Cognitive Sensors and IoT:Architecture, Deployment, and Data Delivery
Smart environments, enabled by Wireless Sensor Networks (WSNs), have emerged as one of the most promising applications in the Internet of Things (IoT) era. These smart environments require that the underlying sensor network infrastructure be enriched with smart devices, so that the network can understand and respond to requests from multiple users with diverse information requirements. Now, the use of artificial intelligence has enabled some amount of user-requirement awareness in sensor networks. However, there is no architectural framework about how cognition is to be incorporated in the network, or where the smart decision making shall be imple-mented. In addition, WSN implementations are mostly address-centric, where users must specify the location from where data must be gathered. But this is counterintuitive to how users would like to access information in a smart environment. Moreover, managing the large IP address space becomes problematic as the network size expands to vast counts of sensor nodes.
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