Task based Approach for Smart Secure Data Transmission using TinyOS RTOS

In sensor nodes the communications are established for many commercial purposes using basic client server method. The data is exposed to outside world while communicating with the physical environment. The data is not secured and needs to be protected from external threats. The idea behind this research work is to establish a secure smart wireless connection between a client and server. The proposed work is using TinyOS RTOS for implementing a smart and secure data as compared with GPRS method of transmission and reception. The main advantages in our method advantages are that the number of nodes can be increased, the visual method between the user and the system increases the flexibility of the system and also the interfacing circuit options are embedded as software models. We have implemented the application using IEEE 802.15.4 standard communication protocol. The zigbee is the most commonly used wireless device for all sensor networks. The zigbee assembling with PC needs external interface system for interfacing. The IoT and android based smart metering needs a coding method for data acquisition but tinyOS data acquisition is acquired by hardware. An encryption method is developed on transmission side to send the data securely. Hence the sensor MOTES receive the real time data and transmit to the remote nodes through wireless transmission. A primary key value is added with the sensor data and is transmitted from the gate way base station (server) to the remote sensor nodes (clients). The hardware is implemented in TinyOS platform using network embedded C (nesC) software. The added advantage is (over the air programming) OTAP of the MOTEWORKS software used in our proposed work. The special feature of TinyOS RTOS is that it has a better visualization tool for the end user to monitor the sensor nodes. The board data is monitored and viewed through the MOTEVIEW visualization tool. The method implements the encryption using the RTOS task in TinyOS MOTES. The proposed method occupies less memory space for task as compared to event based simulation. The data is finally transmitted as wireless sensor MOTES and controlled by the server.