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Mag., 49, 160, 10.1109\u002FMCOM.2011.5723815\nA. Zubow, R. Sombrutzki, Adjacent channel interference in IEEE 802.11n, in: Proceedings of the IEEE WCNC Conference, 2012, pp. 1163–1168.\nBany Salameh, 2013, Spectrum bonding and aggregation with guard-band awareness in cognitive radio networks, IEEE Trans. Mobile Comput., 13, 569, 10.1109\u002FTMC.2013.11\nSkordoulis, 2008, IEEE 802.11n MAC frame aggregation mechanisms for next-generation high-throughput WLANs, IEEE Trans. Wireless Commun., 15, 40, 10.1109\u002FMWC.2008.4454703\nL. Deek, E. Garcia-Villegas, E. Belding, S.-J. Lee, K. Almeroth, The impact of channel bonding on 802.11n network management, in: Proceedings of the ACM CoNEXT Conference, 2011.\nDeek, 2013, Intelligent channel bonding in 802.11n WLANs, IEEE Trans. Mobile Comput., 10.1109\u002FTMC.2013.73\nM. 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Kasera, On the impact of MIMO diversity on higher layer performance, in: Proceedings pf the IEEE ICDCS Conference, 2010, pp. 764–773.\nHalperin, 2010, 802.11 with multiple antennas for dummies, ACM SIGCOMM Comput. Commun. Rev., 40, 19, 10.1145\u002F1672308.1672313\nYuan, 2010, Carrier aggregation for LTE-advanced mobile communication systems, IEEE Commun. Mag., 48, 88, 10.1109\u002FMCOM.2010.5402669\nBai, 2012, LTE-advanced modem design: challenges and perspectives, IEEE Commun. Mag., 50, 178, 10.1109\u002FMCOM.2012.6146497\nPedersen, 2011, Carrier aggregation for LTE-advanced: functionality and performance aspects, IEEE Commun. Mag., 49, 89, 10.1109\u002FMCOM.2011.5783991\nI. Macaluso, L. DaSilva, L. Doyle, Learning Nash equilibria in distributed channel selection for frequency-agile radios, in: Workshop on Artificial Intelligence for Telecommunications and Sensor Networks, 2012.\nY. Xiao, T. Forde, I. Macaluso, L. DaSilva, L. Doyle, Spatial spectrum sharing-based carrier aggregation for heterogeneous networks, in: Proceedings of the IEEE GLOBECOM Conference, 2012, pp. 2591–2596.\nY. Xiao, C. Yuen, P. Di Francesco, L. DaSilva, Dynamic spectrum scheduling for carrier aggregation: a game theoretic approach, in: Proceedings of the IEEE ICC Conference, 2013, pp. 2672–2676.\nC. Wu, K. Chowdhury, M. Di Felice, W. Meleis, Spectrum management of cognitive radio using multi-agent reinforcement learning, in: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems: Industry Track, 2010, pp. 1705–1712.\nD. Leith, P. Clifford, Convergence of distributed learning algorithms for optimal wireless channel allocation, in: Proceedings of the IEEE Conference on Decision and Control, 2006, pp. 2980–2985.\nMartello, 1990\nI. Trigui, M. Siala, H. 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Yuan, Performance analysis of chunk-based resource allocation in wireless OFDMA systems, in: IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2012, pp. 90–94.\nO. Yu, E. Saric, A. Li, Dynamic control of open spectrum management, in: Proceedings of the IEEE WCNC Conference, 2007, pp. 127–132.\nL. Yang, B.Y. Zhao, H. Zheng, The spaces between us: Setting and maintaining boundaries in wireless spectrum access, in: Proceedings of the ACM MobiCom Conference, 2010, pp. 37–48.\nKall, 1994\nH. Bany Salameh, M. Krunz, D. Manzi, An efficient guard-band-aware multi-channel spectrum sharing mechanism for dynamic access networks, in: Proceedings of the IEEE GLOBECOM Conference, 2011, pp. 1–5.\nG.S. Uyanik, M.J. Abdel-Rahman, M. 