An efficient approach for the detection of link failures in WBAN system for health care applications

Abstract

Summary Wireless body area network (WBAN) plays an important role in patient health care. The performance of this WBAN system is affected by link failures due to the presence of malicious sensor nodes. Hence, the detection and mitigation of this link failure is important for improving the efficiency of the WBAN system. This paper proposes a methodology for link failure detection using weight metric approach. The performance of the proposed methodology is analyzed in terms of packet delivery ratio (PDR), link failure detection latency, and link failure detection rate.

Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques

“…Aderibigde et al [ 12 ] used Medium Absolute Deviation (MAD) to detect temporal outliers in sensor readings, and the majority voting algorithm (VM) to identify false alarms. In [ 13 ], a link failure is detected before its occurrence using probability computation. The authors of [ 14 ] proposed a system which consists of two stages to detect fault; in the first stage they used a Pearson correlation coefficient to determine the physiological parameters strongly correlated to the actual value, and in the second stage they use statistical measures such as means and standard deviations, to obtain useful information about the capability of the actual sensor.…”

Systemic Overview of Microstrip Patch Antenna’s for Different Biomedical Applications

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“…This air mixed silicon has predetermined dielectric constant value as needed. 35 Some bio-medical applications of using MSPA are:…”