Structural Health Monitoring (SHM) has been considered to afford up-to-date information about the state of structures by assessing structural vibration responses and further physical phenomena and disorders. Determining the structure conditions is not an easy task which is associated with complex civil structures. The main objective of SHM is earlier damage detection, inspection cost reduction and lifetime estimation. The modern improvements of wireless sensor networks paid attention in the field of structural health monitoring. The deployment of sensors are expected to provide the rich information about civil structures in an effective manner. The main limitations of sensors (small memory size, small communication throughput, limited speed of the CPU) reduce the effectiveness of SHM. We propose concoction node fault discovery approach in order to provide reliable communication in the wireless environment specifically having lot of obstacles. The HRPD algorithm select the Line of sight (LOS) nodes based on extracted RSS features which is higher than non LOS. The selected intermediate LOS nodes transmit the collected sensing information to the base station with reduced energy consumption. The Statistical link parameter estimation supports to detect the optimal path through continuous analysis of link metrics such like link bandwidth, response time and queue size. The LOS fault tolerant approach determines the faulty LOS nodes, and direct the system towards survivability. The simulation results shows that our proposed approach minimize the energy depletion and enhances the sensor node’s life time. The application of the proposed work helps to monitor the structural health of buildings, bridges and towers with high quality monitoring mechanism.

结构健康监测（SHM）被认为可以通过评估结构振动响应以及进一步的物理现象和紊乱来提供有关结构状态的最新信息。确定结构条件并非易事，这与复杂的土木结构有关。SHM的主要目标是早期发现损坏，降低检查成本和估计寿命。无线传感器网络的现代改进在结构健康监控领域引起了人们的关注。传感器的部署有望以有效的方式提供有关土木结构的丰富信息。传感器的主要局限性（较小的内存大小，较小的通信吞吐量，有限的CPU速度）降低了SHM的有效性。我们提出混合节点故障发现方法，以便在存在很多障碍的无线环境中提供可靠的通信。HRPD算法根据提取的RSS特征（比非LOS高）选择视线（LOS）节点。所选择的中间LOS节点以降低的能量消耗将所收集的感测信息发送到基站。统计链路参数估计支持通过对链路度量（例如链路带宽，响应时间和队列大小）的连续分析来检测最佳路径。LOS容错方法确定了有故障的LOS节点，并将系统定向到可生存性。仿真结果表明，我们提出的方法可以最大程度地减少能量消耗并延长传感器节点的使用寿命。