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2002, A survey on sensor networks, IEEE Commun. Mag., 40, 102, 10.1109\u002FMCOM.2002.1024422\nYounis, 2008, Strategies and techniques for node placement in wireless sensor networks: a survey, Ad Hoc Netw. J., 6, 621, 10.1016\u002Fj.adhoc.2007.05.003\nAl-Turjman, 2013, Quantifying connectivity in wireless sensor networks with grid-based deployments, J. Netw. Comput. Appl., 36, 368, 10.1016\u002Fj.jnca.2012.05.006\nWang, 2011, On network connectivity of wireless sensor networks for sandstorm monitoring, Comput. Netw. J., 55, 1150, 10.1016\u002Fj.comnet.2010.11.008\nAkyildiz, 2006, Wireless underground sensor networks: research challenges, Ad Hoc Netw. J., 4, 669, 10.1016\u002Fj.adhoc.2006.04.003\nAkyildiz, 2005, Underwater acoustic sensor networks: research challenges, Ad Hoc Netw. J., 3, 257, 10.1016\u002Fj.adhoc.2005.01.004\nHashim, 2006, Measurements and modeling of wind influence on radiowave propagation through vegetation”, IEEE Trans. Wireless Commun. 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ACM Conf. on Embedded Networked Sensor, San Diego, USA, 2005, pp. 51–63.\nSon, 2006, A design and implementation of forest-fires surveillance system based on wireless sensor networks for South Korea mountains, Int. J. Comput. Sci. Netw. Secur., 6, 124\nF. Al-Turjman, H. Hassanein, M. Ibnkahla, Connectivity optimization with realistic lifetime constraints for node placement in environmental monitoring, in: Proc. IEEE Conference on Local Computer Networks (LCN), Zürich, Switzerland, 2009, pp. 617–624.\nErman, 2008, Enabling mobility in heterogeneous wireless sensor networks cooperating with UAVs for mission-critical management, IEEE Trans. Wireless Commun. J., 15, 38, 10.1109\u002FMWC.2008.4749746\nBellavista, 2009, Mobility-aware middleware for self-organizing heterogeneous networks with multihop multipath connectivity, IEEE Trans. Wireless Commun. J., 15, 22, 10.1109\u002FMWC.2008.4749744\nAkkaya, 2005, A survey on routing protocols for wireless sensor networks, J. 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IEEE Global Telecommunications Conference (GLOBECOM), San Francisco, US, 2003, pp. 377–381.\nA. Azad, A. Chockalingam, Mobile base stations placement and energy aware routing in wireless sensor networks, in: Proc. IEEE Wireless Communications and Networking Conference (WCNC), Las Vegas, NV, 2006, pp. 264–269.\nM. Ishizuka, M. Aida, Performance study of node placement in sensor networks, in: Proc. International Conference on Distributed Computing Systems Workshops (ICDCS), Tokyo, Japan, 2004, pp. 598–603.\nB. Hao, H. Tang, G. Xue, Fault-tolerant relay node placement in wireless sensor networks: formulation and approximation, in: Proc. Workshop on High Performance Switching and Routing (HPSR), Phoenix, USA, 2004, pp. 246–250.\nAkkaya, 2005, Sink repositioning for enhanced performance in wireless sensor networks, Comput. Netw., 49, 512, 10.1016\u002Fj.comnet.2005.01.014\nAl-Turjman, 2013, Efficient deployment of wireless sensor networks targeting environment monitoring applications, Comput. Commun. J., 36, 135, 10.1016\u002Fj.comcom.2012.08.021\nRappaport, 2002\nRodrigues, 2007, Channel propagation model for mobile network project in densely arborous environments, J. Microwaves Optoelectron., 6, 189\nTan, 2003, Power efficient data gathering and aggregation in wireless sensor networks, ACM SIGMOD Rec., 32, 66, 10.1145\u002F959060.959072\nTan, 2011, Computing localized power-efficient data aggregation trees for sensor networks, IEEE Trans. Parallel Distrib. Syst., 22, 489, 10.1109\u002FTPDS.2010.68\nHussain, 2007, An energy efficient spanning tree based multi-hop routing in wireless sensor networks, 4383\nK. Kalpakis, K. Dasgupta, P. Namjoshi, Maximum lifetime data gathering and aggregation in wireless sensor networks, in: Proceedings of the 2002 IEEE International Conference on Networking (ICN’02), August 2002, pp. 685–696.",{"EN":329},"Towards prolonged lifetime for deployed WSNs in outdoor environment monitoring",{"VOID":331},"10.1016\u002Fj.adhoc.2014.08.017","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1570870514001905",[334,351,366],{"id":335,"sortIndex":19,"researcher":18,"roles":336,"affiliations":337,"properties":348},"fb320da2-be94-4bf5-a1fe-5e77fdbd8c71",[125],[338],{"id":18,"sortIndex":19,"affiliation":339,"properties":18},{"id":340,"createTime":341,"updateTime":342,"relativeEntities":343,"slug":344,"properties":345,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"14dad12e-940a-496d-bb40-5f57a6c6b5e7","2024-01-14T12:25:07.011+00:00","2024-12-31T21:45:20.527+00:00",[],"School-of-Engineering-University-of-Guelph-Guelph-Ontario-N1G-2W1-Canada",{"title":346},{"VI":347},"School of Engineering, University of Guelph, Guelph, Ontario N1G 2W1 Canada",{"title":349},{"VI":350},"Fadi M. 