An Energy Efficient Routing Protocol for Wireless Body Area Sensor Networks
- 195 Downloads
In this paper a reliable, efficient in terms of power consumption and high stable network is proposed for Wireless Body Area Sensor Networks. Eight sensor nodes are used from which two are recording critical data. These two sensors are not apart of multi-hopping but send data direct to the sink. Remaining six sensors are computed to become a forwarder node. Forwarder nodes gathers data from sensors and after aggregating sends ti the sink. Two parameters are set for cost function so that a forwarder node is selected. If a sensor is having minimum distance and maximum energy as compared to the entire nodes then it will be selected as forwarder node. Multi-hopping is used to reduce the distance of data communication and to save energy consumption. Simulation is carried out and shows stable results.
KeywordsEnergy Sensors Routing protocol Health Sink
- 1.Muthulakshmi, A., & Shyamala, K. (2017). Efficient patient care through wireless body area networks—enhanced technique for handling emergency situations with better quality of service. Wireless Personal Communications, 95, 3755–3769.Google Scholar
- 5.Khan, R. A., Soomro, A. M., & Zafar, H. (2017). Minimizing path loss in medical wireless sensors in wireless body area sensor networks. Indian Journal of Science and Technology, 10. https://doi.org/10.17485/ijst/2017/v10i32/117001.
- 6.Khan, R. A., Memon, S., Awan, J. H., Zafar, H., & Mohammadani, K. H. (2017). Enhancement of transmission efficiency in wireless on-body medical sensors. Engineering Science and Technology International Research Journal, 1, 16–21.Google Scholar
- 9.Khan, R. A., Memon, S. A., Zardari, S., Das Dhomeja, L., & Usman, M. (2016). Transposition technique for minimization of path loss in wireless on-body medical sensor. Sindh University Research Journal (Science Series), 48(4), 747–754.Google Scholar
- 10.Ahmed, S., Javaid, N., Akbar, M., Iqbal, A., Khan, Z., & Qasim, U. (2014). LAEEBA: Link aware and energy efficient scheme for body area networks. In 2014 IEEE 28th international conference on advanced information networking and applications (AINA) (pp. 435–440).Google Scholar
- 11.Liu, B., Yan, Z., & Chen, C. W. (2016). Medium access control for wireless body area networks with QoS provisioning and energy efficient design. IEEE Transacttions on Mobile Computing, 1233(c), 1–14.Google Scholar
- 12.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 on Distributed Sensor Networks, 2014, 1–18.Google Scholar
- 13.Smail, O., Kerrar, A., Zetili, Y., & Cousin, B. (2016). ESR: Energy aware and stable routing protocol for WBAN networks. In International wireless communications and mobile computing conference (IWCMC), Paphos, 2016 (pp. 452–457).Google Scholar
- 14.Huynh, D., & Chen, M. (2016). An energy efficiency solution for WBAN in healthcare monitoring system. In 3rd international conference on systems and informatics (ICSAI), Shanghai, China, 2016, no. International conference on systems and informatics (ICSAI) (pp. 685–690).Google Scholar
- 15.Ben, H., Elias, J., Chaari, L., & Kamoun, L. (2015). A priority based cross layer routing protocol for healthcare applications. AdHoc Networks, 42, 1–18.Google Scholar
- 16.Latha, R., Vetrivelan, P., & Jagannath, M. (2017). Balancing emergency message dissemination and network lifetime in wireless body area network using ant colony optimization and Bayesian game formulation. Informatics in Medicine Unlocked, no. January, p. 2017.Google Scholar