Cognitive internet of things: A new paradigm beyond connection

IEEE Internet of Things Journal

Volumn 1, Issue 2, 2014, Pages 129-143

  Wu, Qihui ^a   Ding, Guoru ^a   Xu, Yuhua ^a   Feng, Shuo ^a   Du, Zhiyong ^a   Wang, Jinlong ^a   Long, Keping ^b,c  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Institute of Advanced Network Tech and New Services (ANTS)   (China)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Cognitive Internet of Things (CIoT); cognitive radio network (CRN); decision making; knowledge discovery; massive data analytics; semantic; service provisioning

Indexed keywords

COGNITIVE RADIO; DATA MINING; DECISION MAKING; INTERNET; METADATA; SEMANTIC WEB; SEMANTICS;

COGNITIVE INTERNETS; COGNITIVE RADIO NETWORK (CRN); INTELLIGENT DECISION MAKING; INTELLIGENT SERVICES; INTERNET OF THINGS (IOT); MASSIVE DATA; PERCEPTION-ACTION CYCLE; SERVICE PROVISIONING;

INTERNET OF THINGS;

EID: 84906839409     PISSN: None     EISSN: 23274662     Source Type: Journal    
DOI: 10.1109/JIOT.2014.2311513     Document Type: Article

References (66)

1. K. Ashton, "That 'Internet of Things' thing in the real world, things matter more than ideas, " RFID J., Jun. 2009 [Online]. Available: http://www.rfidjournal.com/article/print/4986, accessed on Oct. 25, 2013.
2. International Telecommunication Union (ITU), "ITU internet reports 2005: The Internet of Things, " ITU, Exec Summ., Nov. 2005 [Online]. Available: http://www.itu.int/pub/S-POL-IR.IT-2005, accessed on Oct. 25, 2013.
3. L. Atzori, A. Iera, and G. Morabito, "The Internet of Things: A survey, " Comput. Netw., vol. 54, no. 15, pp. 2787-2805, Oct. 2010.
4. C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, "Context aware computing for the Internet of Things: A survey, " IEEE Commun. Surveys Tuts., vol. 16, no. 1, pp. 414-454, First Quarter 2014.
5. M. R. Palattella et al., "Standardized protocol stack for the Internet of (important) Things, " Commun. Surveys Tuts., vol. 15, no. 3, pp. 1389-1406, Third Quarter 2013.
6. J. M. Fuster, Cortex and Mind: Unifying Cognition. Oxford, U.K.: Oxford Univ. Press, 2003.
7. R. Pfeifer and C. Scheier, Understanding Intelligence. Cambridge, MA, USA: MIT Press, 1999.
8. M. A. Fischler and O. Firschein, Intelligence: The Brain, and the Computer, ser. Reading, MA, USA: Addison-Wesley, 1987.
9. S. Haykin, Cognitive Dynamic Systems: Perception-Action Cycle, Radar, and Radio. London, U.K.: Cambridge Univ. Press, 2012.
10. N. Olifer and V. Olifer, Computer Networks: Principles, Technologies and Protocols for Network Design. New York, NY, USA: Wiley, 2005 [Online]. Available: http://au.wiley.com/WileyCDA/WileyTitle/productCd-EHEP000983.html.
11. D. L. Brock, "The electronic product code (EPC) a naming scheme for physical objects, " Jan. 2001 [Online]. Available: http://www.autoidlabs.org/ uploads/media/MIT-AUTOID-WH-002.pdf, Auto-ID Center, White Paper, accessed on Oct. 25, 2013.
12. Internet of Things, (2008, Mar. 26-28). International Conference for Industry and Academia. Zurich, Switzerland [Online]. Available: http://www.iot-conference.org/iot2008/, accessed on Oct. 25, 2013.
13. Wuxi Development, and Reform Commission. (May 2010). Wuxi Sensing China [Online]. Available: http://www.nacsa.com/archives/files/wuxi-event-20100526.pdf, accessed on Oct. 25, 2013.
14. O. Vermesan1 et al., "Internet of Things strategic research roadmap, " The Cluster of European Research Projects, Tech. Rep., Sep. 2009 [Online]. Available: http://www.internet-of-things-research.eu/pdf/IoT-Cluster-Strategic-Research-Agenda-2009.pdf, accessed on Oct. 25, 2013.
15. H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelffle, "Vision and challenges for realising the Internet of Things, " European Commission Information Society and Media, Tech. Rep., Mar. 2010 [Online]. Available: http://www.internet-of-things-research.eu/pdf/IoT-Clusterbook-March-2010.pdf, accessed on Oct. 25, 2013.
16. P. Vlacheas et al., "Enabling smart cities through a cognitive management framework for the Internet of Things, " IEEE Commun. Mag., vol. 51, no. 6, pp. 102-111, Jun. 2013.
