Abstract
Today’s era is the era of smart and remote applications exploiting advancement in sensors, cloud, Internet of things etc. Major application is in healthcare monitoring and support using wireless body area network (WBAN) in which sensor nodes sense vital physiological parameters and send to server through sink i.e. smart phone nowadays for seamless monitoring. The most significant issue in such applications is energy efficiency which leads to enhanced network life time that ensures uninterrupted seamless services. From source to sink data transmission may occur considering three different scenarios: source to sink single hop direct data transmission irrespective of in-between node distance, source to sink multi hop data transmission in which transmission range of source node is fixed at a threshold to find next forwarder node and transmission range of source node is incremented by affixed value until data gets transmitted to sink. In this work WBAN having different network configurations based on fixed or random positions of nodes have been simulated. Different scenarios with fixed and varying number of nodes are framed and simulated using MATLAB 2020a for performance evaluation of proposed algorithm in terms of energy consumption, network lifetime, path loss etc. due to data transmission from source to sink. Experimental results show that incremental approach is better than direct one in terms of energy consumption, path loss and network lifetime. While selecting transmission range of a source node, it is considered to keep Specific Absorption Rate (SAR) lower to reduce impact on human tissue.
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References
Ha, I. (2016). Even energy consumption and backside routing: An improved routing protocol for effective data transmission in wireless body area networks. International Journal of Distributed Sensor Networks, 12(7), 1550147716657932.
Saha, R., Biswas, S., & Pradhan, G. (2017). A priority based routing protocol with extensive survey and comparison of related works for healthcare applications using WBAN. In 2017 International conference on wireless communications, signal processing and networking (WiSPNET) (pp. 1424–1430). IEEE.
Biswas, S., Bhattacharya, T., & Saha, R. (2018). On fall detection using smartphone sensors. In 2018 International conference on wireless communications, signal processing and networking (WiSPNET) (pp. 1–4). IEEE.
Patel, M., & Wang, J. (2010). Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wireless Communications, 17(1), 80–88.
Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., & Kim, S. W. (2020). The future of healthcare internet of things: A survey of emerging technologies. IEEE Communications Surveys and Tutorials, 22(2), 1121–1167.
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014). A survey on wireless body area networks: Technologies and design challenges. IEEE Communications Surveys and Tutorials, 16(3), 1635–1657.
Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., & Jamalipour, A. (2014). Wireless body area networks: A survey. IEEE Communications Surveys and Tutorials, 16(3), 1658–1686.
Rehmani, M. H., & Pathan, A. S. K. (Eds.). (2016). Emerging communication technologies based on wireless sensor networks: current research and future applications. Boca Raton: CRC Press.
Sharma, R., Ryait, H. S., & Gupta, A. K. (2016). Wireless body area network–a review. Research Cell: An International Journal of Engineering Sciences, 17, 494–499.
Qu, Y., Zheng, G., Ma, H., Wang, X., Ji, B., & Wu, H. (2019). A survey of routing protocols in WBAN for healthcare applications. Sensors, 19(7), 1638.
AgarwalN, B. S., & SaifS, S. R. (2019). Evaluation of WBAN with and without temporal model using Castalia”. Tech Vistas, MAKAUT, WB, 1(2), 10–21.
Javaid, N., Abbas, Z., Fareed, M. S., Khan, Z. A., & Alrajeh, N. (2013). M-ATTEMPT: A new energy-efficient routing protocol for wireless body area sensor networks. Procedia Computer Science, 19, 224–231.
Khan, Z. A., Sivakumar, S., Phillips, W., & Robertson, B. (2014). ZEQoS: a new energy and QoS-aware routing protocol for communication of sensor devices in healthcare system. International Journal of Distributed Sensor Networks, 10(6), 627689.
Bangash, J. I., Abdullah, A. H., Anisi, M. H., & Khan, A. W. (2014). A survey of routing protocols in wireless body sensor networks. Sensors, 14(1), 1322–1357.
