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Architecting Service Based Sensor Networks for the Intelligent AssimilationDOI: 10.1155/2014/701829 Abstract: The aim of this paper is to propose an architectural model for assimilating distributed sensor networks through cloud paradigm. This strategy can be applied to monitor and control the physical parameters such as temperature, pressure, and level. It is proposed to consider the use of service oriented architecture to program and deploy the sensed parameters. The service oriented architecture for sensor network has been implemented in such a way that, for every specific requirement of the monitor center, the assimilation agent invokes the services of the sensors through a registry and the specific changes in the sensed parameters are also notified as auditable event using push interaction pattern of SOA. The assimilation agent serves as an intelligent component by providing authentication services. This SOA is extended to integrate different types of sensor networks through cloud environment. Hence several sensors can be networked together to monitor different process parameters and they have been assimilated with Internet by registering them as services, hence a complete distributed assimilation environment is exploited. 1. Introduction The industrial process parameters such as temperature, pressure, and level, are time critical and they have been traditionally monitored at the control centers. The physical parameters measured by analog or digital instruments are converted into electrical parameters such as voltage and/or current, so that it is easier to transmit them to a distant control center. The above methods of monitoring, analysis, and control are possible only within the industrial coverage area. Recent advances in microsensor technology have led to the large-scale deployment of low cost and low power sensing devices to sense the process parameters with computational and wireless communication capabilities. The heterogeneous sensors to sense the different process parameters sensors to sense the different process parameters are networked together to form a distributed sensor network. For such applications, sensor networks could not operate as stand-alone networks. There must be an effective way for user to gain access to the data produced by the sensor networks. The integration of sensor networks with Internet is one of the open research issues in wireless sensor networks. At the same time, it is envisioned that sensor networks are to be pervasive and ubiquitous. It makes a lot of sense to integrate sensor networks with Internet [1]. It is not possible to give an IP address to every sensor node for their large numbers, thereby making it impossible
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