|
[1] L. Atzori, A. Iera, and G. Morabito. The internet of things: A survey. Computer networks, 54(15):2787–2805, 2010. [2] A. Whitmore, A. Agarwal, and L. Da Xu. The internet of things-a survey of topics and trends. Information Systems Frontiers, 17(2):261–274, 2015. [3] S. Priya and D. J. Inman. Energy Harvesting Technologies, volume 21. Springer, 2009. [4] U. Varshney. Multicast over wireless networks. Communications of the ACM, 45(12):31–37, 2002. [5] 3GPP TS 26.346 V12.0.0 3rd Generation Partnership Project. Technical specification group services and system aspects: Multimedia broadcast/multicast service (mbms) protocols and codecs. December 2013. [6] IETF RFC 6330. Raptorq forward error correction scheme for object delivery. 2011. [7] 3GPP TR 26.848 V1.0.0 3rd Generation Partnership Project. Technical specification group services and system aspects: Multimedia broadcast/multicast service (mbms) enhanced mbms operation. March 2014. [8] 3GPP TR 26.849 3rd Generation Partnership Project. Technical specification group services and system aspects: Mbms improvements mbms operation on demand. March 2014. [9] Y. Liang, C. Chou, and H. Wei. Multi-group wireless multicast broadcast services using adaptive modulation and coding: Modeling and analysis. In 2010 IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), pages 1–5, May 2010. [10] F.-Y. Tsuo, J.-P. Huang, C.-H. Ko, and H.-Y. Wei. Incentive compatible configuration for wireless multicast: A game theoretic approach. IEEE Transactions on Vehicular Technology, 60(7):3520–3525, Sept 2011. [11] C.-Y. Wang, Y. Chen, H.-Y. Wei, and K. J. R. Liu. Scalable video multicasting: A stochastic game approach with optimal pricing. IEEE Transactions on Wireless Communications, 14(5):2353–2367, May 2015. [12] W. Tu. Efficient resource utilization for multi-flow wireless multicasting transmissions. IEEE Journal on Selected Areas in Communications, 30(7):1246 –1258, August 2012. [13] K. Jain, J. Padhye, V. N. Padmanabhan, and L. Qiu. Impact of interference on multihop wireless network performance. ACM/Springer Wireless Networks 11:471487, 2005. [14] M. Kodialam and T. Nandagopal. Characterizing achievable rates in multi-hop wireless networks: The joint routing and scheduling problem. In ACM MobiCom, 2003. [15] M. Kodialam and T. Nandagopal. Characterizing the capacity region in multi-radio multi-channel wireless mesh networks. In ACM MobiCom, 2005. [16] P. Wan. Multiflows in multihop wireless networks. In ACM Mobihoc, 2009. [17] P. Wan, Y. Cheng, Z. Wang, and F. Yao. Multiflows in multi-channel multi-radio multihop wireless networks. In Proceedings IEEE INFOCOM, pages 846–854, 2011. [18] V.S.A. Kumar, M.V. Marathe, S. Parthasarathy, and A. Srinivasan. Algorithmic aspects of capacity in wireless networks. In SIGMETRICS Perform. Eval. Rev. 33(1):133V144, 2005. [19] A. E. Ozdaglar and D. P. Bertsekas. Optimal solution of integer multicommodity flow problems with application in optical networks. In Symposium on Global Optimization, 2003. [20] R. Cruz and A. Santhanam. Optimal routing, link scheduling and power control in multi-hop wireless networks. In IEEE Infocom, 2003. [21] G. B. Middleton, B. Aazhang, and J. Lilleberg. A flexible framework for polynomial time resource allocation in multiflow wireless networks. In the 47th Allerton Conference on Communication, Control and Computing, September 2009. [22] G. B. Middleton, B. Aazhang, and J. Lilleberg. Efficient resource allocation and interference management for streaming