Title: On the coverage effects in wireless sensor networks based prognostic and health management

Authors: Ahmad Farhat; Christophe Guyeux; Abdallah Makhoul; Ali Jaber; Rami Tawil

Addresses: FEMTO-ST Institute, UMR 6174 CNRS, DISC Computer Science Department, University of Bourgogne Franche-Comté, 15 Bis Avenue des Montboucons, 25030 Besançon, France ' FEMTO-ST Institute, UMR 6174 CNRS, DISC Computer Science Department, University of Bourgogne Franche-Comté, 15 Bis Avenue des Montboucons, 25030 Besançon, France ' FEMTO-ST Institute, UMR 6174 CNRS, DISC Computer Science Department, University of Bourgogne Franche-Comté, 15 Bis Avenue des Montboucons, 25030 Besançon, France ' Faculty of Sciences, Computer Science Department, Lebanese University, Choueifat, Beirut 1500, Lebanon ' Faculty of Sciences, Computer Science Department, Lebanese University, Choueifat, Beirut 1500, Lebanon

Abstract: In this paper, we used wireless sensor network (WSN) techniques for monitoring an area under consideration, in order to diagnose its state. These networks composed by a large number of sensor nodes having very limited and almost nonrenewable energy. Thus, maintain the quality of service (QoS) of a wireless sensor network for a long period is very important in order to ensure accurate data and diagnostics. One of the most important indexes of the QoS in WSN is the coverage. Many studies have been conducted to study the problem of detecting and eliminating redundant sensors in order to improve energy efficiency, while preserving the network's coverage. However, in this paper, we discuss the coverage problem in WSNs and its relation with prognostic and health management. The aim of this paper is to study the impact of coverage issues in WSN on these processes. We emphasised several issues and studied various parameters related to the coverage problem: like scheduling mechanisms, density, deployment of sensors, energy consumption. To reach this goal, evaluating both prognostic and health management with the coverage issues in WSN, we have used four diagnostic algorithms.

Keywords: WSNs; wireless sensor networks; coverage; density; scheduling mechanisms; prognostic and health management; diagnostics.

DOI: 10.1504/IJSNET.2018.096234

International Journal of Sensor Networks, 2018 Vol.28 No.2, pp.125 - 138

Accepted: 11 Mar 2018
Published online: 15 Sep 2018 *

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