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SAMON-C:Sensor Access and Monitoring in Cloud Environment
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This paper aims to examine how the sensor information can be deployed as a service, through a new resource called ―cloud‖. The recent research issue in integrating Wireless sensor Networks with Cloud is to find a method to establish a faster communication link between the two. The wireless sensor networks are used to sense and collect the information required. The sensor information is deployed into the cloud through the sensor profile for web services. The Sensor Profile for Web Services specifies a lightweight subset of the overall Web services protocol suite that is appropriate for network-connected sensors. Cloud generally offers resources on demand. Since wireless sensor networks are limited in their processing power, battery life and communication speed, cloud computing usually offers the opposite, which makes it attractive for long term observations, analysis and use in different kinds of environments. In this paper a model is presented, which combines the concept of wireless sensor networks with the cloud computing paradigm, and show how both can benefit from this combination. Sensor data access is thus moved from loosely managed system to a well managed cloud. The integration of sensor information into the cloud through the sensor as a service paradigm proves the faster communication establishment. The scalability of this approach seems to be unlimited, since wireless sensor networks operate independently, and are connected to the cloud computing environment through a scalable number of wireless sensor network communication gateways. The cloud computing environment leads to the concept of green engineering, because it offers a massive storage of information at a distance place, which makes it very attractive. The main goal is to design a flexible architecture in which sensor network‘s information can be accessed by applications efficiently.
Keywords
Cloud, Information, Resources, Sensors, Sensor Profiles, Scalability, Web Services.
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