NDLI: Cognitive Radio Sensor Networks: Challenges and Application Areas

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Cognitive Radio Sensor Networks: Challenges and Application Areas

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Cognitive Radio Sensor Networks: Challenges and Application Areas

Content Provider	ACM Digital Library
Author	Boubiche, Djallel Eddine
Abstract	Wireless Sensor Networks (WSNs) are a class of technology represented with a set of sensor nodes. The main objective of these nodes is to collect data and monitor an environment's events. The basic tasks a node can handle are sensing data (humidity, temperature, fire, etc.), transmitting over short distances, and performing limited data processing. Common WSNs are used in many application fields. The limited resources of the WSNs (low processing capacity, memory and energy reserves) makes them underexploited compared to the WSNs' spectrum utilization. Therefore their applications can be significantly increased by enhancing their performance. To address this challenge, cognitive radio sensor networks (CRSNs) examine how wireless sensor nodes with cognitive radio capabilities can address these performance challenges and improve the spectrum utilization. A new kind of WSN (CRSN) with better performance is created throgh the introduction of cognitive radio to traditional sensor networks. This new class of WSNS is more adapted to some specific applications which require more resources capabilities. In this talk, I will offer a perspective on the emerging field of cognitive radio sensor networks and its current applications.
Starting Page	1
Ending Page	1
Page Count	1
File Format	PDF
ISBN	9781450334587
DOI	10.1145/2816839.2852765
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cognitive radio sensor networks Crsn protocols Crsn technology
Content Type	Text
Resource Type	Article

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