Power saving policies for multipurpose WBAN

2013 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2013

Volumn , Issue , 2013, Pages 83-90

  Casamassima, Filippo ^a   Farella, Elisabetta ^a   Benini, Luca ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Low power; MEMS; WBAN

Indexed keywords

MEMS; SENSOR NODES;

APPLICATION SPECIFIC REQUIREMENTS; LOW POWER; OPTIMAL EXPLOITATION; OPTIMAL OPERATING POINT; POWER MANAGEMENTS; SAMPLING FREQUENCIES; WBAN; WIRELESS BODY AREA NETWORK;

OPTIMIZATION;

EID: 84892751726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PATMOS.2013.6662159     Document Type: Conference Paper

References (25)

1. E. Farella, A. Pieracci, L. Benini, L. Rocchi, and A. Acquaviva, Interfacing human and computer with wireless body area sensor networks: The wimoca solution Multimedia Tools and Applications, vol. 38, pp. 337-363, 2008
2. K. Piotrowski, A. Sojka, and P. Langendoerfer, Body area network for first responders: A case study in Proceedings of the Fifth International Conference on Body Area Networks. ACM, 2010, pp. 37-40
3. S. Ramli and R. Ahmad, Surveying the wireless body area network in the realm of wireless communication in Information Assurance and Security (IAS), 2011 7th International Conference on, dec. 2011, pp. 58-61
4. D. Brunelli, E. Farella, L. Rocchi, M. Dozza, L. Chiari, and L. Benini, Bio-feedback system for rehabilitation based on a wireless body area network in Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on, march 2006, pp. 5 pp.-531
5. D. Barakah and M. Ammad-uddin, A survey of challenges and applications of wireless body area network (wban) and role of a virtual doctor server in existing architecture in Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on, feb. 2012, pp. 214-219
6. C. Chin, G. Crosby, T. Ghosh, and R. Murimi, Advances and challenges of wireless body area networks for healthcare applications in Computing, Networking and Communications (ICNC), 2012 International Conference on, 30 2012-feb. 2 2012, pp. 99-103
7. H. de Groot, M. Ashouei, J. Penders, V. Pop, M. Vidojkovic, B. Gyselinckx, and F. Yazicioglu, Human++: Key challenges and trade-offs in embedded system design for personal health care in Digital System Design (DSD), 2011 14th Euromicro Conference on, 31 2011-sept. 22011, pp. 4-10
8. S. Gopalan and J-T. Park, Energy-efficient mac protocols for wireless body area networks: Survey in Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on, oct. 2010, pp. 739-744
9. T. Baumgartner, S. Fekete, T. Kamphans, A. Kroller, and M. Pagel, Hallway monitoring: Distributed data processing with wireless sensor networks Real-World Wireless Sensor Networks, pp. 94-105, 2010
10. P. Zappi, D. Roggen, E. Farella, G. Tr?oster, and L. Benini, Networklevel power-performance trade-off in wearable activity recognition: A dynamic sensor selection approach ACM Transactions on Embedded Computing Systems (TECS), vol. 11, no. 3, p. 68, 2012
11. J. Li and P. Mohapatra, Analytical modeling and mitigation techniques for the energy hole problem in sensor networks Pervasive Mob. Comput., vol. 3, no. 3, pp. 233-254, Jun. 2007
12. S. Jain, R.C. Shah, W. Brunette, G. Borriello, and S. Roy, Exploiting mobility for energy efficient data collection in wireless sensor networks Mob. Netw. Appl., vol. 11, no. 3, pp. 327-339, jun2006. [Online]. Available: Http://dx.doi.org/10.1007/s11036-006-5186-9
13. G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, Energy conservation in wireless sensor networks: A survey Ad Hoc Netw., vol. 7, no. 3, pp. 537-568, May 2009
14. L. Benini, A. Bogliolo, and G. De Micheli, A survey of design techniques for system-level dynamic power management Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, vol. 8, no. 3, pp. 299-316, june 2000
15. C. Alippi, G. Anastasi, M. Di Francesco, and M. Roveri, Energy management in wireless sensor networks with energy-hungry sensors Instrumentation Measurement Magazine, IEEE, vol. 12, no. 2, pp. 16-23, 2009
16. M. Vuran, O Akan, and I. Akyildiz, Spatio-temporal correlation: Theory and applications for wireless sensor networks Computer Networks, vol. 45, no. 3, pp. 245-259, 2004
17. E. Fasolo, M. Rossi, J. Widmer, and M. Zorzi, In-network aggregation techniques for wireless sensor networks: A survey Wireless Communications, IEEE, vol. 14, no. 2, pp. 70-87, april 2007
18. C. Tang and C. Raghavendra, Compression techniques for wireless sensor networks in Wireless Sensor Networks, C. Raghavendra, K. Sivalingam, and T. Znati, Eds. Springer US, 2004, pp. 207-231
19. S. Goel and T. Imielinski, Prediction-based monitoring in sensor networks: Taking lessons from mpeg ACM SIGCOMM Computer Communication Review, vol. 31, no. 5, pp. 82-98, 2001
20. V. Raghunathan, S. Ganeriwal, and M. Srivastava, Emerging techniques for long lived wireless sensor networks Communications Magazine, IEEE, vol. 44, no. 4, pp. 108-114, 2006
21. J. Nilsson, I. Skog, and P. H?andel, A note on the limitations of zupts and the implications on sensor error modeling in Proceeding of 2012 nternational Conference on Indoor Positioning and Indoor Navigation (IPIN), 13-15th November 2012, 2012
22. H. Cao, V. Leung, C. Chow, and H. Chan, Enabling technologies for wireless body area networks: A survey and outlook Communications Magazine, IEEE, vol. 47, no. 12, pp. 84-93, 2009
23. O. Karjalainen, S. Rantala, and M. Kivikoski, A comparison of bluetooth low power modes in Telecommunications, 2003. ConTEL 2003. Proceedings of the 7th International Conference on, vol. 1, 2003, pp. 121- 128
24. R.C. Larsen, Energy modes an0007-application note Energy Micro, Tech. Rep., 2013. [Online]. Available: Http://cdn.energymicro.com/dl/an/pdf/an0007 efm32 energymodes.pdf
25. S. Bartling, S. Khanna, M. Clinton, S. Summerfelt, J. Rodriguez, and H. McAdams, An 8mhz 75 ua/mhz zero-leakage non-volatile logicbased cortex-m0 mcu soc exhibiting 100lt;400ns wakeup and sleep transitions in Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International, 2013, pp. 432-433