Abstract
Wireless devices assault the medical field because of its substantial different capacity. The patient point of interest in blinking provisional is to display on overhead exploiting obtainable innovations. Using advanced wireless technologies, this scenario has been conquered. Without being inculcating inside the human body, remote health checking and patients social event data are exploited to assemble quiet curative data that have been done using six typical body sensors. This entire process ensures the versatility. There is no need to visit a doctor or physician persistent intermittently. In this article, we proposed a method to examine the patient health using wireless sensor networks and to analyze the uses of server and tolerance of delay in hospital location of the patient monitoring using wireless body area network (WBAN). The proposed system performance has been compared with an existing system. The proposed system works better than the existing system. WBAN three-tier network architecture is proposed in this paper for data communication for normal and emergency data packets prioritization in communication process. In first tier ZigBee nodes are present; ZigBee radio module generates the packet queues to the Wi-Fi router which acts as a server in the second tier. In third tier, hospitals have the Ethernet which is used to connect the hospital information system. At tier two the M/G/1 and M/G/N priority queuing models are executed. Analyzing the queuing priority, delay and server utilization time was considered by the performance parameters. The M/G/1 and M/G/N priority queuing models were implemented while the crisis patient’s number is more, while using more amount of Wi-Fi routers which recuperates the parameters delay but reduces utilization of the server is recognized. Utilization of the server is more improved using this factor. A bulk data arrival condition with priority queuing used by the delay tolerant of WBAN is proposed.
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References
Adwan Alanazi (2016) Optimized node selection process for quality of service provisioning over wireless multimedia sensor networks. In: IEEE international conference on mobile and secure services, pp 1–5
Nadeem Javaid, Muhammad Moid Sahnadu, Mohsen Guizani, Muhammad Imran, Zahoor Ali Khan, Umar Qasim (2016) BEC: a novel routing protocol for balanced energy consumption in wireless body area networks. IEEE, pp 653–657
Ha I (2015) Technologies and research trends in wireless body area networks for healthcare: a systematic literature review. Int J Distrib Sens Netw 2015:14
Shah M (2015) Interference aware inverse EEDBR protocol for underwater WSNs. In: IEEE International conference on wireless communications and mobile computing, pp 739–744
Omer S (2015) An LQI based dual-channel routing protocol for wireless body area networks. In: IEEE international conference on telecommunication networks and applications, pp 320–325
Chen X (2015) Design and implementation of a body monitoring baseband system for human body communication. In: IEEE international conference on ASIC, pp 1–4
Gherbi C (2015) Distributed energy efficient adaptive clustering protocol for large scale wireless sensor networks. In: IEEE international conference on programming and systems, pp 1–7
Goel N (2015) Smart grid networks: a state of the art review. In: IEEE international conference on signal processing and communication, pp 122–126
Karthiga I (2015) A study on routing protocols in WBAN and its suitability for m-Health applications. In: IEEE international conference on communications and signal processing, pp 1064–1069
Sharma K, Singla S Wireless body area network in health care applications. Int J Sci Res (IJSR). ISSN (Online): 2319–7064
Dangi KG, Panda SP (2016) Performance analysis of patient monitoring WBAN using queueing models. Int J Appl Eng Res 11(9):6671–6666. ISSN 0973-4562
Ivanov S, Balasubramaniam S, Botvich D, Foley C (2012) Virtual groups for patient WBAN monitoring in medical environments. IEEE Trans Biomed Eng 59:3238–3246
