شبکه هوشمند برای نظارت بر بیمار مبتلا به سرطان سینه بر مبنای آرایش شبکه و تحلیل سلسله مراتب فازی
محورهای موضوعی : شبکه های مخابرات
جواد نوری پور
1
,
محمدعلی پورمینا
2
,
محمد ناصر مقدسی
3
,
بهبد قلمکاری
4
1 - دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 - دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
3 - دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
4 - دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: آرایش توانمندی شبکه, تحلیل سلسله مراتبی فازی, تومور سینه, گرهها, وزن ارتباطی. ,
چکیده مقاله :
در این مقاله شبکه هوشمند برای نظارت بر بیمار مبتلا به سرطان سینه مطرح شده است. افزایش سرعت شبکه نظارت بر بیمار به نوع مشاهده، تفکر و درک ما از بیمار بستگی دارد. عوامل مختلفی از شبکه باعث شناخت بیشتر بیماری است که این عوامل با توجه به نوع آرایش شبکه، تعداد گرهها، قابلیت گرهها و جهت لینک‌های ارتباطی بستگی دارد. چرخه کنترل و نظارت بر بیمار شامل مشاهده، جهتگیری، تصمیم و عمل است که این چرخه مجموعه‌ای از اعمال متوالی هست که با تغییر آرایش شبکه، جهتگیری، تصمیم و عمل تغییر می‌یابد. در این مقاله ساختار شبکه هوشمند با توجه به وزن گره‌های مسیرهای ارتباطی به گونه‌ای طراحی می‌شود که چرخه کنترل و نظارت (تحلیل، تصمیم و عمل) عملکرد خوبی را داشته باشد. چرخه کنترل و نظارت با روش پیشنهادی فرآیند تحلیل سلسله مراتبی فازی (FAHP) مدل‌سازی می‌شود. این مدل با شناخت اولویت‌های شناسایی، معیارهای تصمیم‌گیری را به گونه‌ای تنظیم می‌کند که با کمترین زمان، سرعت تشخیص شبکه افزایش یابد و همچنین ابزاری مناسب برای مدل‌سازی چرخه نظارت و نتایج حاصل از شبکه هوشمند است. نتایج شبیه‌سازی نشان می‌دهد که این شبکه از هوشمندی لازم برای ارزیابی وضعیت بیمار در شرایط نامطلوب، قدرت تحلیل و ارزیابی مداوم بیمار را دارد و همچنین قدرت تصمیم‌گیری به موقع در وضعیت‌های مختلف را دارد. این نتایج نشان می‌دهد که با توجه به آرایش شبکه و تحلیل سلسله مراتبی فازی نرخ سرعت شبکه نسبت به دیگر شبکه‌ها به میزان ۱۰ درصد بهبود یافته است.
In this article, a smart network is proposed to monitor a patient with breast cancer. Increasing the speed of the patient monitoring network depends on our observation, thinking and understanding of the patient. Various factors of the network make us more aware of the disease. has it. The cycle of controlling and monitoring the patient includes observation, orientation, decision and action, this cycle is a set of consecutive actions, which changes with the change of network arrangement, orientation, decision and action. In this article, we design the structure of the smart network according to the weight of the nodes, the communication paths in such a way that the cycle of control and monitoring (analysis, decision and action) performs well. We model the control and monitoring cycle with the proposed method of fuzzy hierarchical analysis process (FAHP). This model adjusts the decision-making criteria by recognizing the identification priorities in such a way that the speed of network detection increases with the least time. It is also a suitable tool for modeling the monitoring cycle and the results of the smart network. The simulation results show that this network has the necessary intelligence to assess the patient's condition in adverse conditions, has the power to continuously analyze and evaluate the patient, and also has the power to make timely decisions in different situations. These results show that according to the network arrangement and fuzzy hierarchical analysis, the speed rate of the network has improved by 10% compared to other networks.
[1] A.E. Attaoui, M. Hazmi, A. Jilbab, A. Bourouhou, "Wearable wireless sensors network for ECG telemonitoring using neural network for features extraction", Wireless Personal Communications, vol. 111, no. 3, pp. 1955-1976, April 2020 (doi: 10.1007/s11277-019-06967-x).