Aziz, Z., Qureshi, U. M., Shaikh, F. K., Bohra, N., Khelil, A., & Felemban, E. (2016). Revisiting routing in wireless body area networks. Emerging Communication Technologies Based on Wireless Sensor Networks: Current Research and Future Applications, 89.
Shahbazi, Z., & Byun, Y. C. (2020). Towards a secure thermal-energy aware routing protocol in wireless body area network based on blockchain technology. Sensors, 20(12), 3604.
Nabila, A. (2019). A QoS based comparative analysis of the IEEE standards 802.15. 4 & 802.15. 6 in WBAN-based healthcare monitoring systems. In 2019 International conference on wireless technologies, embedded and intelligent systems (WITS) (pp. 1–5). IEEE.
Huynh, T. T., Dinh-Duc, A. V., & Tran, C. H. (2016). Delay-constrained energy-efficient cluster-based multi-hop routing in wireless sensor networks. Journal of Communications and Networks, 18(4), 580–588.
Rashed, M., Kabir, M. H., & Ullah, S. E. (2012). WEP: An energy efficient protocol for cluster based heterogeneous wireless sensor network. arXiv preprint https://arxiv.org/abs/1207.3882.
Ivanov, S., Foley, C., Balasubramaniam, S., & Botvich, D. (2012). Virtual groups for patient WBAN monitoring in medical environments. IEEE Transactions on Biomedical Engineering, 59(11), 3238–3246.
Monowar, M. M., Mehedi Hassan, M., Bajaber, F., Hamid, M. A., & Alamri, A. (2014). Thermal-aware multiconstrained intrabody QoS routing for wireless body area networks. International Journal of Distributed Sensor Networks, 10(3), 676312.
Ahmad, A., Javaid, N., Qasim, U., Ishfaq, M., Khan, Z. A., & Alghamdi, T. A. (2014). RE-ATTEMPT: A new energy-efficient routing protocol for wireless body area sensor networks. International Journal of Distributed Sensor Networks, 10(4), 464010.
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. Computers in Human Behavior, 51, 1003–1011.
Ul Huque, M. T. I., Munasinghe, K. S., & Jamalipour, A. (2014). Body node coordinator placement algorithms for wireless body area networks. IEEE Internet of Things Journal, 2(1), 94–102.
Adhikary, S., Choudhury, S., & Chattopadhyay, S. (2016). A new routing protocol for WBAN to enhance energy consumption and network lifetime. In Proceedings of the 17th international conference on distributed computing and networking (pp. 1–6).
Smail, O., Kerrar, A., Zetili, Y., & Cousin, B. (2016). ESR: Energy aware and stable routing protocol for WBAN networks. In 2016 International wireless communications and mobile computing conference (IWCMC) (pp. 452–457). IEEE.
Ahmed, G., Jianhua, Z., & Fareed, M. M. S. (2017). PERA: priority-based energy-efficient routing algorithm for WBANs. Wireless Personal Communications, 96(3), 4737–4753.
Khan, R. A., Mohammadani, K. H., Soomro, A. A., Hussain, J., Khan, S., Arain, T. H., & Zafar, H. (2018). An energy efficient routing protocol for wireless body area sensornetworks. Wireless Personal Communications, 99(4), 1443–1454.
Saha, R., Naskar, S., Biswas, S., & Saif, S. (2019). Performance evaluation of energy efficient routing with or without relay in medical body sensor network. Health and Technology, 9(5), 805–815.
Ullah, F., et al. (2019). Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network. Journal of Ambient Intelligence and Humanized Computing, 10(10), 3775–3794.
Sagar, A. K., Singh, S., & Kumar, A. (2020). Energy-aware WBAN for health monitoring using critical data routing (CDR). Wireless Personal Communications, 112, 273–302.