Chen B, Pompili D (2010) Transmission of patient vital signs using wireless body area networks. Mobile Netw Appl 16(6):663–682. https://doi.org/10.1007/s11036-010-0253
Nidhya R, Karthik S (2019) Security and privacy issues in remote healthcare systems using wireless body area networks. In: Body area network challenges and solutions, EAI/ Springer innovations in communication and computing. Springer, Cham, pp 37–53
Ameen MA, Ullah N, Chowdhury MS, Islam SR, Kwak K (2012) A power efficient MAC protocol for wireless body area networks. J Wirel Commun Netw 33:17
Ragesh GK, Baskaran K (2012) An overview of applications, standards and challenges in futuristic wireless body area networks. Int J Comput Sci Issues 9:180–186
Jovanov E, Milenkovic A (2011) Body area networks for ubiquitous healthcare applications: opportunities and challenges. J Med Syst 35:1245–1254
Nidhya R et al (2022) Remodeled chaotic compressive sensing scheme for secure and energy-efficient data forwarding in body-to-body network. Comput Electr Eng 97:107633
Raghunathan V et al (2004) Energy efficient wireless packet scheduling and fair queueing. ACM Trans Embed Comput Syst 3:3–23
Tickoo O, Sikdar B (2004) A queueing model for finite load IEEE 802.11 random access MAC. In: IEEE international conference on ICC, France
Nageswari D, Maheswar R, Kanagachidambaresan GR (2018) Performance analysis of cluster based homogeneous sensor network using energy efficient N-policy (EENP) model. Clust Comput 22:12243–12250
Malathy S, Rastogi R, Maheswar R, Kanagachidambaresan GR, Sundararajan TVP, Vigneswaran D (2019) A novel energy-efficient framework (NEEF) for the wireless body sensor network. J Supercomput 76:6010–6025
Jayarajan P, Kanagachidambaresan GR, Sundararajan TVP, Sakthipandi K, Maheswar R, Karthikeyan A (2018) An energy aware buffer management (EABM) routing protocol for WSN. J Supercomput 76:4543–4555
Jayarajan P, Maheswar R, Kanagachidambaresan GR (2017) Modified energy minimization scheme using queue threshold based on priority queueing model. Clust Comput 22:12111–12118
Thirumoorthy P, Kalyanasundaram P, Maheswar R, Jayarajan P, Kanagachidambaresan GR, Amiri IS (2019) Time-critical energy minimization protocol using PQM (TCEM-PQM) for wireless body sensor network. J Supercomput 76:5862–5872
Jayarajan P, Maheswar R, Kanagachidambaresan GR, Sivasankaran V, Balaji M, Jagannath Das (2018) Performance evaluation of fault nodes using queue threshold based on N-Policy priority queueing model. IEEE – ICCCNT 2018, IISc, India
Jayarajan P, Maheswar R, Sivasankaran V, Vigneswaran D, Udaiyakumar R (2018) Performance analysis of contention based priority queuing model using N-Policy model for cluster based sensor networks. IEEE – ICCSP 2018, India
Ashraf Darwish, Kanagachidambaresan GR, Maheswar R, Laktharia KI, Mahima V (2017) Buffer capacity based node life time estimation in wireless sensor network. In: The Eighth IEEE international conference on computing, communication and networking technologies (ICCCNT), IIT Delhi, 3–5 July
Bisnik N, Abouzeid A (2006) Queuing network models for delay analysis of multihop wireless ad hoc networks. In: International wireless communications and mobile computing conference (IWCMC 2006) Vancouver, IEEE Communication Society and ACM, July
Mohsin Iftikhar, Hossain MA (2011) An analytical G/M/1 queueing model for providing guaranteed QoS in multimedia surveillance. In: Proceedings of IEEE ICME 2011, Spain
Mohsin Iftikhar, Nada Al Elaiwi, Mehmet Sabih Aksoy (2014) Performance analysis of priority queuing model for low power wireless body area networks (WBANs). In: The 2nd international workshop on communications and sensor networks (ComSense-2014), pp 518–525
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Nidhya, R., Pavithra, D., Kalpana, R., Kathirvelu, M., Jayarajan, P. (2023). Energy Harvesting Scheme Using Queuing Theory for Wireless Body Area Network. In: Nella, A., Bhowmick, A., Kumar, C., Rajagopal, M. (eds) Energy Harvesting Trends for Low Power Compact Electronic Devices. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-35965-1_9
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