are more enhanced in these cases it will be the best solution for the medical applications. The main objective of this research is to power optimization by reducing the power consumption of the battery in the Wireless Endoscopy Capsule to make it battery-friendly. To overcome the problem we have proposed the algorithm for "Battery Friendly Algorithm" and we have compared the different frame rates of buffer sizes for Transmissions. The proposed Battery Friendly Algorithm is to send the images on average frame rate instead of transmitting the images on maximum or minimum frame rates. The proposed algorithm extends the battery lifetime in comparison with the previous baseline proposed algorithm as well as increased the battery lifetime of the capsule.
Keywords
Wireless Body Area Network; Battery Friendly Algorithm; Wireless Capsule Endoscopy;
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1 M. A. Ben Atitallah, R, Kachouri, M. H. Kammoun, Mnif, "An efficient implementation of GLCM algorithm in FPGA," In: 2018 International Conference on Internet of Things, Embedded Systems and Communications (INTEC), (2018).
2 M. Manea, D. Marcu, A. Pantea Stoian, M. A. Gaman, B. Socea, T. P. Neagu, A. M. A. Stanescu, O. G. Bratu, and C. C. Diaconu, "Heart failure with preserved ejection fraction and atrial fibrillation: A review," Rev Chim. Vol. 69, pp. 4180-4184, (2018).
3 Y. Li, B. Bakkaloglu, and C. Chakrabarti, "A system-level energy model and energy-quality evaluation for integrated transceiver frontend," IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 15, no. 1, pp. 90-103, (Jan. 2007).   DOI
4 P. Nuggehalli, V. Srinivasan, and R. R. Rao, "Energy-efficient transmission scheduling for delay constrained wireless networks," IEEE Trans. Wireless Commun., vol. 5, no. 3, pp. 531-539, (Mar. 2006).   DOI
5 M. Mohamed Abdel-Daim, S. Osama El-Tawil, G. Simona Bungau, G. Atanas Atanasov, "Applications of Antioxidants in Metabolic Disorders and Degenerative Diseases: Mechanistic Approach", Oxidative Medicine and Cellular Longevity, vol. 2019, Article ID 4179676, p. 3, (2019). https://doi.org/10.1155/2019/4179676.   DOI
6 E. Uysal-Biyikoglu, B. Prabhakar, and A. El Gamal, "Energy-efficient packet transmission over a wireless link," IEEE/ACM Trans. Netw., vol. 10, no. 4, pp. 487-499, (Aug. 2002).   DOI
7 P. Pal, M. Tandan, S. Kulkarni, P. M. Reddy, M. Ramchandani, A. Sekaran, M.G. Shetty, P. Rebala, G.V. Rao, D. N. Reddy, "Is intraoperative enteroscopy still relevant in small bowel disorders in the era of capsule endoscopy and device-assisted enteroscopy? Real-world experience from a tertiary care hospital, " Journal of Gastroenterology and Hepatology, https://doi.org/10.1111/jgh.15626, (2021).   DOI
8 S. Jayashree, B. S. Manoj, and C. S. R. Murthy, "Next step in MAC evolution: Battery awareness," in Proc. GLOBECOM, pp. 2786-2790, (2004).
9 J. Thane, S. Radio, D. Turgis, R. Carta, G. Gielen, R. Puers, Design of a 2Mbps FSK near-field transmitter for wireless capsule endoscopy, Sensors, and Actuators A: Physical 156 (1) 43 - 48, (2009).   DOI
10 A.H. Sodhro, Y. Li, "Battery-friendly packet transmission strategies for wireless capsule endoscopy," In The International Conference on Health Informatics (pp. 236-239). Springer, Cham, (2014).
11 Microsoft Corporation, (2004, April 08). Converting Between YUV and RGB. Available: http://msdn.microsoft.com/en-us/library/ms893078.aspx.
12 C McCaffrey, O. Chevalerias, C. O'Mathuna, & K. Twomey, "Swallowable-capsule technology. IEEE Pervasive computing," vol. 7, issue. 1, pp. 23-29, (2008).   DOI
13 G. Liu, G. Yan, S, Kuang, Y. Wang, "Detection of small bowel tumor based on multi-scale curvelet analysis and fractal technology in capsule endoscopy," Comput Biol Med. Vol. 70, pp.131- 138, (2016).   DOI
14 D.Y. Cheung, J.S. Kim, K. N. Shim, M. G. Choi, "The usefulness of capsule endoscopy for small bowel tumors," Clin Endosc. Vol. 49, pp. 21- 25, (2016).   DOI
15 C. Karakus, A. Gurbuz, and B. Tavli, "Analysis of energy efficiency of compressive sensing in wireless sensor networks," IEEE Sensors J., vol. 13, no. 5, pp. 1999-2008, (May 2013).   DOI
16 M. Alizadeh, O. H. Maghsoudi, K. Sharzehi, H. R. Hemati, A. K. Asl, A. Talebpour, "Detection of small bowel tumor in wireless-capsule endoscopy images using an adaptive neuro-fuzzy inference system," J. Biomed Res. vol. 31: 419- 427, (2017).   DOI
17 O.A. Tica, O. Tica, L. Antal, A. Hatos, M.I. Popescu, A. Pantea Stoian, O.G. Bratu, M.A. Gaman, S.M. Pituru, and C.C. Diaconu, "Modern oral anticoagulant treatment in patients with atrial fibrillation and heart failure: Insights from the clinical practice. Farmacia, vol. 66, issue. 6, pp.972-976, (2018).   DOI
18 Ali Hassan Sodhro, Ye Li, Madad Ali Shah, "Green and Friendly Media Transmission Algorithms for Wireless Body Sensor Networks", Journal of Multimedia Tools & Applications, Vol.76, No.24, pp.1-25, (2017).   DOI
19 Chen Yi, Lili Wang, and Ye Li, Member, IEEE Energy Efficient Transmission Approach for Wireless Body Area Network Based on Threshold Distance, IEEE SENSORS JOURNAL, VOL. 15, NO. 9, (Sep. 2015).
