Energy-Efficient Cooperative Spectrum Sensing Scheme Based on Spatial Correlation for Cognitive Internet of Things

Due to the negative impact from spatial correlation, spatially correlated cognitive radio (CR) based devices participating in cooperative spectrum sensing may be harmful to the detection performance. In this paper, we propose an energy-efficient cooperative spectrum sensing scheme based on spatial correlation for cognitive Internet of Things (CIoT). To mitigate the communication overhead and ensure sufficient sensing accuracy, the CR-based devices (CRDs) can be grouped into several clusters. The member nodes undertake cooperative spectrum sensing tasks in turn, and send the local test statistic to their cluster head nearby. Then, by exploiting the spatial correlation of the members, the cluster head combines the sensing results and makes use of likelihood ratio test to obtain the cluster decision. After receiving the decisions from all clusters, the fusion center employs hard fusion scheme to make the final decision about spectrum occupancy. The simulation results show that our scheme not only provides the better sensing performance, but also improve the energy efficiency.

[1]  Gyanendra Prasad Joshi,et al.  Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends , 2013, Sensors.

[2]  Özgür B. Akan,et al.  Spectrum-aware cluster-based routing for cognitive radio sensor networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[3]  Esam Abdel-Raheem,et al.  Designing an Optimal Energy Efficient Cluster-Based Spectrum Sensing for Cognitive Radio Networks , 2016, IEEE Communications Letters.

[4]  C. H. Lim.  Adaptive energy detection for spectrum sensing in unknown white Gaussian noise , 2012, IET Commun..

[5]  Ghaith Hattab,et al.  Cooperative Spectrum Sensing With Heterogeneous Devices: Hard Combining Versus Soft Combining , 2018, IEEE Systems Journal.

[6]  Hai Jiang,et al.  Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[7]  Zhenyu Zhou,et al.  Multi-Scale Dynamic Allocation of Licensed and Unlicensed Spectrum in Software-Defined HetNets , 2019, IEEE Network.

[8]  D. Manimegalai,et al.  Enhanced Cooperative Spectrum Sensing in CRAHNs Using Distributed Dynamic Load-Balanced Clustering Scheme , 2017, Wirel. Pers. Commun..

[9]  Leila Musavian,et al.  How to Increase Energy Efficiency in Cognitive Radio Networks , 2016, IEEE Transactions on Communications.

[10]  Mohamed Ibnkahla,et al.  Energy and Spectral Efficient Cognitive Radio Sensor Networks for Internet of Things , 2018, IEEE Internet of Things Journal.

[11]  Ian F. Akyildiz,et al.  Correlation-Aware User Selection for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Networks , 2012, IEEE Journal on Selected Areas in Communications.

[12]  Symeon Chatzinotas,et al.  To AND or To OR: On Energy-Efficient Distributed Spectrum Sensing With Combined Censoring and Sleeping , 2015, IEEE Transactions on Wireless Communications.

[13]  Mohamed-Slim Alouini,et al.  Soft Cooperative Spectrum Sensing Performance Under Imperfect and Non Identical Reporting Channels , 2015, IEEE Communications Letters.

[14]  Miguel López-Benítez,et al.  Improved energy detection spectrum sensing for cognitive radio , 2012, IET Commun..

[15]  Amir Ghasemi,et al.  Asymptotic performance of collaborative spectrum sensing under correlated log-normal shadowing , 2007, IEEE Communications Letters.

[16]  Teng Joon Lim,et al.  Cooperative Spectrum Sensing in Cognitive Radios With Incomplete Likelihood Functions , 2010, IEEE Transactions on Signal Processing.

[17]  H. Vincent Poor,et al.  Toward efficient radio spectrum utilization: user cooperation in cognitive radio networking , 2012, IEEE Network.

[18]  Naima Kaabouch,et al.  Matched filter detection with dynamic threshold for cognitive radio networks , 2015, 2015 International Conference on Wireless Networks and Mobile Communications (WINCOM).

[19]  S Maleki,et al.  Energy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks , 2011, IEEE Sensors Journal.

[20]  H. Mohamad,et al.  A weighted hard combination scheme for cooperative spectrum sensing in cognitive radio sensor networks , 2015, 2015 IEEE 12th Malaysia International Conference on Communications (MICC).

[21]  Yiyang Pei,et al.  Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[22]  Ying Wang,et al.  Optimization of Cluster-Based Cooperative Spectrum Sensing Scheme in Cognitive Radio Networks with Soft Data Fusion , 2014, Wirel. Pers. Commun..

[23]  Ranjan K. Mallik,et al.  Cooperative Spectrum Sensing in Multiple Antenna Based Cognitive Radio Network Using an Improved Energy Detector , 2012, IEEE Communications Letters.

[24]  Michele Sanna,et al.  Optimization of Non-Convex Multiband Cooperative Sensing With Genetic Algorithms , 2011, IEEE Journal of Selected Topics in Signal Processing.

[25]  Jun Cai,et al.  Effects of Correlated Shadowing on Soft Decision Fusion in Cooperative Spectrum Sensing , 2010, 2010 INFOCOM IEEE Conference on Computer Communications Workshops.

[26]  Petri Mähönen,et al.  Capacity-Aware Cooperative Spectrum Sensing Based on Noise Power Estimation , 2015, IEEE Transactions on Communications.

[27]  Tamer Khattab,et al.  Distributed spectrum sensing of correlated observations in cognitive radio networks , 2013, 2013 7th IEEE GCC Conference and Exhibition (GCC).

[28]  Qihui Wu,et al.  Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing , 2013, IEEE Transactions on Wireless Communications.

[29]  Walaa Hamouda,et al.  Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications , 2017, IEEE Communications Surveys & Tutorials.

[30]  Fabrizio Granelli,et al.  Cooperative spectrum sensing for cognitive radio networks under limited time constraints , 2014, Comput. Commun..

[31]  Juan Zhou,et al.  Cooperative Spectrum Sensing Scheme with Hard Decision Based on Location Information in Cognitive Radio Networks , 2013, Wirel. Pers. Commun..

[32]  Ghassane Aniba,et al.  Equal Gain Combining for Cooperative Spectrum Sensing in Cognitive Radio Networks , 2014, IEEE Transactions on Wireless Communications.