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Gong, D. Akhmetov, R. Want, Shiwen Mao, Directional CSMA\u002FCA protocol with spatial reuse for mmWave wireless networks, in: Proceedings of IEEE Global Communication Conference (Globecom), 2010.\nChen, 2009, Spatial temporal relation-based energy-efficient reliable routing protocol in wireless sensor networks, Int. J. Sensor Netw. (IJSN), 5, 129, 10.1504\u002FIJSNET.2009.026361\nGuha, 1996, Approximation algorithms for connected dominating sets, Algorithmica, 20, 374, 10.1007\u002FPL00009201\nCheng, 2003, Polynomial-time approximation scheme for minimum connected dominating set in ad hoc wireless networks, Networks, 42, 10.1002\u002Fnet.10097\nWan, 2004, Distributed construction of connected dominating set in wireless ad hoc networks, Mobile Netw. Appl. Discr. Algorithm. Methods Mobile Comput. Commun., 9, 141\nFunke, 2006, A simple improved distributed algorithm for minimum CDS in unit disk graphs, ACM Trans. Sensor Netw. (TOSN), 2, 444, 10.1145\u002F1167935.1167941\nGao, 2009, Analysis on theoretical bounds for approximating dominating set problems, Discr. Math. Algorithm. Appl. (DMAA), 1, 71, 10.1142\u002FS1793830909000105\nP.-J. Wan, L. Wang, F. Yao, Two-phased approximation algorithms for minimum CDS in wireless ad hoc networks, in: Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems (ICDCS), 2008, pp. 337–344.\nM. Li, P.-J. Wan, F. Yao, Tighter approximation bounds for minimum CDS in wireless ad hoc networks, in: Proceedings of the 20th International Symposium on Algorithms and Computation (ISAAC), 2009, pp. 699–709.\nWu, 2006, Minimum connected dominating sets and maximal independent sets in unit disk graphs, Theor. Comput. Sci. (TCS), 352, 1, 10.1016\u002Fj.tcs.2005.08.037\nThai, 2008, On construction of virtual backbone in wireless ad hoc networks with unidirectional links, IEEE Trans. Mobile Comput. (TMC), 7, 1098, 10.1109\u002FTMC.2008.22\nThai, 2007, Connected dominating sets in wireless networks with different transmission ranges, IEEE Trans. Mobile Comput. (TMC), 6, 721, 10.1109\u002FTMC.2007.1034\nL. Ding, X. Gao, W. Wu, W. Lee, X. Zhu, D.-Z. Du, Distributed construction of connected dominating sets with minimum routing cost in wireless networks, in: 2010 IEEE 30th International Conference on Distributed Computing Systems (ICDCS), 2010, pp. 448–457.\nDing, 2011, An exact algorithm for minimum CDS with shortest path constraint in wireless networks, Optim. Lett., 5, 297, 10.1007\u002Fs11590-010-0208-8\nKim, 2009, Constructing minimum connected dominating sets with bounded diameters in wireless networks, IEEE Trans. Parallel Distrib. Syst. (TPDS), 20, 147, 10.1109\u002FTPDS.2008.74\nDing, 2011, Efficient algorithms for topology control problem with routing cost constraints in wireless networks, IEEE Trans. Parallel Distrib. Syst. (TPDS), 22, 1601, 10.1109\u002FTPDS.2011.30\nDu, 2013, CDS-based virtual backbone construction with guaranteed routing cost in wireless sensor networks, IEEE Trans. Parallel Distrib. Syst. (TPDS), 24, 652, 10.1109\u002FTPDS.2012.177\nA. Das, C. Mandal, C. Reade, M. Aasawat, An improved greedy construction of minimum connected dominating sets in wireless networks, in: Wireless Communications and Networking Conference (WCNC), 2011, pp. 790–795.\nGupta, 2000, The capacity of wireless networks, IEEE Trans. Inf. Theor. (TIT), 46, 388, 10.1109\u002F18.825799\nO. Oyman, S. Sandhu, A shannon-theoretic perspective on fading multihop networks, in: Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006, pp. 525–530.