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Energy Efficient Cognitive Radio Sensor Networks with Team-Based Hybrid Sensing

Publication Type : Journal Article

Publisher : SPRINGER

Source : Wireless Personal Communications, published by SPRINGER. Vol. 111, Issue 2, (2020)

Url : https://link.springer.com/article/10.1007/s11277-019-06893-y

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Year : 2020

Abstract : The massive growth in modern wireless technologies and devices has resulted in increase in spectrum demands and energy consumption of wireless sensor network (WSN). To overcome the spectral scarcity and to meet the energy requirements, a cognitive radio enabled WSN with an energy efficient medium access control protocol is required. However, existing approaches utilize either reactive sense and avoid approach or proactive spectrum access to reconfigure spectrum usage based on observations. In this paper, a team-based hybrid sensing method is proposed for cognitive radio sensor networks (CRSNs), which combines both reactive sensing and proactive sensing in a team based approach. Here, the sensor nodes are grouped into teams based on the detection probability of each primary user (PU) channels and each team senses a PU channel. To avoid sensing overheads and to limit energy consumption, a node with best detection probability

Cite this Research Publication : BALA VISHNU J, M.A. BHAGYAVENI, "Energy Efficient Cognitive Radio Sensor Networks with Team-Based Hybrid Sensing", Wireless Personal Communications, published by SPRINGER. Vol. 111, Issue 2, (2020)

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