Towards Interactive Medical Content Delivery Between Simulated Body Sensor Networks and Practical Data Center

Journal of Medical Systems

Volumn 40, Issue 10, 2016, Pages

  Shi, Xiaobo ^a,b   Li, Wei ^a   Song, Jeungeun ^a   Hossain, M Shamim ^c   Mizanur Rahman, Sk Md ^c   Alelaiwi, Abdulhameed ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HENAN NORMAL UNIVERSITY   (China)

^c KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

Big data analysis; Body sensor networks; Health care; Semi physical simulation

Indexed keywords

ARTICLE; CLOUD COMPUTING; DATA ANALYSIS; DATA COLLECTION METHOD; DATA PROCESSING; HEALTH CARE SYSTEM; PROCESS MODEL; SENSOR; SIMULATION; AMBULATORY MONITORING; COMPUTER NETWORK; DEVICES; HUMAN; INFORMATION DISSEMINATION; INTERNET; ORGANIZATION AND MANAGEMENT; REMOTE SENSING; SYSTEM ANALYSIS; WIRELESS COMMUNICATION;

CLOUD COMPUTING; COMPUTER COMMUNICATION NETWORKS; HUMANS; INFORMATION DISSEMINATION; INTERNET; MONITORING, AMBULATORY; REMOTE SENSING TECHNOLOGY; SYSTEMS INTEGRATION; WIRELESS TECHNOLOGY;

EID: 84983631402     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-016-0575-5     Document Type: Article

References (47)