\nD. Couto, S.J. Douglas, D. Aguayo, J. Bicket, R. Morris, A high-throughput path metric for multi-hop wireless routing, in: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (MobiCom), 2003, pp. 134–146.\nR. Draves, J. Padhye, B. Zill, Routing in multi-radio, multi-hop wireless mesh networks, in: Proceedings of the 10th Annual International Conference on Mobile Computing and Networking (MobiCom), 2004, pp. 114–128.\nCheng, 2008, Relay sensor placement in wireless sensor networks, Wireless Netw., 14, 347, 10.1007\u002Fs11276-006-0724-8\nChen, 2008, Distributed spectrum-efficient routing algorithms in wireless networks, IEEE Trans. Wireless Commun. (TWC), 7\nSaad, 2009, Optimal spectrum-efficient routing in multihop wireless networks, IEEE Trans. Wirless Commun. (TWC), 8, 5822, 10.1109\u002FTWC.2009.12.090546\nSikora, 2006, Bandwidth- and power-efficient routing in linear wireless networks, IEEE Trans. Inf. Theor. (TIT), 52, 2624, 10.1109\u002FTIT.2006.874520\nGastpar, 2005, On the capacity of large gaussian relay networks, IEEE Trans. Inf. Theor. (TIT), 51, 765, 10.1109\u002FTIT.2004.842566\nRappaport, 1996\nHaenggi, 2005, Routing in ad hoc networks: a case for long hops, IEEE Commun. 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Commun., 64, 490, 10.1109\u002FTCOMM.2015.2505281\nAlthunibat, 2013, Optimizing the k-out-of-n rule for cooperative spectrum sensing in cognitive radio networks, 1607\nZheng, 2017, Sensing transmission tradeoff over penalty for miss detection in cognitive radio network, Wirel. Pers. Commun., 92, 1089, 10.1007\u002Fs11277-016-3594-0\nLiu, 2015, Optimization of sensing time and cooperative user allocation for OR-rule cooperative spectrum sensing in cognitive radio network, J. Cent. South Uni., 22, 2646, 10.1007\u002Fs11771-015-2795-0\nDang, 2015, An analytical multiobjective optimization of joint spectrum sensing and power control in cognitive radio networks, 39\nLee, 2008, Optimal spectrum sensing framework for cognitive radio networks, IEEE Trans. Wirel. Commun., 7, 3845, 10.1109\u002FT-WC.2008.070391\nZhang, 2012, Joint iterative algorithm for optimal cooperative spectrum sensing in cognitive radio networks, Comput. 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Fortuna, M. Mohorcic, Trends in the development of communication networks: cognitive networks, Computer Networks, 2009.\nA.K. Sadek, K. Liu, A. Ephremides, Collaborative multiple-access protocols for wireless networks, ICC 2006, 2006.\nJ. Garcna-Vidal, M. Guerrero-Zapata, J. Morillo, D. Fust, A protocol stack for cooperative wireless networks, in: Wireless Systems and Mobility in Next Generation Internet, Lecture Notes in Computer Science (LNCS), vol. 4396, 2007, pp 62–73.\nPelusi, 2006, Opportunistic networking: data forwarding in disconnected mobile ad hoc networks, IEEE Communications Magazine, 44, 134, 10.1109\u002FMCOM.2006.248176\nOwl-s: semantic markup standard for web services, \u003Chttp:\u002F\u002Fwww.w3.org\u002Fsubmission\u002Fowl-s\u002F>.",{"EN":808},"A negotiation-based networking methodology to enable cooperation across heterogeneous co-located 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Surv. Tutor., 18, 824, 10.1109\u002FCOMST.2014.2362796\nWei, 2018, A fair multi-channel assignment algorithm with practical implementation in distributed cognitive radio networks, IEEE Access, 6, 14255, 10.1109\u002FACCESS.2018.2808479\nKhan, 2017, Cognitive-radio-based internet of things: Applications, architectures, spectrum related functionalities, and future research directions, IEEE Wirel. Commun., 24, 17, 10.1109\u002FMWC.2017.1600404\nTemene, 2022, A survey on mobility in wireless sensor networks, Ad Hoc Netw., 125, 10.1016\u002Fj.adhoc.2021.102726\nLi, 2018, 5G Internet of Things: A survey, J. Ind. Inf. Integr., 