multiflow wireless networks. In IEEE ICC, May 2010. [23] M. Baghaie, D. S. Hochbaum, and B. Krishnamachari. On hardness of multiflow transmission in delay constrained cooperative wireless networks. In the 2011 IEEE Globecom, Houston, Texas, USA, 5-9 December 2011. [24] W. Tu, C. Sreenan, C. Chou, A. Misra, and S. Jha. Resource-aware video multicasting via access gateways in wireless mesh networks. IEEE Transactions on Mobile Computing, 11:881–895, June 2012. [25] A. Gopinathan, Z. Li, and B. Li. On achieving group strategyproof information dissemination in wireless networks. In International Conference on Game Theory for Networks, 2009. GameNets’ 09., pages 232–240. IEEE, 2009. [26] A. Gopinathan, Z. Li, and B. Li. Group strategyproof multicast in wireless networks. IEEE Transactions on Parallel and Distributed Systems, 22(5):708–715, 2011. [27] S. Jakubczak and D. Katabi. A cross-layer design for scalable mobile video. In Proceedings of the 17th annual international conference on Mobile computing and networking (MobiCom), pages 289–300. ACM, 2011. [28] S. Jakubczak and D. Katabi. Softcast: one-size-fits-all wireless video. ACM SIGCOMM Computer Communication Review, 41(4):449–450, 2011. [29] R. Baeza-Yates and B. Ribeiro-Neto. Modern information Retrieval, volume 463. ACM press New York, 1999. [30] J. Blomer, M. Kalfane, R. Karp, M. Karpinski, M. Luby, and D. Zuckerman. An xor-based erasure-resilient coding scheme, 1995. [31] W. K. Lin, D. M. Chiu, and Y. B. Lee. Erasure code replication revisited. In Proceedings of the Fourth International Conference on Peer-to-Peer Computing, 2004., pages 90–97, 2004. [32] C.-H. Ko and H.-Y. Wei. On-demand resource-sharing mechanism design in two-tier ofdma femtocell networks. IEEE Transactions on Vehicular Technology, 60(3):1059–1071, March 2011. [33] J. F. Nash. Equilibrium points in n-person games. In Proceedings of the National Academy of Sciences, volume 36, pages 48–49, 1950. [34] D. C. Parkes. Combinatorial auctions. In Iterative Combinatorial Auctions, chapter 2. Cambridge, MA: MIT Press, 2001. [35] C. Courcoubetis and R. Weber. Pricing Communication Networks: Economics, Technology and Modelling, chapter 10. New York: Wiley, 2003. [36] B. Radunovic and J.-Y. Le Boudec. A unified framework for max-min and min-max fairness with applications. ACM/IEEE Transactions on Networking, 15(5):1073–1083, 2007. [37] A. Detti, G. Bianchi, W. Kellerer, et al. SVEF: an open-source experimental evaluation framework. In In Proc. of IEEE MediaWIN 2009, Sousse, Tunisia, 2009. [38] Joint scalable video model software. [39] Foreman yuv video. ftp://ftp.tnt.uni-hannover.de/pub/svc/testsequences/. [40] 3GPP. TR 36.814, evolved universal terrestrial radio access (e-utra); further advancements for e-utra physical layer aspects, Mar. 2010. [41] S. Schwarz, J.C. Ikuno,M. Simko,M. Taranetz, Q.Wang, andM. Rupp. Pushing the limits of LTE: A survey on research enhancing the standard. IEEE Access, 1:51–62, 2013. [42] M. Condoluci, G. Araniti, T. Mahmoodi, and M. Dohler. Enabling the iot machine age with 5g: Machine-type multicast services for innovative real-time applications. IEEE Access, 4:5555–5569, 2016. [43] C.-H. Ko, C.-C. Chou, H.-Y. Meng, and H.