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Energy efficient and secure healthcare data transmission in the internet of medical things network

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Abstract

The Internet of Things (IoT) gains myriad admiration in wide applications including medical and healthcare monitoring due to its low cost and its self-operating activities. Recently several wearable gadgets are used frequently and become popular in health monitoring systems. In the monitoring system, Biomedical Sensor Nodes (BSN) are used to sense the physiological parameters of the patients and transmitted to the coordinator or Base Station (BS) via the Internet of Medical Things (IoMT) frameworks for further analysis. BSNs are energy-constrained and the most amount of energy is consumed due to their information transmissions. Therefore, a key research problem is to reduce energy consumption and communication costs. Moreover, patient data, transmitted over the insecure channel may lead to security threats. Therefore, ensuring data privacy and integrity is another challenging issue. In this paper, we propose an energy-efficient and secure health monitoring system to reduce the energy consumption and communication cost of the monitoring system. On the other hand, it also provides secured data transmission by incorporating a Cipher Block Chaining (CBC) based lightweight security mechanism. Extensive simulation results reveal that the proposed scheme achieved improved performance in terms of network lifetime by 27%, average End-to-end delay by 18%, and average network throughput by 23%. In conclusion, our proposed algorithms prove to be a feasible solution for securing and extending the IoMT network lifetime.

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References

  • A review of enabling technologies for internet of medical things (iomt) ecosystem. Ain Shams Eng J 13(4):101660, 2022

  • Ahmadi A, Mitchell E, Destelle F, Gowing M, O’Connor NE, Richter C (2014) Automatic activity classification and movement assessment during a sports training session using wearable inertial sensors. In: Proceedings of 11th international conference on wearable and implantable body sensor networks (BSN), pp. 132–136

  • Ahmed G, Mehmood D, Shahzad K, Malick RAS (2021) An efficient routing protocol for internet of medical things focusing hot spot node problem. Int J Distrib Sens Netw 17(2):1550147721991706

    Article  Google Scholar 

  • Ali R, Hussain K, Soomro A, Awan J, Khan S, Arain TH, Zafar H (2018) An energy efficient routing protocol for wireless body area sensor networks. Wireless Pers Commun 99(1443–1454):04

    Google Scholar 

  • Anwar M, Abdullah H, Altameem A, Qureshi K, Masud F, Cao Y, Kharel R (2018) Green communication for wireless body area networks: Energy aware link efficient routing approach. Sensors 18(09):1–17

    Google Scholar 

  • Badnjevic A, Gurbeta L, Custovic E (2019) An expert diagnostic system to automatically identify asthma and chronic obstructive pulmonary disease in clinical settings. Sci Rep 8:11645

    Article  Google Scholar 

  • Bhanja S, Das A (2021) Electrical power demand forecasting of smart buildings: a deep learning approach. In: Balas VE, Hassanien AE, Chakrabarti S, Mandal L (eds) Proceedings of international conference on computational intelligence, data science and cloud computing. Springer, Singapore, pp. 71–82

    Chapter  Google Scholar 

  • Bhanja S, Metia S, Das A (2022) A hybrid neuro-fuzzy prediction system with buttery optimization algorithm for pm2.5 forecasting. Microsyst Technol 2193–2201

  • Chandra S, Gupta R, Ghosh S, Mondal S (2022) An intelligent and power efficient biomedical sensor node for wireless cardiovascular health monitoring. IETE J Res 68(1):456–466

    Article  Google Scholar 

  • Chen Z, Sheng H, Xia Y, Wang W, He J (2021) A comprehensive review on blade tip timing-based health monitoring: status and future. Mech Syst Signal Process 149:107330

    Article  Google Scholar 

  • Darshan KR, Anandakumar KR (2015) A comprehensive review on usage of internet of things (iot) in healthcare system. In 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pages 132–136

  • Das A, Khan HN, Chaudhuri A (2018) Secret variant session key based symmetric cryptography, 1st edn. LAMBERT Academic Publishing, Germany

    Google Scholar 

  • Ghosh A, Raha A, Mukherjee A (2020) Energy-efficient iot-health monitoring system using approximate computing. Internet Things 9:100166

    Article  Google Scholar 

  • Irfan M, Hisham A, Guizani Nadra U, Ikram D, Al-Morgen A (2020) Ftm-iomt: Fuzzy-based trust management for preventing sybil attacks in internet of medical things. IEEE Internet Things J 2020(1):09

    Google Scholar 

  • Javaid N, Ahmad A, Nadeem Q, Imran M, Haider N (2015) im-simple: improved stable increased-throughput multi-hop link efficient routing protocol for wireless body area networks. Comput Hum Behav 51:1003–1011

    Article  Google Scholar 

  • Jiasong Mu, Xiang Liu, and Xiangdong Yi. Simplified energy-balanced alternative-aware routing algorithm for wireless body area networks. IEEE Access, 7:108295-108303, 07 2019

