Abstract
The coexistence of various overlapping wireless applications causes severe inter-network interference to each other and leads to increasingly poor network performance. It motivates researchers to find new solutions for wireless sensor networking. The emergence of CRSN is a consequent result, which attracts growing attentions from both the academia and industry and experiences rapid development during the recent years. But different from traditional cognitive radio networks (CRNs), the integration of CR and WSN poses some new challenges in CRSNs. One of the most critical challenges is to design energy-efficient spectrum resource management solutions for CRSNs by taking the energy consumption and network characteristics of WSNs into consideration. To accelerate the flourish of CRSN applications, researchers have devoted great efforts on tackling this critical and urgent challenge. In this chapter, we provide a comprehensive review on the state-of-the-art research literature, which covers most of existing works in energy-efficient spectrum resource management in CRSNs, including dynamic spectrum access decision, secure cooperative spectrum sensing and spectrum resource allocation.
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References
Z. Liang, S. Feng, D. Zhao, X. Shen, Delay performance analysis for supporting real-time traffic in a cognitive radio sensor network. IEEE Trans. Wirel. Commun. 10(1), 325–335 (2011)
A.O. Bicen, V.C. Gungor, O.B. Akan, Delay-sensitive and multimedia communication in cognitive radio sensor networks. Ad Hoc Netw. 10(5), 816–830 (2012)
S.-C. Lin K.-C. Chen, Improving spectrum efficiency via in-network computations in cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 13(3), 1222–1234 (2014)
P.T.A. Quang, D.-S. Kim, Throughput-aware routing for industrial sensor networks: application to ISA100. 11a. IEEE Trans. Ind. Inf. 10(1), 351–363 (2014)
P. Spachos D. Hantzinakos, Scalable dynamic routing protocol for cognitive radio sensor networks. IEEE Sensors J. 14(7), 2257–2266 (2014)
G.A. Shah, O.B. Akan, Performance analysis of CSMA-based opportunistic medium access protocol in cognitive radio sensor networks. Ad Hoc Netw. 15, 4–13 (2014)
G. Shah, O. Akan, Cognitive adaptive medium access control in cognitive radio sensor networks. IEEE Trans. Veh. Technol. 64(2), 757–767 (2015)
J.A. Han, W.S. Jeon, D.G. Jeong, Energy-efficient channel management scheme for cognitive radio sensor networks. IEEE Trans. Veh. Technol. 60(4), 1905–1910 (2011)
M.C. Oto, O.B. Akan, Energy-efficient packet size optimization for cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 11(4), 1544–1553 (2012)
B. Chai, R. Deng, P. Cheng, J. Chen, Energy-efficient power allocation in cognitive sensor networks: a game theoretic approach, in IEEE Proceedings of GLOBECOM (2012), pp. 416–421
G. Ding, J. Wang, Q. Wu, F. Song, Y. Chen, Spectrum sensing in opportunity-heterogeneous cognitive sensor networks: how to cooperate? IEEE Sensors J. 13(11), 4247–4255 (2013)
S. Maleki, A. Pandharipande, G. Leus, Energy-efficient distributed spectrum sensing for cognitive sensor networks. IEEE Sensors J. 11(3), 565–573 (2011)
J. Ren, Y. Zhang, Q. Ye, K. Yang, K. Zhang, X.S. Shen, Exploiting secure and energy-efficient collaborative spectrum sensing for cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 15(10), 6813–6827 (2016)
G.A. Shah, F. Alagoz, E.A. Fadel, O.B. Akan, A spectrum-aware clustering for efficient multimedia routing in cognitive radio sensor networks. IEEE Trans. Veh. Technol. 63(7), 3369–3380 (2014)
M. Ozger O. Akan, Event-driven spectrum-aware clustering in cognitive radio sensor networks, in IEEE Proceedings of INFOCOM (2013), pp. 1483–1491
R. Sharma D. Rawat, Advances on security threats and countermeasures for cognitive radio networks: a survey. IEEE Commun. Surv. Tutorials 17(2), 1023–1043 (2015)
Y. Cai, Y. Mo, K. Ota, C. Luo, M. Dong, L. Yang, Optimal data fusion of collaborative spectrum sensing under attack in cognitive radio networks. IEEE Netw. 28(1), 17–23 (2014)
Z. Gao, H. Zhu, S. Li, S. Du, X. Li, Security and privacy of collaborative spectrum sensing in cognitive radio networks. IEEE Wirel. Commun. 19(6), 106–112 (2012)
T. Qin, H. Yu, C. Leung, Z. Shen, C. Miao, Towards a trust aware cognitive radio architecture. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(2), 86–95 (2009)
K. Zeng, P. Pawełczak, D. Čabrić, Reputation-based cooperative spectrum sensing with trusted nodes assistance. IEEE Commun. Lett. 14(3), 226–228 (2010)
A.S. Rawat, P. Anand, H. Chen, P.K. Varshney, Collaborative spectrum sensing in the presence of Byzantine attacks in cognitive radio networks, IEEE Trans. Signal Process. 59(2), 774–786 (2011)
R. Chen, J.-M. Park, K. Bian, Robust distributed spectrum sensing in cognitive radio networks, in Proceedings of IEEE INFOCOM (2008)
