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Yongmin Zhang, Shibo He, Jiming Chen (2013)
Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks2013 IEEE International Conference on Sensing, Communications and Networking (SECON)
Yi Qin, Jiaxiao Zheng, Xinbing Wang, Han-wen Luo, Hui Yu, Xiaohua Tian, Xiaoying Gan (2014)
Opportunistic Scheduling and Channel Allocation in MC-MR Cognitive Radio NetworksIEEE Transactions on Vehicular Technology, 63
G. Shah, Fatih Alagöz, Etimad Fadel, Ö. Akan (2014)
A Spectrum-Aware Clustering for Efficient Multimedia Routing in Cognitive Radio Sensor NetworksIEEE Transactions on Vehicular Technology, 63
Ruilong Deng, Jiming Chen, C. Yuen, Peng Cheng, Youxian Sun (2012)
Energy-Efficient Cooperative Spectrum Sensing by Optimal Scheduling in Sensor-Aided Cognitive Radio NetworksIEEE Transactions on Vehicular Technology, 61
Sungsoo Park, D. Hong (2013)
Optimal Spectrum Access for Energy Harvesting Cognitive Radio NetworksIEEE Transactions on Wireless Communications, 12
Longbo Huang, M. Neely (2010)
Utility optimal scheduling in processing networksPerform. Evaluation, 68
Mustafa Ozger, Etimad Fadel, Ö. Akan (2016)
Event-to-Sink Spectrum-Aware Clustering in Mobile Cognitive Radio Sensor NetworksIEEE Transactions on Mobile Computing, 15
Jianchao Zheng, Yueming Cai, N. Lu, Yuhua Xu, Xuemin Shen (2015)
Stochastic Game-Theoretic Spectrum Access in Distributed and Dynamic EnvironmentIEEE Transactions on Vehicular Technology, 64
(2010)
Stochastic Network Optimization with Application to Communication and Queueing Systems
Hongjian Sun, A. Nallanathan, Chengxiang Wang, Yunfei Chen (2013)
Wideband spectrum sensing for cognitive radio networks: a surveyIEEE Wireless Communications, 20
Rahul Urgaonkar, M. Neely (2008)
Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio NetworksIEEE INFOCOM 2008 - The 27th Conference on Computer Communications
Weiqiang Xu, Yushu Zhang, Qingjiang Shi, Xiaodong Wang (2014)
Energy Management and Cross Layer Optimization for Wireless Sensor Network Powered by Heterogeneous Energy SourcesIEEE Transactions on Wireless Communications, 14
Ren-Shiou Liu, P. Sinha, C. Koksal (2010)
Joint Energy Management and Resource Allocation in Rechargeable Sensor Networks2010 Proceedings IEEE INFOCOM
Ju Ren, Yaoxue Zhang, Ruilong Deng, Ning Zhang, Deyu Zhang, X. Shen (2019)
Joint Channel Access and Sampling Rate Control in Energy Harvesting Cognitive Radio Sensor NetworksIEEE Transactions on Emerging Topics in Computing, 7
Stephen Boyd, L. Vandenberghe (2005)
Convex OptimizationJournal of the American Statistical Association, 100
Ning Zhang, Hao Liang, Nan Cheng, Yujie Tang, J. Mark, Xuemin Shen (2014)
Dynamic Spectrum Access in Multi-Channel Cognitive Radio NetworksIEEE Journal on Selected Areas in Communications, 32
Ying Cui, V. Lau, Rui Wang, Huang Huang, Shunqing Zhang (2011)
A Survey on Delay-Aware Resource Control for Wireless Systems—Large Deviation Theory, Stochastic Lyapunov Drift, and Distributed Stochastic LearningIEEE Transactions on Information Theory, 58
Deyu Zhang, Zhigang Chen, Ju Ren, Ning Zhang, M. Awad, Haibo Zhou, X. Shen (2016)
Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor NetworkIEEE Transactions on Vehicular Technology, 66
Ruilong Deng, Yongmin Zhang, Shibo He, Jiming Chen, Xuemin Shen (2016)
Maximizing Network Utility of Rechargeable Sensor Networks With Spatiotemporally Coupled ConstraintsIEEE Journal on Selected Areas in Communications, 34
Yongmin Zhang, Shibo He, Jiming Chen, Youxian Sun, Xuemin Shen (2013)
Distributed Sampling Rate Control for Rechargeable Sensor Nodes with Limited Battery CapacityIEEE Transactions on Wireless Communications, 12
Hongjuan Li, Xiaoshuang Xing, Junda Zhu, Xiuzhen Cheng, Keqiu Li, R. Bie, Tao Jing (2013)
Utility-Based Cooperative Spectrum Sensing Scheduling in Cognitive Radio NetworksIEEE Transactions on Vehicular Technology, 66
Longbo Huang, M. Neely (2013)
Utility optimal scheduling in energy-harvesting networksIEEE/ACM Trans. Netw., 21
[In this chapter, we develop an aggregate network utility optimization framework for energy and spectrum management in energy and spectrum harvesting sensor networks (ESHSNs). The framework captures three stochastic processes: energy harvesting dynamics, inaccuracy of channel occupancy information, and channel fading, and does not require a priori statistics of these processes. Based on the framework, we propose an online algorithm to balance energy consumption and energy harvesting, and optimize the spectrum utilization while considering PU protection. Performance analysis shows that the proposed algorithm achieves a close-to-optimal network utility while guaranteeing network stability. Extensive simulations demonstrate the effectiveness of the proposed algorithm and the impact of network parameters on its performance.]
Published: Mar 9, 2017
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