[2] G.J. Jong, G.J. Horng, "The PPG physiological signal for heart rate variability analysis", Wireless Personal Communications, vol. 97, no. 4, pp. 5229-5276, Dec. 2017 (doi: 10.1007/s11277-017-4777-z).
[3] I.E. Khuda, M.I. Anis, M. Aamir, "Numerical modeling of human tissues and scattering parameters for microwave cancer imaging systems", Wireless Personal Communications, vol. 95, no. 2, pp. 331-351, July 2017 (doi: 10.1007/s11277-016-3895-3).
[4] A.M.T. Rojas, S. Lorente, M. Hautefeuille, A. Sanchez-Cedillo, "Hierarchical modeling of the liver vascular system", Frontiers in Physiology, vol. 12, Article Number: 7331165, Nov. 2021 (doi: 10.3389/fphys.2021.733165).
[5] A. Qureshi, E. Shih, I. Fan, J. Carlisle, D. Brezinski, M. Kleinman, J. Guttag, "Improving patient care by unshackling telemedicine: adaptively aggregating wireless networks to facilitate continuous collaboration", AMIA Annual Symposium Proceedings, pp. 662-666, Nov. 2010.
[6] T. Yilmaz, R. Foster, Y. Hao, "Detecting vital signs with wearable wireless sensors", Sensors, vol. 10, no. 12, pp. 10837-10862, Nov. 2010 (doi: 10.3390/s101210837).
[7] S. Pirzadi, M.A. Pourmina, S.M. Safavi-Hemami, "Delay-tolerant routing optimization using simulated annealing heuristic algorithm in disrupted mobile ad-hoc networks", Journal of Intelligent Procedures in Electrical Technology, vol. 14, no. 56, pp. 131-150, March 2024 2022 (in Persian) (dor: 20.1001.1.23223871.1402.14.56.9.9).
[8] S.M.A. Zanjani, M. Aalipour, M. Parvizi, "Design of a low power temperature sensor based on sub-threshold performance of carbon nanotube transistors with an inaccuracy of 1.5 C for the range of-30 to 125ºC", Journal of Intelligent Procedures in Electrical Technology, vol. 13, no. 50, pp. 115-127, Sept. 2022 (in Persian) (dor: 20.1001.1.23223871.1401.13.50.7.8).
[9] Y.Q. Chen, P.E. Pace, "Simulation of information metrics to assess the value of networking in a general battlespace topology", Proceeding of the IEEE/SYSOSE, Monterey, CA, pp. 1-6, Monterey, CA, USA, Dec. 2008 (doi: 10.1109/SYSOSE.2008.4724133).
[10] Y.H. Ahmadian, M.A. Pourmina, A. Haghbin, "A novel GPS-free localization algorithm for ad-hoc network nodes", Journal of Intelligent Procedures in Electrical Technology, vol. 12, no. 47, pp. 41-56, Dec. 2021 (in Persian) (dpr: 20.1001.1.23223871.1400.12.3.2.2).
[11] M. Ghayoor, H. Pourghassem, "Proposing an Automated System for Differentiating between Healthy Individuals and Patients with Diabetic Retinopathy", Journal of Intelligent Procedures in Electrical Technology, vol. 11, no. 44, pp. 1-19, March 2021 (in Persian).
[12] M. Magalhaes, T.E. Smith, P.E. Pace, "Adaptive node capability to assess the characteristic tempo in a wireless communication network", Proceeding of the IEEE/WCNC, pp. 3013-3018, Paris, France, April 2012 (doi: 10.1109/WCNC.2012.6214321)
[13] M.F. Ling, T. Moon, E. Kruzins, "Proposed network centric warfare metrics: From connectivity to the OODA cycle", Military Operations Research, vol. 10, no. 1, pp. 5-13, Nov. 2005.
[14] J. Li, Y. Tan, K. Yang, X. Zhang, B. Ge, "Structural robustness of combat networks of weapon system-of-systems based on the operation loop", International Journal of Systems Science, vol. 48, no. 3, pp. 659-674, July 2017 (doi: 10.1080/00207721.2016.1212429).