X. He, H. Dai, P. Ning, HMM-based malicious user detection for robust collaborative spectrum sensing. IEEE J. Sel. Areas Commun. 31(11), 2196–2208 (2013)
J. Wang, J. Yao, Q. Wu, Stealthy-attacker detection with a multidimensional feature vector for collaborative spectrum sensing. IEEE Trans. Veh. Technol. 62(8), 3996–4009 (2013)
X. He, H. Dai, P. Ning, A Byzantine attack defender in cognitive radio networks: the conditional frequency check. IEEE Trans. Wirel. Commun. 12(5), 2512–2523 (2013)
F. Penna, Y. Sun, L. Dolecek, D. Cabric, Detecting and counteracting statistical attacks in cooperative spectrum sensing. IEEE Trans. Signal Process. 60(4), 1806–1822 (2012)
Z. Qin, Q. Li, G.-C. Hsieh, Defending against cooperative attacks in cooperative spectrum sensing. IEEE Trans. Wirel. Commun. 12(6), 2680–2687 (2013)
M. Ghaznavi, A. Jamshidi, A reliable spectrum sensing method in the presence of malicious sensors in distributed cognitive radio network. IEEE Sensors J. 15(3), 1810–1816 (2015)
C. Hyder, B. Grebur, L. Xiao, M. Ellison, ARC: adaptive reputation based clustering against spectrum sensing data falsification attacks. IEEE Trans. Mob. Comput. 13(8), 1707–1719 (2014)
G. Ding, Q. Wu, Y.-D. Yao, J. Wang, Y. Chen, Kernel-based learning for statistical signal processing in cognitive radio networks: theoretical foundations, example applications, and future directions. IEEE Signal Process. Mag. 30(4), 126–136 (2013)
S. Liu, H. Zhu, S. Li, X. Li, C. Chen, X. Guan, An adaptive deviation-tolerant secure scheme for distributed cooperative spectrum sensing, in Proceedings of IEEE GLOBECOM (2012), pp. 603–608
Q. Yan, M. Li, T. Jiang, W. Lou, Y.T. Hou, Vulnerability and protection for distributed consensus-based spectrum sensing in cognitive radio networks, in Proceedings of IEEE INFOCOM (2012), pp. 900–908
H. Tang, F. R. Yu, M. Huang, Z. Li, Distributed consensus-based security mechanisms in cognitive radio mobile ad hoc networks. IET Commun. 6(8), 974–983 (2012)
S. Liu, Y. Chen, W. Trappe, L.J. Greenstein, ALDO: an anomaly detection framework for dynamic spectrum access networks, in Proceedings of IEEE INFOCOM (2009), pp. 675–683
G. Ding, J. Wang, Q. Wu, L. Zhang, Y. Zou, Y.-D. Yao, Y. Chen, Robust spectrum sensing with crowd sensors. IEEE Trans. Commun. 62(9), 3129–3143 (2014)
S. Sodagari, A. Attar, V. Leung, S.G. Bilén, Denial of service attacks in cognitive radio networks through channel eviction triggering, in Proceedings of IEEE GLOBECOM (2010), pp. 1–5
S. Althunibat, V. Sucasas, H. Marques, J. Rodriguez, R. Tafazolli, F. Granelli, On the trade-off between security and energy efficiency in cooperative spectrum sensing for cognitive radio. IEEE Commun. Lett. 17(8), 1564–1567 (2013)
S.A. Mousavifar, C. Leung, Energy efficient collaborative spectrum sensing based on trust management in cognitive radio networks. IEEE Trans. Wirel. Commun. 14(4), 1927–1939 (2015)
S. Althunibat, R. Palacios, F. Granelli, Energy-efficient spectrum sensing in cognitive radio networks by coordinated reduction of the sensing users, in Proceedings of IEEE ICC (2012), pp. 1399–1404
R.-S. Liu, P. Sinha, C.E. Koksal, Joint energy management and resource allocation in rechargeable sensor networks, in IEEE Proceedings of INFOCOM (2010), pp. 1–9
R. Deng, Y. Zhang, S. He, J. Chen, X. Shen, Maximizing network utility of rechargeable sensor networks with spatiotemporally-coupled constraints. IEEE J. Sel. Areas Commun. (2016, to appear). doi:10.1109/JSAC.2016.2520181
S. Chen, P. Sinha, N.B. Shroff, C. Joo, A simple asymptotically optimal joint energy allocation and routing scheme in rechargeable sensor networks. IEEE/ACM Trans. Netw. 22(4), 1325–1336 (2014)
L. Huang, M.J. Neely, Utility optimal scheduling in energy-harvesting networks. IEEE/ACM Trans. Netw. 21(4), 1117–1130 (2013)
Z. Mao, C.E. Koksal, N.B. Shroff, Near optimal power and rate control of multi-hop sensor networks with energy replenishment: basic limitations with finite energy and data storage. IEEE Trans. Autom. Control 57(4), 815–829 (2012)
Y. Zhang, S. He, J. Chen, Y. Sun, X. Shen, Distributed sampling rate control for rechargeable sensor nodes with limited battery capacity. IEEE Trans. Wirel. Commun. 12(6), 3096–3106 (2013)
C. Huang, R. Zhang, S. Cui, Optimal power allocation for outage probability minimization in fading channels with energy harvesting constraints. IEEE Trans. Wirel. Commun. 13(2), 1074–1087 (2014)
J. Ren, Y. Zhang, N. Zhang, D. Zhang, X. Shen, Dynamic channel access to improve energy efficiency in cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 15(5), 3143–3156 (2016)
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Ren, J., Zhang, N., Shen, X. (2018). Spectrum Resource Management for CRSNs. In: Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-60318-6_2
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DOI: https://doi.org/10.1007/978-3-319-60318-6_2
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