-Y. Wei. Strategy-proof resource allocation mechanism for multi-flow wireless multicast. IEEE Transactions on Wireless Communications, 14(6):3143–3156, 2015. [44] O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener. Transmission with energy harvesting nodes in fading wireless channels: Optimal policies. IEEE Journal on Selected Areas in Communications, 29(8):1732–1743, 2011. [45] C. Keong Ho and R. Zhang. Optimal energy allocation for wireless communications with energy harvesting constraints. IEEE Transactions on Signal Processing, 60(9):4808–4818, 2012. [46] H. Ju and R. Zhang. Throughput maximization in wireless powered communication networks. IEEE Transactions on Wireless Communications, 13(1):418–428, 2014. [47] J. Yang, O. Ozel, and S. Ulukus. Broadcasting with an energy harvesting rechargeable transmitter. IEEE Transactions on Wireless Communications, 11(2):571–583, 2012. [48] J. Xu and R. Zhang. Throughput optimal policies for energy harvesting wireless transmitters with non-ideal circuit pwer. IEEE Journal on Selected Areas in Communications, 32(2):322–332, 2014. [49] S. Guo and O. WW Yang. Energy-aware multicasting in wireless ad hoc networks: A survey and discussion. Computer Communications, 30(9):2129–2148, 2007. [50] S.-P. Chuah, Z. Chen, and Y.-P. Tan. Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks. IEEE Transactions on Multimedia, 14(4):1324–1336, 2012. [51] L. Al-Kanj and Z. Dawy. Energy-aware resource allocation in ofdma wireless multicasting networks. In 2012 19th International Conference on Telecommunications (ICT), pages 1–5. IEEE, 2012. [52] C.-C. Kuan, G.-Y. Lin, H.-Y. Wei, and R. Vannithamby. Reliable multicast and broadcast mechanisms for energy-harvesting devices. IEEE Transactions on Vehicular Technology, 63(4):1813–1826, 2014. [53] C. K. Ho, P. D. Khoa, and P. C. Ming. Markovian models for harvested energy in wireless communications. In 2010 IEEE International Conference on Communication Systems (ICCS), pages 311–315. IEEE, 2010. [54] H. S. Wang and N. Moayeri. Finite-state markov channel-a useful model for radio communication channels. IEEE Transactions on Vehicular Technology, 44(1):163–171, 1995. [55] Q. Zhang and S. A. Kassam. Finite-state markov model for rayleigh fading channels. IEEE Transactions on Communications, 47(11):1688–1692, 1999. [56] M. A. Alsheikh, D. T. Hoang, D. Niyato, H.-P. Tan, and S. Lin. Markov decision processes with applications in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 17(3):1239–1267, 2015. [57] T. R. Palfrey and S. Srivastava. On bayesian implementable allocations. The Review of Economic Studies, 54(2):193–208, 1987. [58] W. Vickrey. Counterspeculation, auctions, and competitive sealed tenders. The Journal of Finance, 16(1):8–37, 1961. [59] E. H. Clarke. Multipart pricing of public goods. Public Choice, 11(1):17–33, 1971. [60] T. Groves. Incentives in teams. Econometrica: Journal of the Econometric Society, pages 617–631, 1973. [61] D. Gillette. Stochastic games with zero stop probabilities. Contributions to the Theory of Games, 3:179–187, 1957. [62] D. Fudenberg and D. Levine. Subgame-perfect equilibria of finite-and infinitehorizon games. Journal of Economic Theory, 31(2):251–268, 1983. [63] D. Abreu. On the theory of infinitely repeated games with discounting. Econometrica: Journal of the Econometric Society, pages 383–396, 1988. [64] E. Hendon, H. J. Jacobsen, and B. Sloth. The one-shot-deviation principle for sequential rationality. Games and Economic Behavior, 12(2):274–282, 1996. [65] J. Pineau, G. Gordon, S. Thrun, et al. Point-based value iteration: An anytime algorithm for pomdps. In IJCAI, volume 3, pages 1025–1032, 2003. [66] M. L. Littman, T. L. Dean, and L. P. Kaelbling. On the complexity of solving markov decision problems. In Proceedings of the