Investigation on Performance of Distributed Autonomous Sensors on Embedded Platforms

A node is an intersection point that can generate, receive, store or transmit data along distributed network routes and allows us to analyze the data at a particular point. In a network node, each sensor has several parts such as transceiver with an internal or connection to an external antenna, micro controller, electronic circuits for interfacing sensors and energy source. The scaling of single node cluster has a limitation of CPU computational powers, maximum memory and number of processes that can run on a single machine. In order to overcome these limitations multi node clusters are needed. To process huge amount of data at the same timeframe, multi node clusters are used. To monitor environment and physical conditions such as temperature, ambient light etc. and to cooperatively pass their data through network to a main location a distributed autonomous sensor called Wireless Sensor Networks (WSN) are used. WSN is a low-cost technology which is built of nodes from few to several hundred or thousands where each node is connected to single or several sensors. It acts like a bridge between virtual and real world. Besides, using a single platform for WSN, the proposed work send and receive the data on different platforms like FRDM-KL25Z, and Arduino Uno using WSN Multiple Nodes. A novel methodology is developed to create a node, transmit the data from the sensor through the created node, calculation of time to transmit and receive data through the nodes and comparing the network latencies.