  • Karthick PT, Palanisamy C (2019) Optimized cluster head selection using krill herd algorithm for wireless sensor network. Automatika 60(3):340–348

    Article  Google Scholar 

  • Khan KN, Das A, choudhuri A (2020) An ultra robust session key based image cryptography. Microsyst Technol 26:2193–2201

    Article  Google Scholar 

  • Lor KL, Liu CP, Chang YC (2019) Predictive modelling of lung function using emphysematous density distribution. Sci Rep 9:19763

    Article  Google Scholar 

  • Mondal S, Dutta P, Ghosh S, Biswas U (2016) Energy efficient rough fuzzy set based clustering and cluster head selection for wsn. In: 2016 2nd International conference on next generation computing technologies (NGCT), pp. 439–444

  • Mondal S, Ghosh S, Dutta P (2018) Energy efficient data gathering in wireless sensor networks using rough fuzzy c-means and aco. In: Bhattacharyya S, Sen S, Dutta M, Biswas P, Chattopadhyay H (eds) Industry interactive innovations in science, engineering and technology. Springer, Singapore, pp. 163–172

    Chapter  Google Scholar 

  • Nazir S, Ali Y, Ullah N (2019) and Iván García-Magariño. A systematic literature review. Hindwai Wireless Communication and Mobile Computing, Internet of things for healthcare using effects of mobile computing

    Google Scholar 

  • Punj R, Kumar R (2019) Technological aspects of wbans for health monitoring: a comprehensive review. Wireless Netw 25:1125–1157

    Article  Google Scholar 

  • Quwaider M, Biswas S (2010) Dtn routing in body sensor networks with dynamic postural partitioning. Ad Hoc Netw 8(8):824–841

    Article  Google Scholar 

  • Rajasekaran M, Yassine A, Shamim Hossain M, Alhamid M, Guizani M (2019) Autonomous monitoring in healthcare environment: reward-based energy charging mechanism for iomt wireless sensing nodes. Fut Gen Comput Syst 98:04

    Google Scholar 

  • Sagar A, Singh S, Kumar A (2020) Energy-aware wban for health monitoring using critical data routing (cdr). Wireless Pers Commun 112:273–302

    Article  Google Scholar 

  • Sanjoy Mondal, Saurav Ghosh, and Utpal Biswas. Acohc: Ant colony optimization based hierarchical clustering in wireless sensor network. In 2016 International Conference on Emerging Technological Trends (ICETT), pages 1–7, 2016

  • Sercan Yalçın, Ebubekir Erdem (2022) Teo-mcrp: Thermal exchange optimization-based clustering routing protocol with a mobile sink for wireless sensor networks. Journal of King Saud University - Computer and Information Sciences

  • Sharma JK (2014) Fundamentals of Business Statistics, 2nd edn. Vikash Publishing House, India

    Google Scholar 

  • Sodhro Ali Hassan, Al-Rakhami MS, Wang L, Magsi H, Zahid N, Pirbhulal S, Nisar K, Ahmad A (2021) Decentralized energy efficient model for data transmission in iot-based healthcare system. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp 1–5

  • Ullah Z, Ahmed I, Ali T, Ahmad N, Niaz F, Cao Y (2019) Robust and efficient energy harvested-aware routing protocol with clustering approach in body area networks. IEEE Access 7:33906–33921

    Article  Google Scholar 

  • Vahid Ayatollahitafti Md, Mohamad NJ, Sharif MA (2016) An efficient next hop selection algorithm for multi-hop body area networks. PLoS ONE 11(1):e0146464

    Article  Google Scholar 

  • Visu P, Praba T, Sivakumar Nagarajan R, Sethukarasi Srinivasan T (2021) Bio-inspired dual cluster heads optimized routing algorithm for wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing 12(1–9):03

  • Wei K, Zhang L, Guo Y, Jiang X (2020) Health monitoring based on internet of medical things: architecture, enabling technologies, and applications. IEEE Access 8:27468–27478

    Article  Google Scholar 

  • Wongthongtham P, Kaur J, Potdar V, Das A (2017) Big data challenges for the nternet of Things (IoT) paradigm. Springer International Publishing, Cham, pp. 41–62

    Google Scholar 

  • Yang X, Wang X, Li X (2020) Exploring emerging iot technologies in smart health research: a knowledge graph analysis. BMC Med Inform Decis Mak 260(20):6831

    Google Scholar 

  • Zuhra FT, Bakar KA, Ahmed A, Tunio MA (2017) Routing protocols in wireless body sensor networks: a comprehensive survey. J Netw Comput Appl 99:73–97

    Article  Google Scholar 

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Correspondence to Abhishek Das.

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Mondal, S., Ghosh, I. & Das, A. Energy efficient and secure healthcare data transmission in the internet of medical things network. Microsyst Technol 29, 539–551 (2023). https://doi.org/10.1007/s00542-022-05398-2

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