Impact of radio randomness on performances of lattice wireless sensors networks based on event-reliability concept

Mobile Information Systems

Volumn 2, Issue 4, 2006, Pages 211-227

  Yang, Tao ^a   De Marco, Giuseppe ^a   Ikeda, Makoto ^a   Barolli, Leonard ^a  

^a FUKUOKA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Congestion control; Sensor nets simulation; Wireless sensor networks

Indexed keywords

EID: 85013601300     PISSN: 1574017X     EISSN: 1875905X     Source Type: Journal    
DOI: 10.1155/2006/725214     Document Type: Article

References (20)

1. Crossbow technology, inc. http://www.xbow.com/.
2. Özgür B. Akan and I.F. Akyildiz, Event-to-sink reliable transport in wireless sensor networks, IEEE/ACM Transactions on Networking 13(5) (2005), 1003-1016.
3. B. Bollobas, Random Graph, Academic Press, 1985.
4. A. Cerpa, J.L. Wong, L. Kuang, M. Potkonjak and D. Estrin, Statistical model of lossy links in wireless sensor networks, in ACM/IEEE Fourth International Conference on Information Processing in Sensor Networks (IPSN05), April 2005.
5. T. Clausen and P. Jacquet, Optimized Link State Routing Protocol, IETF RFC 3626, 2003.
6. C. Cooper, A note on the connectivity of 2-regular digraphs, Random Structures Algorithms 4 (1993), 469-472.
7. I. Donward, Nrl’s sensor network extension to ns-2. http://pf.itd.nrl.navy.mil/nrlsensorsim/, 2004.
8. L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan and D. Estrin, Emstar: a software environment for developing and deploying wireless sensor networks, In Proceedings of the 2004 USENIX Technical Conference, Boston, MA, 2004. USENIX.
9. W.B. Heinzelman, A.P. Chandrakasan and H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Transactions on Wireless Communications 1(4) (October 2004), 660-670.
10. ISI. Network simulator version 2. http://www.isi.edu/nsnam.
11. P. Levis, N. Lee, M. Welsh and D. Culler, Tossim: accurate and scalable simulation of entire tinyos applications, In SenSys '03: Proceedings of the 1st international conference on Embedded networked sensor systems, New York, NY, USA, 2003. ACM Press, 126-137.
12. W.M. Merrill, H.L.N. Liu, J. Leong, K. Sohrabi and G. Pottie, Quantifying short-range surface-to-surface communications links, IEEE Antennas and Propagation Magazine 46(3) (2004).
13. C. Perkins, ed., Ad Hoc Networks, Addison-Wesley, 2001. Perkins Rappaport.
14. T.S. Rappaport, Wireless Communications, Prentice Hall PTR, 2001.
15. M.C. Vuran, V.C. Gungor and O.B. Akan, On the interdependency of congestion and contention in wireless sensor networks, in Proceedings of CST SenMetrics '05, July 2005.
16. G.W. -Allen, K. Lorincz, O. Marcillo, J. Johnson and M. Ruizan J. Lees, Deploying a wireless sensor network on an active volcano, IEEE Internet Computing 10(2) (Marhc 2006), 18-25.
17. D.X. Wei, Speeding up ns-2 scheduler, http://netlab.caltech.edu/weixl/technical/ns2patch, September 2005. California Institute of Technology.
18. H. Zhang and J.C. Hou, Is deterministic deployment worse than random deployment for wireless sensor networks? in: Proceedings of IEEE INFOCOM '06, April 2006, to appear.
19. G. Zhou, T. He, S. Krishnamurthy and J.A. Stankovic, Impact of radio irregularity on wireless sensor networks, in: MobiSys '04: Proceedings of the 2nd international conference on Mobile systems, applications, and services, New York, NY, USA, 2004. ACM Press, pp. 125-138.
20. G. Zhou, T. He, S. Krishnamurthy and J.A. Stankovic, Models and solutions for radio irregularity in wireless sensor networks, to appear in ACM Transactions on Sensor Networks, 2006.