Title: Optimum data collection and fusion schemes in WBSN

Authors: Mohammad Mehrani; Iman Attarzadeh; Mehdi Hosseinzadeh

Addresses: Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, 6461645169, Iran ' Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, 64616, Iran; Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, 13185, Iran ' Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, 1449614535, Iran; Computer Science, University of Human Development, Sulaimaniyah, 00964, Iraq

Abstract: In this paper first we define our strategies aiming at minimising number of communicated data while keeping data integrity in wireless body sensor networks (WBSNs). In this way, we introduce modified Fisher test, develop Spline interpolation as the behaviour function and define controlling parameters. To achieve at significant results, we propose three efficient algorithms. Furthermore, at the second step, we represent our method to calculate the priority of vital sign data packets. For this purpose, we employ Spline interpolation function and define six new controlling parameters. At the third step, for correct inference of patient's situations we introduce our method which develops adaptive neuro fuzzy inference system (ANFIS) with cross-validation. Simulation results in MATLAB R2018b demonstrate the optimum performance of our schemes for number of communicated data, network lifetime, priority based data communication and also correct inference of patient's situations.

Keywords: WBSN; wireless body sensor networks; data collection; data fusion; energy optimality; sampling rate; activity; patient's risk; pivot biosensor packet priority; ANFIS; adaptive neuro fuzzy inference system; Spline.

DOI: 10.1504/IJSNET.2020.108558

International Journal of Sensor Networks, 2020 Vol.33 No.3, pp.123 - 147

Received: 12 Jan 2020
Accepted: 12 Jan 2020
Published online: 17 Jul 2020 *

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