Energy-Efficient Cooperative Spectrum Sensing Based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks

Nowadays, Cognitive Radio Sensor Networks (CRSN) arise as an emergent technology to deal with the spectrum scarcity issue and the focus is on devising novel energy-efficient solutions. In static CRSN, where nodes have spatial fixed positions, several reported solutions are implemented via sensor sel...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.720-732
Main Authors: Kaschel, Hector, Toledo, Karel, Gomez, Jorge Torres, Garcia, M. Julia Fernandez-Getino
Format: Article
Language:English
Subjects:
Algorithms
Cognitive radio
Cooperative communication
Dynamic CRSN
Energy consumption
Energy efficiency
Femtocell networks
Networks
Nodes
Optimization
Search problems
Sensors
spectrum sensing
Stochastic processes
Stochastic programming
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Summary:Nowadays, Cognitive Radio Sensor Networks (CRSN) arise as an emergent technology to deal with the spectrum scarcity issue and the focus is on devising novel energy-efficient solutions. In static CRSN, where nodes have spatial fixed positions, several reported solutions are implemented via sensor selection strategies to reduce consumed energy during cooperative spectrum sensing. However, energy-efficient solutions for dynamic CRSN, where nodes are able to change their spatial positions due to their movement, are nearly reported despite today's growing applications of mobile networks. This paper investigates a novel framework to optimally predict energy consumption in cooperative spectrum sensing tasks, considering node mobility patterns suitable to model dynamic CRSN. A solution based on the Kataoka criterion is presented, that allows to minimize the consumed energy. It accurately estimates -with a given probability-the spent energy on the network, then to derive an optimal energy-efficient solution. An algorithm of reduced-complexity is also implemented to determine the total number of active nodes improving the exhaustive search method. Proper performance of the proposed strategy is illustrated by extensive simulation results for pico-cells and femto-cells in dynamic scenarios.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3046466