[15] A. Lesne, "Shannon entropy: A rigorous notion at the crossroads between probability, information theory, dynamical systems and statistical physics", Mathematical Structures in Computer Science, vol. 24, no. 3, pp.10837-10862, March 2014 (doi: 10.1017/S0960129512000783).
[16] S. Lorente, M. Hautefeuille, A. Sanchez-Cedillo, "The liver, a functionalized vascular structure", Scientific Reports, vol. 10, no. 1, pp. 1-10, March 2020 (doi: 10.1038/s41598-020-73208-8).
[17] J.J. Buckley, T. Feuring, Y. Hayashi, "Fuzzy hierarchical analysis revisited", European Journal of Operat¬ional Research, vol. 129, no. 1, pp. 48-64, Feb. 2001 (doi: 10.1016/S0377-2217(99)00405-1).
[18] F. Ahmed, K. Kilic, "Fuzzy analytic hierarchy process: A performance analysis of various algorithms", Fuzzy Sets and Systems, vol. 362, pp. 110-128, May 2019 (doi: 10.1016/j.fss.2018.08.009).
[19] M. Vafaei, A. Khademzadeh, M.A. Pourmina, "A new QOS-based routing protocol for video streaming in VANETs using ACO algorithm and fuzzy logic", Journal of Intelligent Procedures in Electrical Technology, vol. 12, no. 46, pp. 49-68, Sept. 2021 (in Persian) (dor: 20.1001.1.23223871.1400.12.2.4.2).
[20] Y.M. Wang, T.M. Elhag, Z. Hua, "A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process", Fuzzy Sets and Systems, vol. 157, no. 23, pp. 3055-3071, Dec. 2006 (doi: 10.1016/j.fss.2006.08.010).
[21] A. Fernandez, V. Lopez, M.J. Jesus, F. Herrera, "Revisiting evolutionary fuzzy systems: Taxonomy, applications, new trends and challenges", Knowledge-Based Systems, vol. 80, pp. 109-121, May 2015 (doi: 10.1016/j.knosys.2015.01.013).
[22] M.Z. Naghadehi, R. Mikaeil, M. Ataei, "The application of fuzzy analytic hierarchy process (FAHP) appr¬oach to selection of optimum underground mining method for Jajarm bauxite mine, Iran", Expert Systems with Applications, vol. 36, no. 4, pp. 8218-8226, May 2009 (doi: 20.1001.1.23223871.1401.13.50.5.6).
[23] H. Meshgin-Kelk, M. Mohammadpour, "Detection of short circuit faults in power transformer by the measurement of its windings voltages and currents using a neuro-fuzzy system", Journal of Intelligent Procedures in Electrical Technology, vol. 13, no. 50, pp. 87-99, Sept. 2022 (in Persian) (dor: 20.1001.1.23¬223871.1401.13.50.5.6)
[24] M. Ahmadi, K. Mohamedpour, "A new method for recognizing pulse repetition interval modulation", Proceeding of the IEEE/ICSPS, pp. 146-151, Singapore, July 2009 (doi: 10.1109/ICSPS.2009.8).
[25] E. Cianca, B. Gupta, "FM-UWB for communications and radar in medical applications", Wireless Personal Communications, vol. 51, no. 4, pp. 793-809, Oct. 2009 (doi: 10.1007/s11277-009-9772-6).
[26] R.A.S. Malick, M. Murtaza, K.A. Qureshi, "A knowledge graph-based framework for integrated network-centric warfare strategies for cyber-physical-social world", Proceeding of the IEEE/ICCWS, pp. 42-48, Islamabad, Pakistan, Dec. 2022 (doi: 10.1109/ICCWS56285.2022.9998467).
[27] Y. Zhong, Q. Sun, H. Li, K. Ren, Z. Huang, Y. Zhang, "Combat system-of-systems network modeling research", Proceeding of the IEEE/ICUS, pp. 1270-1275, Guangzhou, China, Oct. 2022 (doi: 10.1109/ICUS55513.2022.9987241).
[28] V. Lytvyn, D. Dosyn, V. Vysotska, A. Hryhorovych, "Method of ontology use in OODA", Proceeding of the IEEE/DSMP, pp. 21-25, Lviv, Ukraine, Sept. 2020 (doi: 10.1109/DSMP47368.2020.9204107).
