ACM Home Page
Please provide us with feedback. Feedback
Robust network connectivity: when it's the big picture that matters
Full text PdfPdf (306 KB)
Source Joint International Conference on Measurement and Modeling of Computer Systems archive
Proceedings of the joint international conference on Measurement and modeling of computer systems table of contents
Saint Malo, France
SESSION: Communication architecture and metrics table of contents
Pages: 299 - 310  
Year of Publication: 2006
ISBN:1-59593-319-0
Also published in ...
Authors
Enoch Peserico  M.I.T. and Univ. of Padua
Larry Rudolph  M.I.T.
Sponsors
ACM: Association for Computing Machinery
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 48,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1140277.1140312
What is a DOI?

ABSTRACT

This work analyzes the connectivity of large diameter networks where every link has an independent probability p of failure. We give a (relatively simple) topological condition that guarantees good connectivity between regions of such a network. Good connectivity means that the regions are connected by nearly as many disjoint, fault-free paths as there are when the entire network is fault-free. The topological condition is satisfied in many cases of practical interest, even when two regions are at a distance much larger than the expected "distance between faults", 1/p. We extend this result to networks with failures on nodes, as well as geometric radio networks with random distribution of nodes in a deployment area of a given topography.A rigorous formalization of the intuitive notion of "hole" in a (not necessarily planar) graph is at the heart of our result and our proof. Holes, in the presence of faults, degrade connectivity in the region "around" them to a distance that grows with the size of the hole and the density of faults. Thus, to guarantee good connectivity between two regions even in the presence of faults, the intervening network should not only sport multiple paths, but also not too many large holes.Our result essentially characterizes networks where connectivity depends on the "big picture" structure of the network, and not on the local "noise" caused by faulty or imprecisely positioned nodes and links.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
L. Booth, J. Bruck, M. Franceschetti, and R. Meester. Continuum percolation and the geometry of wireless networks. Annals of Applied Probability, 13(2): 722--731, 2003.
 
3
O. Dousse and P. Thiran. Connectivity vs capacity in dense ad hoc networks. In Proceedings of IEEE INFOCOM, 2004.
 
4
O. Dousse, P. Thiran, and M. Hasler. Connectivityin ad-hoc and hybrid networks. In Proceedings of IEEE INFOCOM, 2002.
5
 
6
E. N. Gilbert. Random plane networks. Journal of the Society for Industrial and Applied Mathematics, 9(4): 533--543, 1961.
 
7
M. Franceschetti, J. Bruck, M. Cook, and R. Meester. Continuum percolation with unreliable and spread out connections. Journal of Statistical Physics, 2004.
 
8
P. Gupta and P. Kumar. Critical power for asymptotic connectivity in wireless networks. Stochastic Analysis, Control, Optimization and Applications: A Volume in Honor of W. H. Fleming, 1998.
 
9
P. Gupta and P. R. Kumar. The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2): 388--404, March 2000.
10
 
11
B. Krishnamachari, S. Wicker, and R. Bejar. Phase transition phenomena in wireless ad-hoc networks. In Proceedings of the Symposium on Ad-Hoc Wireless Networks (GlobeCom), 2001.
 
12
E. Lebhar and N. Schabanel. Almost optimal decentralized routing in long-range contact networks. In Proceedings of the 31st International Col l oquium on Automata, Languages and Programming, pages 179--188, 2004.
 
13
 
14
L. Li, J. Halpern, and Z. Haas. Gossip-based ad hoc routing. In Proceedings of IEEE INFOCOM, 2002.
 
15
16
 
17
 
18
R. Meezer and R. Roy. Continuum Percolation. Cambridge University Press, 1996.
19
20
 
21
 
22
Y. Sasson, D. Cavin, and A. Schiper. Probabilistic broadcast for flooding in wireless mobile ad hoc networks. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), 2003.
23
 
24
D. Watts and S. Strogatz. Collective dynamics of small world networks. Nature, pages 393--440, 1998.
 
25
B. Y. Zhao, L. Huang, J. Stribling, S. C. Rhea, A. D. Joseph, and J. Kubiatowicz. Tapestry: A resilient global-scale overlay for service deployment. IEEE Journal on Selected Areas in Communications, 22(1), January 2004.


Collaborative Colleagues:
Enoch Peserico: colleagues
Larry Rudolph: colleagues