17. M. Zhang et al., "Cognitive Internet of Things: Concepts and application example, " Int. J. Comput. Sci. Issues, vol. 9, no. 3, pp. 151-158, Nov. 2012.
18. J. Mitola III and G. Q. Maguire, "Cognitive radio: Making software radios more personal, " IEEE Pers. Commun., vol. 6, no. 4, pp. 13-18, Aug. 1999.
19. S. Haykin, "Cognitive radio: Brain-empowered wireless communications, " IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005.
20. I. F. Akyildiz, W. Y. Lee, M. C. Vuran, and S. Mohanty, "NeXt generation/ dynamic spectrum access/cognitive radio wireless networks: A survey, " Comput. Netw. J., vol. 50, no. 13, pp. 2127-2159, Sep. 2006.
21. N. Devroye, M. Vu, and V. Tarohk, "Cognitive radio networks: Highlights of information theoretic limits, models and design, " IEEE Signal Process. Mag., vol. 25, no. 6, pp. 12-23, Nov. 2008.
22. Z. Quan, S. Cui, H. V. Poor, and A. H. Sayed, "Collaborative wideband sensing for cognitive radios, " IEEE Signal Process. Mag., vol. 25, no. 6, pp. 60-73, Nov. 2008.
23. F. Gao, R. Zhang, Y.-C. Liang, and X. Wang, "Design of learning based MIMO cognitive radio systems, " IEEE Trans. Veh. Technol., vol. 59, no. 4, pp. 1707-1720, May 2010.
24. Q. Wu, G. Ding, J. Wang, and Y.-D. Yao, "Spatial-temporal opportunity detection in spectrum-heterogeneous cognitive radio networks: Twodimensional sensing, " IEEE Trans. Wireless Commun., vol. 12, no. 2, pp. 516-526, Feb. 2013.
25. R. Li et al., "The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice, " IEEE Commun. Mag., 2014, to be published.
26. G. Ding et al., "Spectrum sensing in opportunity-heterogeneous cognitive sensor networks: How to cooperate?, " IEEE Sensors J., vol. 13, no. 11, pp. 4247-4255, Nov. 2013.
27. P. Banerjee et al., "Everything as a service: Powering the new information economy, " Computer, vol. 44, no. 3, pp. 36-43, Mar. 2011.
28. D. Guinard et al., "Interacting with the SOA-based Internet of Things: Discovery, query, selection, and on-demand provisioning of web services, " IEEE Trans. Service Comput., vol. 3, no. 3, pp. 223-235, Jul./Sep. 2010.
29. D. Bimschas et al., "Semantic-service provisioning for the Internet of Things, " in Proc. WowKiVS 2011, Electron. Commun. EASST, 2011, vol. 37, pp. 1-12.
30. A. Zaslavsky, C. Perera, and D. Georgakopoulos, "Sensing as a service and big data, " in Proc. Int. Conf. Adv. Cloud Comput. (ACC-2012), Bangalore, India, Jul. 2012, pp. 21-29.
31. D. Mari and S. Kotz, Correlation and Dependence. London, U.K.: Imperial College Press, 2001.
32. R. B. Nelsen, An Introduction to Copulas. New York, NY, USA: Springer- Verlag, 1999.
33. S. G. Iyengar, P. K. Varshney, and T. Damarla, "A parametric copula-based framework for hypothesis testing using heterogeneous data, " IEEE Trans. Signal Process., vol. 59, no. 5, pp. 2308-2319, May 2011.
34. I. Goodman, R. Mahler, and H. Nguyen, Mathematics of Data Fusion. Norwell, MA, USA: Kluwer, 1997.
35. G. Ding et al., "Kernel-based learning for statistical signal processing in cognitive radio networks: Theoretical foundations, example applications, and future directions, " IEEE Signal Process. Mag., vol. 30, no. 4, pp. 126-136, Jul. 2013.
36. M. Mardani, G. Mateos, and G. B. Giannakis, "Dynamic anomalography: Tracking network anomalies via sparsity and low rank, " IEEE J. Sel. Topics Signal Process., vol. 7, no. 1, pp. 50-66, Feb. 2013.
37. E. Candès, X. Li, Y. Ma, and J. Wright, "Robust principal component analysis?, " J. ACM, vol. 58, pp. 1-37, 2011.
38. Y. Chen, A. Jalali, S. Sanghavi, and C. Caramanis, "Low-rank matrix recovery from errors and erasures, " IEEE Trans. Inf. Theory, vol. 59, no. 7, pp. 4324-4337, Jul. 2013.
39. Z. Lin, R. Liu, and Z. Su, "Linearized alternating direction method with adaptive penalty for low rank representation, " in Proc. 25th Annu. Conf. Neural Inf. Process. Syst. (NIPS'11), Granada, Spain, Dec. 2011, pp. 1-10.
40. D. Bertsekas, Constrained Optimization and Lagrange Multiplier Method. New York, NY, USA: Academic, 1982.
