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Maintaining privacy while processing and communicating data through cloud resources is a critical challenge.
Sensors are tiny electronic devices having limited battery energy and capability for sensing, data processing and communicating.
The combination of Lynx and Ocelot provides sensor nodes that are capable of collecting, recording, processing, and communicating data without any central server support.
These nodes, capable of sensing, processing, and communicating one or more vital signs, can be seamlessly integrated into wireless personal or body networks (WPANs or WBANs) for health monitoring.
In organizational settings, the infrastructure is most commonly seen as a utility aimed at reducing costs of processing and communicating materials and information throughout the organization [ 10].
Each node basically has sensing, and data processing and communicating capabilities.
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The smart grid implementation requires intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts of the grid.
Based on small-scale and low-cost devices, Wireless sensor networks (WSN) achieves processing, storing, sensing and communicating.
This domain is related to cognitive skills: information processing, reasoning, appraisal, and communicating empathy [ 3].
The Internet of Things (IoT) is a paradigm under which common objects are equipped with sensing, information processing and communication capabilities, and communicate with each other over the internet [1].
We developed three complex and authentic problem scenarios, each of which demands for various steps of researching, evaluating and processing information, decision making, and communicating a proposed solution within 30 min.
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