monitoring the health status of civil structures by deploying backup sensors with scheduling scheme

M. Rajalakshmi,S.Hemalatha

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:4         Issue:3         Year: 01 April,2016         Pages:668-675

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

Sensor networks are used for Structural Health Monitoring (SHM). Wireless Sensor Network (WSN) is an effective and economically viable solution used in variety of applications for sensing the temperature, pressure and sound. The SHM is a technique to determine the condition of a civil structure, provide spatial and quantitative information regarding the structural damage and predict the performance of the structure. It is used to monitor the operation and health status of the civil structures even in the presence of sensor fault. Sensor deployment and decentralized computing are the two challenges that are addressed in the WSN. Communication errors, unstable connectivity and sensor fault affect the performance of SHM. To make WSN resilient to failures Fault Tolerance in SHM (FTSHM) approach is used. It searches the repairing points in cluster in a distributed manner and places a set of backup sensors by Backup Sensor Placement (BSP) algorithm. The proposed Fault tolerant Node Scheduling (FNS) algorithm activates the set of backup nodes for each active node if failure occurs. It consists of two phases sensing phase and scheduling phase. All nodes are scheduled to be in active mode broadcasts the Bandwidth REQuest (BREQ) message which contains its ID. This will decrease security issues, enables stable connectivity and maximize network lifetime. The performance is evaluated in OMNeT++ and the system level simulations are performed in C++ to demonstrate the effectiveness and efficiency of the scheduling scheme for a set of backup sensors.

Kewords

structural health monitoring, sensor deployment, wireless sensor network, bandwidth request, decentralized computing.

Reference

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