ISSN (ONLINE): 2454-9762 ISSN (PRINT): 2454-9762 Available online at www.ijarmate.com International Journal of Advanced Research in Management, Architecture, Technology and Engineering (IJARMATE) Vol. 1, Issue 3, October 2015 All Rights Reserved © 2015 IJARMATE 19 Location Optimization Of Wireless Sensor Networks In Specific to Structural Health Monitoring Systems S.Surya 1 , Dr.D.C.Joy Winnie Wise 2 P.G. Scholars, Department of CSE, Francis Xavier Engineering College, Tirunelveli 1 Prof and Head, Department of CSE, Francis Xavier Engineering College, Tirunelveli 2 Abstract—there has been a rapid advancement in wireless sensor network (WSN) technology in the past few years and its applicationin structural monitoring has been the focus of several research projects. Starting from petroleum exploration, mining, weather and even battle operations, all of theserequire sensor applications. One reason behind the growing popularity of wireless sensors is thatthey can work in remote areas without manual intervention. All the user needs to do is to gatherthe data sent by the sensors, and with certain analysis extract meaningful information from them.Usually sensor applications involve many sensors deployed together. These sensors form anetwork and collaborate with each other to gather data and send it to the base station. The basestation acts as the control centre where the data from the sensors are gathered for further analysisand processing. In a nutshell, a wireless sensor network (WSN) is a wireless network consistingof spatially distributed nodes which use sensors to monitor physical or environmental conditions.These nodes combine with routers and gateways to create a WSN system. The evaluation of the newly developed sensor system is an important aspect of such research efforts. Although much of this evaluation is donein the laboratories and using generic signal processing techniques, it is important to validate the system for its intendedapplication as well. In this paper the performance of a newly developed sensor is evaluated by usingthe data specimen with a local damage detection algorithm.According to deployment methodsfrom civil/structural/mechanicalengineering, wired sensors are usually deployed at strategic locations to achieve the best Estimates of structural health status. To prolong the WSN lifetime, the energy cost of each sensor for monitoring must be carefully considered. An energy-efficient SHM (Structural Health Monitoring) algorithm, called Damage- Indicator is proposed; it runs on each sensor and then provides a light-weighted indication of damage in a cluster in a decentralized manner. If there is no indication found in the cluster, the “uninteresting” data transmission toward the BS can be reduced. Also, it is used to prevent the path in WSN by calculating residual energy of the nodes.The collected data from the sensors is then used to estimate two sets of system influence coefficients with the wired one as thereference baseline. The performance of the WSN is evaluated by comparing the quality of the influence coefficients andthe rate of convergence of the estimated parameters. Keywords—SHM(Structural Health Monitoring), Wireless Sensor Networks, Energy Optimization, Damage Detection III. INTRODUCTION The deterioration of our civil infrastructure is a growing Problem both around the world. For example, during their lifetimes, bridges suffer from environmentalcorrosion, persistent traffic and wind loading, extreme earthquakeevents, material aging, etc., which inevitably result in structural deficiencies. According to the American Societyfor Civil Engineers 2009 Report Card for America's Infrastructure, more than 26%, or one in four, of the American nation'sbridges were either structurally deficient or functionally obsolete". Our damage facing civil infrastructure faces the critical challenge of long-term structural health monitoring for damage detection and localization. In contrast to existing research that often separates the designs of wireless sensor networksand structural engineering algorithms; this paper proposes a co-design approach to structural health monitoring based on wireless sensor networks. Our approach closely integrates (1) flexible-based damage localizationmethods that allow a tradeoff between the number of sensors and the resolution of damage localization, and (2) an energy-efficient, multi-level computing architecture specially designed to leverage the multi-resolution feature of the flexible-based approach. The proposed approach has been simulated and the simulations demonstrate the system's efficiency in damage localization and energy efficiency. What is needed is a fundamentally different approach which considers both the constraints of the underlyingWSN system (the cyber components) and the SHMrequirements (the physical components) in its numerical approach.This can be achieved by leveraging the increasinglypowerful processing capability of wireless sensor \motes" topartially process locally-collected data, extracting (and subsequentlyexchanging) only the important features relevantfor SHM. Several recent studies demonstrate the potentialfor distributed SHM approaches to significantly reduce energycost through localized data processing. In this paper, we present a hierarchical decentralized SHM system that implements a exibile-based damage identification and localization method. In contrast to previousdecentralized algorithms like DLAC, exible-based methods explicitly