Social Sensor Networks Projects connect social people to access sensor data from anywhere. At length, the increase in the use of the social network by a special smartphone applications blows up the concept of Social Sensor Networks.
This field combines social and sensor networks. By the time it joins with the aid of cloud for data storing and sharing for social users. At first, the sensor devices from a wide environment collect many types of contextual data and then deliver it to the cloud, i.e., a specific social application. In this way, the sensor and socials apps interface with each other.
To say this field deals with data gathering as well as data sharing in Social Sensor Networks Projects.
In this situation, the back end storage not only uses the cloud but also uses concepts Hadoop projects. Since the social network as twitter and others have a massive number of users. With this purpose in mind, the need for intelligence is grown, and so it optimizes the process of gathering, storage, delivery, and others.
To point out the sensors in this network collects the data and studies it, then, at last, it makes a result. So far, this is the workflow at the sensor, and then it is in use by the social apps that link people worldwide.
Beyond all this, the social sensor idea also involves in the Cyber-physical-social system (CPSS). On the one hand, the CPSS is beginning to go for the dynamic feature of the social sensors. Therefore CPSS combines physical as well as social sensors together into the network for monitoring.
Further, it is able to work on both spatial and temporal changes. That is to say; it supports medical monitoring, autonomous system, and more. As we discussed above, each process can make use of intelligent methods as machine, deep and reinforcement learning, and so on.
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