The major healthcare applications in WBAN is monitoring the human bodies, sensing the data from the human bodies, and collecting the information from it. The body sensors have the restricted energy resource. So its energy exhaustions going to cause a severe network ruin like throughput, latency, and energy efficiency. The various amounts of energy consumption rate occurred due to the various body sensors. Also the topological variations in sensor path are more often render to the routing networks which are unfeasible. This repeated network failure gives the harmful effect on network path selecting ability to upkeep quality of service-driven services. To crack the above-mentioned problem, this paper proposed EEFDRS strategy. This strategy helps to improve the lifetime of the sensor and also balancing the energy consumption and select the best routing path for data transmission. This paper includes the major contributions of (1) to reduce the size of physiological data, compressed sensing technology is used, and the data packets are to be forwarded (2) EEFDRS route selection algorithm is proposed for the best stable, and optimal path for data transmission is selected. In addition, EEFDRS improves reliability and reduce traffic delay.
CITATION STYLE
Smilarubavathy, G., & Ayyasamy, S. (2019). Energy efficient forwarding data and route selection (EEFDRS) algorithm for wireless body area network. In Smart Innovation, Systems and Technologies (Vol. 104, pp. 183–192). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-13-1921-1_18
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