This paper is published in Volume-3, Issue-1, 2017
Area
Communication
Author
Aniket Nale, Dhaigude N. B
Org/Univ
Savitribai Phule Pune University, Pune, Maharashtra, India
Pub. Date
21 February, 2017
Paper ID
V3I1-1361
Publisher
Keywords
Cognitive Radio, Co-operative Spectrum Sensing(CSS), Sensing Accuracy, Sensing Overhead, Cognitive Radio Network(CRNs).

Citationsacebook

IEEE
Aniket Nale, Dhaigude N. B. Smart Group-Based Work in Cognitive Radio Network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aniket Nale, Dhaigude N. B (2017). Smart Group-Based Work in Cognitive Radio Network. International Journal of Advance Research, Ideas and Innovations in Technology, 3(1) www.IJARIIT.com.

MLA
Aniket Nale, Dhaigude N. B. "Smart Group-Based Work in Cognitive Radio Network." International Journal of Advance Research, Ideas and Innovations in Technology 3.1 (2017). www.IJARIIT.com.

Abstract

In this paper, consider the multiple channels and group-based cognitive radio network, the secondary users having heterogeneous sensing ability in terms of high accuracy for sensing. We use cooperative spectrum sensing (CSS) scheme for cooperating secondary users in multiple workgroups such that different work group is responsible for sensing different channel. The group-base CSS scheme use in workgroup we share the channel in same cooperating users are in multiple rounds.In this work, we propose adaptively assigning that the heterogeneous Co-operating secondary users to different groups to maximize the throughput efficiency while maintaining a predefined sensing accuracy. In Cognitive Radio Network is detected by channel are use or not, if not the avoid are there but sometimes the lot of constraints & challenges, also issues are there it get the amount of busy server. The PU users get not possible to provide network then use smartly SU.It provides a network to group-based with the help of different sensing round. The Heterogeneous group based channel shares CSS scheme. It is Adaptive Secondary User’s solve problem about Heterogeneous Group user and achieves that the maximize throughput efficiency & low computational complexity significantly that can be as compared with existing non-adaptive assignment and sequential CSS scheme.