Zhang, Y., Zhang, B., & Zhang, S. (2020). An adaptive energy-aware relay mechanism for IEEE 802.15.6 wireless body area networks. Wireless Personal Communications, 115, 2363–2389.
Navya, V., Deepalakshmi, P. (2018). Threshold-based energy-efficient routing for transmission of critical physiological parameters in a wireless body area network under emergency scenarios. International Journal of Computers and Applications, 1–10.
Tariq, F., Anwar, M., Janjua, A. R., Khan, M. H., Khan, A. U., & Javaid, N. (2020). Blockchain in WSNs, VANets, IoTs and healthcare: A survey. In Workshops of the international conference on advanced information networking and applications (pp. 267–279). Cham: Springer.
Li, Y., Bakkaloglu, B., & Chakrabarti, C. (2007). A system level energy model and energy-quality evaluation for integrated transceiver front-ends. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 15(1), 90–103.
Bernardi, P., Cavagnaro, M., Pisa, S., & Piuzzi, E. (2000). Specific absorption rate and temperature increases in the head of a cellular-phone user. IEEE Transactions on Microwave Theory and Techniques, 48(7), 1118–1126.
Jang, C.W. (2005). U.S. Patent No. 6,920,344. Washington, DC: U.S. Patent and Trademark Office.
Hochwald, B. M., & Love, D. J. (2012). Minimizing exposure to electromagnetic radiation in portable devices. In 2012 Information theory and applications workshop (pp. 255–261). IEEE.
Mouzehkesh, N., Zia, T., Shafigh, S., & Zheng, L. (2015). Dynamic backoff scheduling of low data rate applications in wireless body area networks. Wireless Networks, 21(8), 2571–2592.
Sakurai, T., Kiyokawa, T., Narita, E., Suzuki, Y., Taki, M., & Miyakoshi, J. (2011). Analysis of gene expression in a human-derived glial cell line exposed to 2.45 GHz continuous radiofrequency electromagnetic fields. Journal of Radiation Research, 52(2), 185–192.
Kathe, K. S., & Deshpande, U. A. (2019). A thermal aware routing algorithm for a wireless body area network. Wireless Personal Communications, 105(4), 1353–1380.
Chiti, F., Fantacci, R., Archetti, F., Messina, E., & Toscani, D. (2009). An integrated communications framework for context aware continuous monitoring with body sensor networks. IEEE Journal on Selected Areas in Communications, 27(4), 379–386.
Semiconductor, N. (2007). nRF24L01 Single Chip 2.4 GHz Transceiver, (Product Specification Revision 2.0).
Mathew, R., Younis, M., & Elsharkawy, S. M. (2005). Energy-efficient bootstrapping for wireless sensor networks. Innovations in Systems and Software Engineering, 1(2), 205–220.
Mondal, A. S., Neogy, S., Mukherjee, N., & Chattopadhyay, S. (2019). A survey of issues and solutions of health data management systems. Innovations in Systems and Software Engineering, 15(2), 155–166.
Himsoon, T., Siriwongpairat, W. P., Han, Z., & Liu, K. R. (2007). Lifetime maximization via cooperative nodes and relay deployment in wireless networks. IEEE Journal on Selected Areas in Communications., 25(2), 306–317.
Acknowledgements
This work has been carried out with the grant received in research project with sanction no. CRS ID:-1-5758863831 from MHRD, Govt. of India under TEQIP III in Collaborative Research Scheme (CRS), AICTE.
Funding
Grant received in research project with sanction no. CRS ID:-1-5758863831from MHRD, Govt. of India under TEQIP III in Collaborative Research Scheme (CRS), AICTE.
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Saha, R., Biswas, S., Sarma, S. et al. Design and Implementation of Routing Algorithm to Enhance Network Lifetime in WBAN. Wireless Pers Commun 118, 961–998 (2021). https://doi.org/10.1007/s11277-020-08054-y
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DOI: https://doi.org/10.1007/s11277-020-08054-y