20 S. Cui, A. J. Goldsmith, and A. Bahai, "Energy-constrained modulation optimization," IEEE Trans. Wireless Commun., vol. 4, no. 5, pp. 2349-2360, (Sep. 2005).   DOI
21 Q. Tang, L. Yang, G. B. Giannakis, and T. Qin, "Battery power efficiency of PPM and FSK in wireless sensor networks," IEEE Trans. Wireless Commun., vol. 6, no. 4, pp. 1308-1319, Apr. (2007).   DOI
22 G. Anastasi, M. Conti, and M. D. Francesco, "Energy conservation in wireless sensor networks: A survey," Ad Hoc Netw., vol. 7, no. 3, pp. 537-568, (2009).   DOI
23 E. Uysal-Biyikoglu, B. Prabhakar, and A. E. Gamal, "Energy-efficient packet transmission over a wireless link," IEEE/ACM Trans. Netw., vol. 10, no. 4, pp. 487-499, (Aug. 2002).   DOI
24 A.K. Karn, S. Giri, S. Bhatia, S. Singh, A. Singh, "Nutraceuticals and their Novel Drug Delivery System: A Boon to Human Health," Current Nutrition & Food Science, vol. 17, issue 6, pp.601-620, (2021).   DOI
25 D. M. Tit, S. Bunga, C. Iovan, D. C. Nistor Cseppento, L. Endres, C. Sava, A. M. Sabau, G. Frau, C. Frau, "Effects of the hormone replacement therapy and soy isoflavones on bone resorption in postmenopause," J. Clin Med. vol. 7, issue 297, (2018).
26 C. Ma and Y. Yang, "A battery aware scheme for energy-efficient coverage and routing in wireless mesh networks," in Proc. GLOBECOM, Nov. 2007, pp. 1113-1117.
27 S. Maleki, A. Pandharipande, and G. Leus, "Energy-efficient distributed spectrum sensing for cognitive sensor networks," IEEE Sensors J., vol. 11, no. 3, pp. 565-573, (Mar. 2011).   DOI
28 R. Rao and S. Vrudhula, "Battery optimization vs energy optimization: Which to choose and when," in Proc. IEEE/ACM Int. Conf. Comput. Aided Design, pp. 438-444, (Nov. 2005).
29 C. F. Chiasserini and R. R. Rao, "Improving battery performance by using traffic shaping techniques," IEEE J. Sel. Areas Communication., vol. 9, no. 7, pp. 1385-1394, (Jul. 2001).   DOI
30 P. Chowdhury and C. Chakrabarti, "Static task-scheduling algorithms for battery-powered DVS systems," IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 13, no. 2, pp. 226-237, (Feb. 2005).   DOI
31 W. Chen, M. J. Neely, and U. Mitra, "Energy-efficient transmissions with individual packet delay constraints," IEEE Trans. Inf. Theory, vol. 54, no. 5, pp. 2090-2109, (May 2008).   DOI
32 Ali Hassan Sodhro, Ye Li, Madad Ali Shah, "Green and Friendly Media Transmission Algorithms for Wireless Body Sensor Networks", Journal of Multimedia Tools & Applications, Vol.76, No.24, pp.1-25, (2017).   DOI
33 G. Carta, J.Tortora, Thane, B. Lenaerts, P. Valdastri, A. Menciassi, P. Dario, R. Puers, Wireless powering for a self-propelled and steerable endoscopic capsule for stomach inspection, Biosensors and Bioelectronics, vol. 25, issue 4, pp. 845-851, (2009).   DOI
34 J. H. Chang, and L. Tassiulas, "Maximum lifetime routing in wireless sensor networks," IEEE/ACM Trans. Netw., vol. 2, no. 4, pp. 609-619, (Aug. 2004).
35 W. Chen, M. J. Neely, and U. Mitra, "Energy-efficient transmissions with individual packet delay constraints," IEEE Trans. Inf. Theory, vol. 54, no. 5, pp. 2090-2109, (May 2008).   DOI