Cloud assisted performance enhancement of smart applications in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) consist of densely distributed sensor nodes with embedded low computational power CPU, limited storage and low power radios. WSNs are widely used to monitor environmental conditions, such as temperature, sound, and vibration and pressure, in disaster relief, home monitoring etc. Sensors need to provide precise timely information in military and health applications. WSNs limited computational power and energy constraint restricts its use for smart application. Large storage and huge computational requirement of smart applications is satisfied by cloud computing paradigm. Energy efficient integration of WSN with Cloud, assist development of low cost processing and storage applications. We proposed need and various ways to integrate sensors to cloud highlighting use of computation offloading to improve performance.