Cognitive radio sensor networks in industrial applications

Abstract

The need for industrial monitoring and process control has arisen with the demand to overcome production capacity limitations, improve process efficiency, comply with the environmental regulations, predict machine failures, and precaution against natural accidents [14, 18]. Collected information from industrial equipment is used to diagnose efficiency decreases and faults in industrial applications. Therefore, reliable and timely information gathering from industrial equipment is extremely crucial to prevent possible inefficiencies and malfunctions in industrial applications

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