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Fault Tolerant Real Time Data Migration in Wireless Sensor Networks


B. Sahana, Dr. Abhay Deshapande, Harish Dayalan and Dr. Satish Tunga
Abstract

In the present scenario of cloud and Internet of Things, accumulation and retrieval of sensor data from wireless sensor networks have exhibited multiple challenges in terms of technology. In fact, network virtualization in the cloud environment has added more dimensions to these challenges. The three types of cloud services namely Platform as a service (Paas), Infrastructure as a service (Iaas), Software system as a service (Saas) have made it versatile and robust. The real time operating environments such as embedded systems and IOT’s, require the transfer of local data to the cloud via routing protocols. Though the wifi services like ESP8266 are prominent in the available approaches of data transfer from the embedded system to cloud, some of the issues related to malfunctioning of the hardwares and failure of sensor devices have remain unanswered. This paper proposes a new approach to migrate the wireless sensor data from the hardware to the cloud with the help of virtual machines associated with the RTOS. The data migration from the sensor to the virtual machine (VM) and thereby to the cloud, is monitored from remote location with help of an android app. This mechanism leads to a fault tolerant technique, which has reduced the loss of data during the transmission as it is recorded in VMs.

Volume 12 | 03-Special Issue

Pages: 1093-1100

DOI: 10.5373/JARDCS/V12SP3/20201355