Improvement of Network Lifetime and Throughput of Transmission Model Energy Consumption in Wireless Body Area Network

Abstract

Wireless body area network (WBAN) finds great application in healthcare systems. For health monitoring it is essential that an authentic data reaches the sink node, which is then forwarded to external healthcare application. The untrusted sensor nodes hamper the performance of WBAN network. Further, the energy consumption of sensor nodes should be efficient for improving the throughput of the network. The sensor node classification approach will be proposed in future work to improve the efficiency of WBAN even more. This classification approach prominently depends upon feature extraction and these features are obtained from the implemented transmission of WBAN. Here in this paper, the performance of the network is analyzed in terms of network lifetime, throughput, residual energy and path loss. Further, the futuristic approach of using and manipulating WBAN data is discussed. 

Country : India

1 Thummalagunta Aswani

  1. Assistant Professor, Department of Computer Science And Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India

IRJIET, Volume 3, Issue 3, March 2019 pp. 34-39

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References

  1. Adhikary S., Chattopadhyay S., Choudhury S.: A Novel Bio-inspired Algorithm for Increasing Throughput in Wireless Body Area Network (WBAN) by Mitigating Inter-WBAN Interference. In: Chaki R., Cortesi A., Saeed K., Chaki N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 667. Springer, Singapore (2018)
  2. Peng, H., Tian, Y., Kurths, J., Li, L., Yang, Y., Wang, D.: Secure and energy-efficient data transmission system based on chaotic compressive sensing in body-to-body networks. IEEE Trans. Biomed. Circ. Syst. 11(3), 558–573 (2017)
  3. Samanta, A., Misra, S.: Energy-efficient and distributed network management cost minimization in opportunistic wireless body area networks. IEEE Trans. Mobile Comput. 17, 376–389 (2017)
  4. Heinzelman, Wendi Rabiner, Anantha Chandrakasan, and Hari Balakrishnan. “Energy-efficient communication protocol for wireless microsensor networks.” System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on. IEEE, 2000
  5. Nadeem, Q., Javaid, N., Mohammad, S.N., Khan, M.Y., Gull, M.: SIMPLE: Stable Increased-throughput Multi-hop Protocol for Link Efficiency in Wireless Body Area Networks. 26, Jul. 2013
  6. Jing, L., Ming, L., Bin, Y., Wenlong, L., A Novel Energy Efficient MAC Protocol for Wireless Body Area Network. China communication, Feb. 2015.
  7. Negra, R., Jemili, I., Belghith, A.: Wireless Body Area Networks: Applications and Technologies. Procedia Computer Science 83, 1274 – 1281 ( 2016 )
  8. Kalaiselvi, K., Suresh, G.R. & Ravi, V.: Genetic algorithm based sensor node classifications in wireless body area networks (WBAN). Cluster Comput (2018)
  9. Dabhi, K., Mahet, A.: Internet of Nano Things-The Next Big Thing. In: International Journal of Engineering Science and Computing, vol 7 Issue No.4 (2017)