10, 1\nAslam, 2018, Energy and spectral efficient cognitive radio sensor networks for Internet of Things, IEEE Internet Things J., 5, 3220, 10.1109\u002FJIOT.2018.2837354\nHu, 2018, Full spectrum sharing in cognitive radio networks toward 5G: A survey, IEEE Access, 6, 15754, 10.1109\u002FACCESS.2018.2802450\nZhang, 2020, MIMO spectrum sensing for cognitive radio-based internet of things, IEEE Internet Things J., 7, 8874, 10.1109\u002FJIOT.2020.2997707\nAwin, 2019, Technical issues on cognitive radio-based Internet of Things systems: A survey, IEEE Access, 7, 97887, 10.1109\u002FACCESS.2019.2929915\nSudevalayam, 2010, Energy harvesting sensor nodes: Survey and implications, IEEE Commun. Surv. Tutor., 13, 443, 10.1109\u002FSURV.2011.060710.00094\nJagannath, 2019, Machine learning for wireless communications in the Internet of Things: A comprehensive survey, Ad Hoc Netw., 93, 10.1016\u002Fj.adhoc.2019.101913\nAmini, 2020, Availability-reliability-stability trade-offs in ultra-reliable energy-harvesting cognitive radio IoT networks, IEEE Access, 8, 82890, 10.1109\u002FACCESS.2020.2991861\nAmini, 2020, GoodPut, collision probability and network stability of energy-harvesting cognitive-radio IoT networks, IEEE Trans. Cogn. Commun. Netw., 6, 1283, 10.1109\u002FTCCN.2020.2982874\nYan, 2019, Energy-efficient cooperative strategy in RF energy harvesting cognitive radio network, Chin. J. Electron., 28, 651, 10.1049\u002Fcje.2019.03.002\nZheng, 2016, Harvesting-throughput tradeoff for CDMA-based underlay cognitive radio networks with wireless energy harvesting, IEEE Syst. J., 12, 2395, 10.1109\u002FJSYST.2016.2636278\nShahini, 2018, Joint spectrum allocation and energy harvesting optimization in green powered heterogeneous cognitive radio networks, Comput. Commun., 127, 36, 10.1016\u002Fj.comcom.2018.05.011\nNing, 2020, Resource allocation in multi-user cognitive radio network with stackelberg game, IEEE Access, 8, 58260, 10.1109\u002FACCESS.2020.2981556\nKim, 2021, Bargaining game based time scheduling scheme for ambient backscatter communications, IEEE Access, 9, 155526, 10.1109\u002FACCESS.2021.3128207\nWang, 2019, Market-based model in CR-IoT: A Q-probabilistic multi-agent reinforcement learning approach, IEEE Trans. Cogn. Commun. Netw., 6, 179, 10.1109\u002FTCCN.2019.2950242\nQian, 2020, Multi-operator spectrum sharing for massive IoT coexisting in 5G\u002FB5G wireless networks, IEEE J. Sel. Areas Commun., 39, 881, 10.1109\u002FJSAC.2020.3018803\nXu, 2019, Resource allocation in cognitive radio wireless sensor networks with energy harvesting, Sensors, 19, 5115, 10.3390\u002Fs19235115\nWu, 2020, Spectrum sharing with vehicular communication in cognitive small-cell networks, Int. J. Antennas Propag., 2020, 10.1155\u002F2020\u002F6897646\nSalem, 2015, Profit of price with supermodular game for spectrum sharing in cognitive radio using genetic algorithm, Wirel. Pers. Commun., 82, 2601, 10.1007\u002Fs11277-015-2367-5\nAi, 2016, Fundamental properties with respect to the completeness of intuitionistic fuzzy partially ordered set, IEEE Trans. Fuzzy Syst., 25, 1741, 10.1109\u002FTFUZZ.2016.2633369\nTong, 2016, Joint resource allocation with energy harvesting base stations in two adjacent cells, 1\nNguyen, 2017, Joint beamforming and antenna selection for sum rate maximization in cognitive radio networks, IEEE Commun. Lett., 21, 1369, 10.1109\u002FLCOMM.2017.2679186\nVan Nguyen, 2022, Game theory-based optimal cooperative path planning for multiple UAVs, IEEE Access, 10, 108034, 10.1109\u002FACCESS.2022.3213035\nRehman, 2016, Performance of cognitive stop-and-wait hybrid automatic repeat request in the face of imperfect sensing, IEEE Access, 4, 5489, 10.1109\u002FACCESS.2016.2593421\nMohammadian, 2021, Data-driven classifier for extreme outage prediction based on Bayes decision theory, IEEE Trans. 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