A Study on Sensory Data processing Framework in integration of WSN and Cloud Computing

Abstract: Wireless sensor network (WSN) are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to pass cooperatively their data through the network to a main location. Although WSNs have many advantages such as small size, low cost, low power and can communicate with each other over a short range, they have many limitations in terms of their processing power, storage resources, and battery life. Cloud computing (CC) is a distributed computing paradigm that provides access of the resources such as storage, network, servers and applications on demand. The integration of wireless sensor network and cloud computing which consists of taking advantages of data gathering capability of WSN as well as the data storage and processing ability of CC is done to overcome limitations of WSN. This integration provides a flexible, an open and reconfigurable platform for different monitoring and controlling applications. In this work we show the importance of integrating wireless sensor network with cloud to achieve these objectives. Then we present some issues and methodologies used by some authors in integration of wireless sensor network with cloud computing along with future directions.

Keywords: Wireless Sensor Network (WSN), Cloud Computing (CC), Data Processing, Integration.