1. Liu, C. H., Fan, J., Branch, J. W., Leung, K. K., Toward qoi and energy-efficiency in internet-of-things sensory environments. IEEE Transactions on Emerging Topics in Computing 2(4):473–487, 2014.
2. Liu, C. H., Yang, B., Liu, T., Efficient naming, addressing and profile services in internet-of-things sensory environments. Ad Hoc Netw. 18:85–101, 2014.
3. Zheng, K., Yang, Z., Zhang, K., Chatzimisios, P., Yang, K., Xiang, W., Big data-driven optimization for mobile networks toward 5g. IEEE Netw. 30(1):44–51, 2016.
4. Chen, M., Mao, S., Liu, Y., Big data: A survey. Mobile Networks and Applications 19(2):171–209, 2014.
5. Chen, M., Hao, Y., Li, Y., Lai, C. -F., Wu, D., On the computation offloading at ad hoc cloudlet: architecture and service modes. IEEE Commun. Mag. 53(6):18–24, 2015.
6. Bouwmeester, W., Twisk, J. W., Kappen, T. H., van Klei, W. A., Moons, K. G., Vergouwe, Y., Prediction models for clustered data: comparison of a random intercept and standard regression model. BMC Med. Res. Methodol. 13(1):1, 2013.
7. Liu, C. H., Wen, J., Yu, Q., Yang, B., Wang, W.: Healthkiosk: A family-based connected healthcare system for long-term monitoring. In: Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on.1em plus 0.5em minus 0.4emIEEE, pp. 241–246 (2011)
8. Raghupathi, W., and Raghupathi, V., Big data analytics in healthcare: promise and potential. Health Information Science and Systems 2(1):1, 2014.
9. Lin, K., Wang, W., Wang, X., Ji, W., Wan, J., Qoe-driven spectrum assignment for 5g wireless networks using sdr. IEEE Wirel. Commun. 22(6):48–55, 2015.
10. Lin, K., Xu, T., Song, J., Qian, Y., Sun, Y.: Node scheduling for all-directional intrusion detection in sdr-based 3d wsns
11. Qiu, M., Ming, Z., Li, J., Gai, K., Zong, Z., Phase-change memory optimization for green cloud with genetic algorithm. IEEE Trans. Comput. 64(12):3528–3540, 2015.
12. Chen, M., Hao, Y., Qiu, M., Song, J., Wu, D., Humar, I., Mobility-aware Caching and Computation Offloading in 5G Ultradense Cellular Networks. Sensors 16(7):974–987, 2016.
13. Chen, M., Zhang, Y., Hu, L., Taleb, T., Sheng, Z., Cloud-based Wireless Network: Virtualized, Reconfigurable, Smart Wireless Network to Enable 5G Technologies. ACM/Springer Mobile Networks and Applications 20(6):704–712, Dec. 2015.
14. Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., Escobar, G., Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff. 33(7):1123–1131, 2014.
15. Zhou, L., Specific versus diverse computing in media cloud. IEEE Trans. Circuits Syst. Video Technol. 25 (12):1888–1899, 2015.
16. Zhou, L., and Wang, H., Toward blind scheduling in mobile media cloud: Fairness, simplicity, and asymptotic optimality. IEEE Trans. Multimedia 15(4):735–746, 2013.
17. Lei, L., Zhong, Z., Zheng, K., Chen, J., Meng, H., Challenges on wireless heterogeneous networks for mobile cloud computing. IEEE Wirel. Commun. 20(3):34–44, 2013.
18. Fortino, G., Di Fatta, G., Pathan, M., Vasilakos, A. V., Cloud-assisted body area networks: state-of-the-art and future challenges. Wirel. Netw 20(7):1925–1938, 2014.
19. Fortino, G., Parisi, D., Pirrone, V., Di Fatta, G., Bodycloud: A saas approach for community body sensor networks. Futur. Gener. Comput. Syst. 35:62–79, 2014.
20. Qiu, M., Chen, Z., Ming, Z., Qin, X., Niu, J.: Energy-aware data allocation with hybrid memory for mobile cloud systems (2014)
21. Chen, M., Ma, Y., Song, J., Lai, C., Hu, B., Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring. ACM/Springer Mobile Networks and Applications. doi:10.1007/s11036-016-0745-1,2016.
22. Tian, D., Zhou, J., Sheng, Z., Leung, V.: Robust energy-efficient mimo transmission for cognitive vehicular networks (2015)
23. Tian, D., Zhou, J., Wang, Y., Zhang, G., Xia, H., An adaptive vehicular epidemic routing method based on attractor selection model. Ad Hoc Netw. 36:465–481, 2016.
24. Tian, D., Zhou, J., Wang, Y., Lu, Y., Xia, H., Yi, Z., A dynamic and self-adaptive network selection method for multimode communications in heterogeneous vehicular telematics. IEEE Trans. Intell. Transp. Syst. 16(6):3033–3049, 2015.
25. Li, Y., Dai, W., Ming, Z., Qiu, M., Privacy protection for preventing data over-collection in smart city. IEEE Trans. Comput. 65(5):1339–1350, 2016.
26. Liu, C. H., Fan, J., Hui, P., Wu, J., Leung, K. K., Toward qoi and energy efficiency in participatory crowdsourcing. IEEE Trans. Veh. Technol. 64(10):4684–4700, 2015.
27. Liu, C. H., Hui, P., Branch, J. W., Bisdikian, C., Yang, B.: Efficient network management for context-aware participatory sensing. In: Sensor, mesh and ad hoc communications and networks (secon), 2011 8th annual ieee communications society conference on.1em plus 0.5em minus 0.4emIEEE, pp. 116–124 (2011)
28. Zhang, B., Song, Z., Liu, C. H., Ma, J., Wang, W., An event-driven qoi-aware participatory sensing framework with energy and budget constraints. ACM Trans. Intell. Syst. Technol. 6(3):42, 2015.
29. Liu, C. H., Leung, K. K., Gkelias, A., A generic admission-control methodology for packet networks. IEEE Trans. Wirel. Commun. 13(2):604–617, 2014.
30. Taleb, T., Ksentini, A., Chen, M., Jantti, R., Coping with emerging mobile social media applications through dynamic service function chaining. IEEE Trans. Wirel. Commun. 15(4):2859–2871, 2016.
31. Zhang, Y., Chen, M., Mao, S., Hu, L., Leung, V. C., Cap Community activity prediction based on big data analysis. IEEE Netw. 28(4):52–57, 2014.
32. Bottura, R., Babazadeh, D., Zhu, K., Borghetti, A., Nordström, L., Nucci, C. A.: Sitl and hla co-simulation platforms: Tools for analysis of the integrated ict and electric power system. In: EUROCON, 2013 IEEE.1em plus 0.5em minus 0.4emIEEE, pp. 918–925 (2013)
33. Chen, M., Opnet network simulation. Vol. 1: Press of Tsinghua University, 2004.
34. Luo, T., Tan, H. -P., Quek, T. Q., Sensor openflow: Enabling software-defined wireless sensor networks. IEEE Commun. Lett. 16(11):1896–1899, 2012.
35. Lin, K., Song, J., Luo, J., Ji, W., Hossain, M. S., Ghoneim, A.: Gvt: Green video transmission in the mobile cloud networks
36. Lin, K., Chen, M., Deng, J., Hassan, M. M., Fortino, G.: Enhanced fingerprinting and trajectory prediction for iot localization in smart buildings
37. Hossain, M. S.: Cloud-supported cyber–physical localization framework for patients monitoring (2015)
38. Fortino, G., Galzarano, S., Gravina, R., Li, W., A framework for collaborative computing and multi-sensor data fusion in body sensor networks. Information Fusion 22:50–70, 2015.
39. Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P., Jafari, R., Enabling effective programming and flexible management of efficient body sensor network applications. IEEE Transactions on Human-Machine Systems 43(1):115–133, 2013.
40. Jonnagaddala, J., Liaw, S. -T., Ray, P., Kumar, M., Chang, N. -W., Dai, H. -J., Coronary artery disease risk assessment from unstructured electronic health records using text mining. J. Biomed. Inform. 58: S203–S210, 2015.
41. Chen, M., OPNET IoT Simulation, Huazhong University of Science and Technology Press, ISBN 978-7-5609-9510-6, 2015.
42. Hossain, M. S., Muhammad, G., Alhamid, M. F., Song, B., Al-Mutib, K., Audio-visual emotion recognition using big data towards 5g. Mobile Networks and Applications,1–11, 2016.
43. http://www.nsnam.org/
44. http://omnetpp.org/
45. http://www.winpcap.org/
46. Hakiri, A., Gokhale, A., Berthou, P., Schmidt, D. C., Gayraud, T., Software-defined networking: Challenges and research opportunities for future internet. Comput. Netw. 75:453–471, 2014.
47. McKeown, N., Software-defined networking. INFOCOM keynote talk 17(2):30–32, 2009.