BurstMAC - An efficient MAC protocol for correlated traffic bursts

INSS2009 - 6th International Conference on Networked Sensing Systems

Volumn , Issue , 2009, Pages 1-9

  Ringwald, Matthias ^a   Römer, Kay ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENTION-BASED; CONTROL TRAFFIC; CORRELATED TRAFFIC; IDLE MODE; IDLE TIME; LARGE AMOUNTS OF DATA; LOW OVERHEAD; LOWER ENERGIES; MAC PROTOCOL; NETWORK TRAFFIC; SEISMIC DATAS; SENSOR NETWORK APPLICATIONS; VOLCANO MONITORING;

SENSORS;

SEISMOLOGY;

EID: 77950129388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INSS.2009.5409961     Document Type: Conference Paper

References (20)

1. J. E. Bresenham. Algorithm for computer control of a digital plotter. IBM Systems Journal 4, 1, 4(1), 1965.
2. BTnodes. A distributed environment for prototyping ad hoc networks. www.btnode.ethz.ch.
3. N. Burri, P. von Rickenbach, and R. Wattenhofer. Dozer: ultra-low power data gathering in sensor networks. In IPSN, 2007.
4. A. El-Hoiydi, J. D. Decotignie, C. Enz, and E. L. Roux. WiseMAC, an Ultra Low Power MAC Protocol for the WiseNET Wireless Sensor Network. In SenSys, 2003.
5. J. Redi et. al. Javelen - an ultra-low energy ad hoc wireless network. Ad Hoc Networks, 6(1), 1 2006.
6. S. Kim, R. Fonseca, P. Dutta, A. Tavakoli, D. Culler, P. Levis, S. Shenker, and I. Stoica. Flush: a reliable bulk transport protocol for multihop wireless networks. In SenSys, 2007.
7. Y. Kim, H. Shin, and H. Cha. Y-MAC: An energy-efficient multi-channel MAC protocol for dense wireless sensor networks. In IPSN, 2008.
8. A. Krohn, M. Beigl, C. Decker, and T. Riedel. Syncob: Collaborative time synchronization in wireless sensor networks. In Proceedings of the 4th International Conference on Networked Sensing Systems (INSS), pages 283-290, Braunschweig, Germany, June 2007.
9. A. Krohn, M. Beigl, and S. Wendhack. SDJS: Efficient Statistics in Wireless Networks. In ICNP, 2004.
10. K. Langendoen. Medium access control in wireless sensor networks. In H. Wu and Y.Pan, editors, Medium access control in wireless networks, volume II: practive and standards. Nova Science Publishers, 2007.
11. H. K. Le, D. Henriksson, and T. Abdelzaher. A practical multi-channel media access control protocol for wireless sensor networks. In IPSN, 2008.
12. C.-J. M. Liang, R. Musaloiu-Elefteri, and A. Terzis. Typhoon: A reliable data dissemination protocol for wireless sensor networks. In EWSN, 2008.
13. M. Maróti, B. Kusy, G. Simon, and Ákos Lédeczi. The flooding time synchronization protocol. In SenSys, 2004.
14. M. Ringwald and K. Römer. BitMAC: A deterministic, collision-free, and robust MAC protocol for sensor networks. In EWSN, 2005.
15. L. van Hoesel and P. J. M. Havinga. A lightweight medium access protocol (LMAC) for wireless sensor networks: Reducing preamble transmissions and transceiver state switches. In INSS, 2004.
16. L. van Hoesel and P. J. M. Havinga. Design aspects of an energy-efficient, lightweight medium access control protocol for WSN. Technical Report TR-CTIT-06-47, University of Twente, Enschede, July 2006.
17. G. Werner-Allen, K. Lorincz, J. Johnson, J. Lees, and M. Welsh. Fidelity and yield in a volcano monitoring sensor network. In OSDI, 2006.
18. K. Whitehouse, A. Woo, F. Jiang, J. Polastre, and D. Culler. Exploiting the capture effect for collision detection and recovery. In EmNets, 2005.
19. A. Woo, T. Tong, and D. Culler. Taming the underlying challenges of reliable multihop routing in sensor networks. In SenSys, 2003.
20. W. Ye, F. Silva, and J. S. Heidemann. Ultra-low duty cycle MAC with scheduled channel polling. In SenSys, 2006.