41. S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers, " Found. Trends Mach. Learn., vol. 3, no. 1, pp. 1-122, 2010.
42. J. Dean and S. Ghemawat, "MapReduce: Simplified data processing on large clusters, " Commun. ACM, vol. 51, no. 1, pp. 107-113, 2008.
43. A. K. Dey, G. D. Abowd, and D. Salber, "A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications, " Hum. Comput. Interact., vol. 16, pp. 97-166, Dec. 2001.
44. T. Strang and C. Linnhoff-Popien, "A context modeling survey, " in Proc. Workshop Adv. Context Model., Reason. Manage., Nottingham, U.K., 2004, pp. 1-8.
45. R. Studer, V. Benjamins, and D. Fensel, "Knowledge engineering: Principles and methods, " Knowl. Eng., vol. 25, no. 12, pp. 161-197, 1998.
46. A. Somov, C. Dupont, and R. Giaffreda, "Supporting smart-city mobility with cognitive Internet of Things, " in Proc. Future Netw. MobileSummit 2013 Conf., 2013, pp. 1-10.
47. J. W. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. New York, NY, USA: Elsevier, 2012.
48. H. Chen, T. Finin, A. Joshi, L. Kagal, F. Perich, and D. Chakraborty, "Intelligent agents meet the semantic web in smart spaces, " IEEE Internet Comput., vol. 8, no. 6, pp. 69-79, Nov. 2004.
49. M. W. Eysenck and M. T. Keane, Cognitive Psychology: A Student's Handbook, 6th ed. New York, NY, USA: Psychology Press, 2010.
50. Y. Xu et al., "Decision-theoretic distributed channel selection for opportunistic spectrum access: Strategies, challenges and solutions, " Commun. Surveys Tuts., vol. 15, no. 4, pp. 1689-1713, 2013.
51. D. Foster and V. Rakesh, "Calibrated learning and correlated equilibrium, " Games Econ. Behav., vol. 21, no. 1, pp. 40-55, 1997.
52. R. Myerson, Game Theory: Analysis of Conflict. Cambridge, MA, USA: Harvard Univ. Press, 1991.
53. P. Young, "Learning by trial and error, " Games Econ. Behav., vol. 65, pp. 626-643, 2009.
54. B. Pradelski and H. Young, "Learning efficient Nash equilibria in distributed systems, " Games Econ. Behav., vol. 75, no. 2, pp. 882-897, Jul. 2012.
55. H. Kameda and E. Altman, "Inefficient noncooperation in networking games of common-pool resources, " IEEE J. Sel. Areas Commun., vol. 26, no. 7, pp. 1260-1268, Jul. 2008.
56. Y. Xu et al., "Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games, " IEEE J. Sel. Topics Signal Process., vol. 6, no. 2, pp. 180-194, Apr. 2012.
57. P. Sastry, V. Phansalkar, and M. Thathachar, "Decentralized learning of Nash equilibria in multi-person stochastic games with incomplete information, " IEEE Trans. Syst. Man, Cybern. B, Cybern., vol. 24, no. 5, pp. 769-777, May 1994.
58. P. Bellavista et al., "A survey of context data distribution for mobile ubiquitous systems, " ACM Comput. Surveys (CSUR), vol. 44, no. 4, pp. 1-49, 2012.
59. J. Zhang and N. Ansari, "On assuring end-to-end QoE in next generation networks: challenges and a possible solution, " IEEE Commun. Mag., vol. 49, no. 7, pp. 185-191, Jul. 2011.
60. ITU-T Recommendation G.1070, "Opinion model for video-telephony applications" [Online]. Available: https://www.itu.int/rec/T-REC-G.1070/en
61. M. Fiedler, T. Hossfeld, and P. Tran-Gia, "A generic quantitative relationship between quality of experience and quality of service, " IEEE Netw., vol. 24, no. 2, pp. 36-41, Mar./Apr. 2010.
62. S. Shenker, "Fundamental design issues for the future internet, " IEEE J. Sel. Areas Commun., vol. 13, no. 7, pp. 1176-1188, Sep. 1995.
63. Q. T. Nguyen-Vuong, Y. Ghamri-Doudane, and N. Agoulmine, "On utility models for access network selection in wireless heterogeneous networks, " in Proc. Netw. Oper. Manag. Symp. (NOMS), 2008, pp. 144-151.
64. T. Chen, H. Kim, and Y. Yang, "Energy efficiency metrics for green wireless communications, " in Proc. 2010 Int. Conf. Wireless Commun. Signal Process. (WCSP), 2010, pp. 1-6.
65. J. Mitola, "Cognitive radio architecture evolution, " Proc. IEEE, vol. 97, no. 4, pp. 626-641, Apr. 2009.
66. J. Mitola, "Cognitive radio for flexiblemobilemultimedia communications, " in Proc. IEEE Int.WorkshopMobileMultimedia Commun. (MoMuC), 1999, pp. 3-10.