A Review on Structural Health Monitoring in Wireless Sensor Networks

Abstract

Wireless Sensor Networks have gained popularity due to their real time applications and low-cost nature. These networks provide solutions to scenarios that are critical, complicated and sensitive like military fields, habitat monitoring, and disaster management. The nodes in wireless sensor networks are highly resource constrained. Routing protocols are designed to make efficient utilization of the available resources in communicating a message from source to destination. “Smart” sensors with embedded microprocessors and wireless communication links have the potential to fundamentally change the way civil infrastructure systems are monitored, controlled, and maintained. A structural health monitoring system is designed, implemented, and tested using Wireless Sensor Networks (WSN). Structural health monitoring (SHM) is an emerging field in civil engineering, offering the potential for continuous and periodic assessment of the safety and integrity of civil infrastructure. Based on knowledge of the condition of the structure, certain preventive measures can be taken to prolong the service life of the structure and prevent catastrophic failure. Damage detection strategies can ultimately reduce life-cycle cost. Thus most of the industrialized countries are on the verge of increasing their budget for SHM of their major civil infrastructure. The SHM system often offers an opportunity to reduce the cost for the maintenance, repair and retrofit throughout the life of the structure. In this paper, a survey on various SHM systems is presented.

Authors and Affiliations

H. Vignesh Ramamoorthy , Dr. R. Gunavathi

Keywords

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  • EP ID EP22432
  • DOI -
  • Views 254
  • Downloads 4

How To Cite

H. Vignesh Ramamoorthy, Dr. R. Gunavathi (2016). A Review on Structural Health Monitoring in Wireless Sensor Networks. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(7), -. https://europub.co.uk/articles/-A-22432