Author(s):
1. Utpala Borgohain:
Centre for Computer Science and Applications, Dibrugarh University,Dibrugarh, Assam,India
2. Surajit Borkotokey:
Department of Mathematics, Dibrugarh University,Dibrugarh, Assam,India
3. S. K. Deka:
Department of Computer Science and Engineering, Tezpur University,Tezpur, Assam,India
Abstract:
Cooperative spectrum sensing improves sensing performance of secondary users by exploiting spatial diversity in cognitive radio networks. However, cooperation of secondary users introduces some overhead also that may degrade the overall performance of cooperative spectrum sensing. The trade-off between cooperation gain and overhead plays a vital role in modeling cooperative spectrum sensing. This paper considers overhead in terms of reporting energy and reporting time. We propose a cooperative spectrum sensing based coalitional formation game model where the utility of the game is formulated as a function of throughput gain and overhead. To achieve a rational average throughput of secondary users, the overhead is to be optimized. This work emphasizes in optimization of overhead incurred. In cooperative spectrum sensing, participation of large number of cooperating users improve detection performance, on the contrary, it increases overhead too. So, to limit the maximum coalition size, we propose a formulation under the constraint of probability of false alarm. To reduce reporting overhead, an efficient fusion center selection scheme and an algorithm to select eligible secondary users for reporting are proposed. We also outline a distributed cooperative spectrum sensing algorithm using the properties of coalition formation game and prove that the utility of the proposed game has non-transferable properties. The simulation results show that the proposed schemes reduce the overhead of reporting without compromising the overall detection performance of cooperative spectrum sensing.
Page(s):
431-438
DOI:
DOI not available
Published:
Journal: International Journal of Communication Networks and Information Security, Volume: 13, Issue: 3, Year: 2021
Keywords:
Fusion Center
,
Cognitive Radio Network
,
Cooperative Spectrum Sensing
,
Overhead
,
Reporting energy
,
Reporting time
References:
References are not available for this document.
Citations
Citations are not available for this document.