An Optimized Self Healing Reconfigurable Wireless Sensor Network Implemented on a FPGA Platform

The proposal of our research work is to develop a reconfigurable hardware to flourish an enhanced self-healing ability for sensor nodes using FPGA. Emphasizing the engineering wing, the Wireless sensor network plays a prominent role of successful applications. When there is an identification of frailty that is failing in node, it is commonly discarded and network is reorganized to ensure the normal operation of WSN.As such the maintenance cost and function of the network will decline occasionally. So we determined to design that FPGA based selfhealing to develop the wireless sensor node and repair the node hardware failures. By instigating the method of self-reconfiguration and developing system using “backup module”. In this study we contemplate the encoding process to aggregate the data and FPGA based self-healing contains power killing components such as data compressor and signal transducer. We proposed to project estimation that the light weight compression and fault prediction technique in present noble time. Our method is to facilitate the researchers in diverse applications (e.g. health, military, home and engineering) areas and it also depreciate (cheapen) the maintenance cost.