Spectrum Sensing and Access in Heterogeneous SHSNs

In this chapter, we investigate the spectrum sensing and access of a heterogeneous spectrum harvesting sensor network (HSHSN) which consists of EH-enabled spectrum sensors and battery-powered data sensors. The former detects the availability of licensed channels, while the latter transmits sensed data to the sink over the available channels. Two algorithms that operate in tandem are proposed to achieve the sustainability of spectrum sensors and conserve energy of data sensors, while the EH dynamics and PU protections are considered. Extensive simulation results are given to validate the effectiveness of the proposed algorithms.

[1]  Lang Tong,et al.  Asymptotically Efficient Multichannel Estimation for Opportunistic Spectrum Access , 2012, IEEE Transactions on Signal Processing.

[2]  M. Alouini,et al.  Optimal power allocation of a single transmitter-multiple receivers channel in a cognitive sensor network , 2012, 2012 International Conference on Wireless Communications in Underground and Confined Areas.

[3]  Yiyang Pei,et al.  Energy-Efficient Design of Sequential Channel Sensing in Cognitive Radio Networks: Optimal Sensing Strategy, Power Allocation, and Sensing Order , 2011, IEEE Journal on Selected Areas in Communications.

[4]  Javad Musevi Niya,et al.  RF-Powered Green Cognitive Radio Networks: Architecture and Performance Analysis , 2016, IEEE Commun. Lett..

[5]  Zheng Wang,et al.  Distributed Consensus-Based Weight Design for Cooperative Spectrum Sensing , 2015, IEEE Transactions on Parallel and Distributed Systems.

[6]  Hai Jiang,et al.  Energy Detection for Spectrum Sensing in Cognitive Radio , 2014, SpringerBriefs in Computer Science.

[7]  R. Rubinstein.  The Cross-Entropy Method for Combinatorial and Continuous Optimization , 1999 .

[8]  Dirk P. Kroese,et al.  Convergence properties of the cross-entropy method for discrete optimization , 2007, Oper. Res. Lett..

[9]  Hao Liang,et al.  Dynamic Spectrum Access in Multi-Channel Cognitive Radio Networks , 2014, IEEE Journal on Selected Areas in Communications.

[10]  Zhigang Chen,et al.  Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network , 2016, IEEE Transactions on Vehicular Technology.

[11]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[12]  C. Floudas,et al.  A global optimization algorithm (GOP) for certain classes of nonconvex NLPs—I. Theory , 1990 .

[13]  Xuedong Liang,et al.  Dynamic Spectrum Allocation in Wireless Cognitive Sensor Networks: Improving Fairness and Energy Efficiency , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[14]  Mérouane Debbah,et al.  Green Cognitive Relaying: Opportunistically Switching Between Data Transmission and Energy Harvesting , 2016, IEEE Journal on Selected Areas in Communications.

[15]  Alagan Anpalagan,et al.  Energy-Efficient Cognitive Radio Sensor Networks: Parametric and Convex Transformations , 2013, Sensors.

[16]  Kang G. Shin,et al.  Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks , 2008, IEEE Transactions on Mobile Computing.

[17]  Yuefeng Ji,et al.  A Dynamic Spectrum Access Strategy Based on Real-Time Usability in Cognitive Radio Sensor Networks , 2011, 2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks.

[18]  Kwok Hung Li,et al.  Dynamic Cooperative Sensing–Access Policy for Energy-Harvesting Cognitive Radio Systems , 2016, IEEE Transactions on Vehicular Technology.

[19]  Shaoqian Li,et al.  Optimization of Cooperative Spectrum Sensing in Multiple-Channel Cognitive Radio Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[20]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Trans. Wirel. Commun..

[21]  Jiming Chen,et al.  Distributed Sampling Rate Control for Rechargeable Sensor Nodes with Limited Battery Capacity , 2013, IEEE Transactions on Wireless Communications.

[22]  Sarma B. K. Vrudhula,et al.  Joint Optimization of Transmit Power-Time and Bit Energy Efficiency in CDMA Wireless Sensor Networks , 2006, IEEE Transactions on Wireless Communications.

[23]  Jiming Chen,et al.  Energy-Efficient Cooperative Spectrum Sensing by Optimal Scheduling in Sensor-Aided Cognitive Radio Networks , 2012, IEEE Transactions on Vehicular Technology.

[24]  Kathrin Klamroth,et al.  Biconvex sets and optimization with biconvex functions: a survey and extensions , 2007, Math. Methods Oper. Res..