A clique-based WBAN scheduling for mobile wireless body area networks

Procedia Computer Science

Volumn 31, Issue , 2014, Pages 1092-1101

  Xie, Zhijun ^a,b   Huang, Guangyan ^b   He, Jing ^b   Zhang, Yanchun ^b  

^a NINGBO UNIVERSITY   (China)

^b VICTORIA UNIVERSITY   (Australia)

Author keywords

Clique; Scheduling; Sensors; Wireless body area networks

Indexed keywords

BLOOD PRESSURE; BODY SENSOR NETWORKS; SCHEDULING; SENSORS;

BLOOD SUGARS; BODY TEMPERATURE; CLIQUE; MOBILE WIRELESS; MULTIPLE PARAMETERS; SCHEDULING METHODS; SYSTEM THROUGHPUT; WIRELESS BODY AREA NETWORK;

WIRELESS LOCAL AREA NETWORKS (WLAN);

EID: 84902252189     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2014.05.364     Document Type: Conference Paper

References (26)

1. Latré B, Braem B, Moerman I, et al. A survey on wireless body area networks. J Wireless Networks, 2011, 17(1):1-18.
2. Hooi Been L., Baumann D, Erping L. A human body model for efficient numerical characterization of UWB signal propagation in wireless body area networks, IEEE Transactions on Biomedical Engineering, 2011, 58(3):689-697
3. M. Chen, S. Gonzalez, A. Vasilakos, H. Cao, and V.C. Leung. Body Area Networks: A Survey. Mobile Networks and Applications, 2011, 16(2): 171-193.
4. Yong S, Baldus H, Espina J. The simulation method of the galvanic coupling intrabody communication with different signal transmission paths. IEEE Transactions on Instrumentation and Measurement. 2011;60(2-3): 1257-1266.
5. Ghasemzadeh H, Jafari R. Physical movement monitoring using body sensor networks: a phonological approach to construct spatial decision trees. IEEE Transactions on Industrial Informatics, 2011, 7(1): 66-77.
6. Akyildiz I.F., W.L. Su, Sankarasubramaniamv Y, Cayirciv E. A Survey on Sensor Networks, IEEE Comm. Magazine, 2002; 40(8): 102-114
7. Jiang S.M., Liu Y.D, Jiang Y.M, Yin Q.G. Provisioning of Adaptability to Variable Topologies for Routing Schemes in MANETs, IEEE J. Selected Areas in Comm, 2004; 22(7): 1347-1356.
8. Cheng SH, Huang C Y, Coloring-based inter-WBAN scheduling for mobile wireless body area networks. IEEE Transactions on parallel and distributed systems, 2013;24(2):250-259
9. Buddhika de S., Anirudh N, Mehul M., 2009, "Inter-user interference in Body Sensor Networks: Preliminary Investigation and an Infrastructure-Based Solution,". 4nd International Conference on Body Sensor Networks, Los Angeles, California, United States, pp:36-40
10. IEEE 802.15 WPAN Task Group 6 Body Area Networks, "15-08-0644-0- 0006-tg6 Technical Requirements Document," 2008.
11. Nikolaos AP, Vergados DJ, Vergados D.D., Christos D. Energy efficiency in wireless sensor networks using sleep mode. TDMA Scheduling Ad Hoc Networks.2009;7(2):322-43.
12. YANG Y, CARDEI M. Adaptive energy efficient sensor scheduling for wireless sensor networks. Optimization Letters, 2010, 4(3):359-369.
13. YARDIBI T, KARASAN E. A distributed activity scheduling algorithm for wireless sensor networks with partial coverage. Wireless Networks, 2010, 16(1):213-225.
14. th IEEE INFOCOM, Piscataway, NJ, USA, pp:1-9.
15. Liu C, Wu K, Xiao Y., Sun B. Random coverage with guaranteed connectivity: joint scheduling for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 2006; 17(6):62-75.
16. Bai X, Zhang C, Xuan D. Optimal Deployment Patterns for Full Coverage and k-connectivity Wireless Sensor Networks. IEEE/ACM Transaction on Networking, 2010, 18(3):78-87.
17. Natarajan A, Motani M, Silva B., "Investigating network architectures for body sensor networks," 2007, HealthNet, San Juan, Puerto Rico, USA.pp:19-24
18. Liang X, Shen Q, Lu R. Exploiting prediction to enable secure and reliable routing in wireless body area networks. 2012 IEEE INFOCOM, Orlando, USA, pp: 388-396.
19. Wang Z.L., Jiang M, Hu Y H, et al An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors.IEEE Transactions on Information Technology in Biomedicine, 2012, 16(4): 691-699.
20. Wang L, Gu T, Tao X P, et al. A hierarchical approach to real-time activity recognition in body sensor networks.Journal of Pervasive and Mobile Computing, 2012, 8(1):115-130.
21. nd International Conference on Wireless Communications, Networking and Mobile Computing, Wuhan, China.
22. th IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks, Giardini Naxos, Italy.
23. Motani M, Yap K.-K, Natarajan A, Silva B., Hu S. 2007, "Network characteristics of urban environments for wireless ban,", Biomedical Circuits and Systems Conference, Beijing, China, pp:179-182
24. Lu J, Bao L, Suda T. Probabilistic self-scheduling for coverage configuration in wireless ad-hoc sensor networks. International Journal of Pervasive Computing and Communications, 2008;4(1):26-39.
25. Wang L, Lin Y, Liu Y. 2007, Key distribution for group-based sensor deployment using a novel interconnection graph. IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks(WoWMoM). Helsinki, Finland.pp. 1-9.
26. Wang L, Lin Y. 2004, Petersen graphs connected hypercube networks. The IEEE international conference on networks (ICON 2004). Singapore, pp:09-11.