Eleventh conference on Uncertainty in artificial intelligence, pages 394–402. Morgan Kaufmann Publishers Inc., 1995. [67] J.Wu, C. Yuen,M.Wang, and J. Chen. Content-aware concurrent multipath transfer for high-definition video streaming over heterogeneous wireless networks. IEEE Transactions on Parallel and Distributed Systems, 27(3):710–723, 2016. [68] L.Mainetti, L. Patrono, and A. Vilei. Evolution of wireless sensor networks towards the internet of things: A survey. In 2011 19th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pages 1–6. IEEE, 2011. [69] W. KG Seah, Z. A. Eu, and H.-P. Tan. Wireless sensor networks powered by ambient energy harvesting (wsn-heap)-survey and challenges. In 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, 2009. Wireless VITAE 2009., pages 1–5. Ieee, 2009. [70] F. K. Shaikh and S. Zeadally. Energy harvesting in wireless sensor networks: A comprehensive review. Renewable and Sustainable Energy Reviews, 55:1041–1054, 2016. [71] V. Sharma, U. Mukherji, V. Joseph, and S. Gupta. Optimal energy management policies for energy harvesting sensor nodes. IEEE Transactions on Wireless Communications, 9(4):1326–1336, 2010. [72] N. Michelusi, K. Stamatiou, and M. Zorzi. Transmission policies for energy harvesting sensors with time-correlated energy supply. IEEE Transactions on Communications, 61(7):2988–3001, 2013. [73] M. Vuran, ¨O. Akan, and I. Akyildiz. Spatio-temporal correlation: Theory and applications for wireless sensor networks. Computer Networks, 45(3):245–259, 2004. [74] C. Liu, K.Wu, and J. Pei. An energy-efficient data collection framework for wireless sensor networks by exploiting spatio-temporal correlation. IEEE Transactions on Parallel and Distributed Systems, 18(7), 2007. [75] S. Yoon and C. Shahabi. The clustered aggregation (cag) technique leveraging spatial and temporal correlations in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 3(1):3, 2007. [76] C. Luo, F. Wu, J. Sun, and C. W. Chen. Compressive data gathering for large-scale wireless sensor networks. In Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, pages 145–156. ACM, 2009. [77] N. Roy, V. Rajamani, and C. Julien. Supporting multi-fidelity-aware concurrent applications in dynamic sensor networks. In 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pages 43–49. IEEE, 2010. [78] J. Zheng, Y. Cai, X. Shen, Z. Zheng, and W. Yang. Green energy optimization in energy harvesting wireless sensor networks. IEEE Communications Magazine, 53(11):150–157, 2015. [79] D. Zhang, Z. Chen,M. K. Awad, N. Zhang, H. Zhou, and X. S. Shen. Utility-optimal resource management and allocation algorithm for energy harvesting cognitive radio sensor networks. IEEE Journal on Selected Areas in Communications, 34(12):3552–3565, 2016. [80] M.-J. Shih, G.-Y. Lin, and H.-Y. Wei. Two paradigms in cellular internet-of-things access for energy-harvesting machine-to-machine devices: push-based versus pull-based. IET Wireless Sensor Systems, 6(4):121–129, 2016. [81] H.-H Lin, M.-J. Shih, H.-Y. Wei, and R. Vannithamby. Deepsleep: Ieee 802.11 enhancement for energy-harvesting machine-to-machine communications. Wireless Networks, 21(2):357–370, 2015. [82] N. Cressie. Statistics for Spatial Data. John Wiley & Sons, 2015. [83] A. Deshpande, C. Guestrin, S. R. Madden, J. M. Hellerstein, and W. Hong. Model-driven data acquisition in sensor networks. In Proceedings of the Thirtieth International Conference on Very Large Data Bases-Volume 30, pages 588–599. VLDB Endowment, 2004.
|