ACM Home Page
Please provide us with feedback. Feedback
Performance analysis of epidemic routing under contention
Full text PdfPdf (169 KB)
Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2006 international conference on Wireless communications and mobile computing table of contents
Vancouver, British Columbia, Canada
SESSION: T2-C: delay tolerant mobile networks symposium table of contents
Pages: 539 - 544  
Year of Publication: 2006
ISBN:1-59593-306-9
Authors
Apoorva Jindal  University of Southern California, Los Angeles, CA
Konstantinos Psounis  University of Southern California, Los Angeles, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 73,   Citation Count: 4
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/10.1145/1143549.1143657
What is a DOI?

ABSTRACT

Epidemic routing has been proposed as a robust transmission scheme for sparse mobile ad hoc networks. Under the assumption of no contention, epidemic routing has the minimum end-to-end delay amongst all the routing schemes proposed for such networks. The assumption of no contention was justified by arguing that since the network is sparse, there will be very few simultaneous transmissions. Some recent papers have shown through simulations that this argument is not correct and that contention cannot be ignored while analyzing the performance of routing schemes, even in sparse networks.Incorporating contention in the analysis has always been a hard problem and hence its effect has been studied mostly through simulations only. In this paper, we find analytical expressions for the delay performance of epidemic routing with contention. We include all the three main manifestations of contention, namely (i) the finite bandwidth of the link which limits the number of packets two nodes can exchange, (ii) the scheduling of transmissions between nearby nodes which is needed to avoid excessive interference, and (iii) the interference from transmissions outside the scheduling area. The accuracy of the analysis is verified via simulations.


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
Disruption tolerant networking. http://www.darpa.mil/ato/solicit/DTN/.
 
2
Torus hitting times and green's functions. http://www.math.tamu.edu/~rellis/comb/torus/torus.html.
3
 
4
D. Aldous and J. Fill. Reversible markov chains and random walks on graphs. (monograph in preparation.). http://stat-www.berkeley.edu/users/aldous/RWG/book.html.
 
5
S. Burleigh, A. Hooke, L. Torgerson, K. Fall, V. Cerf, B. Durst, and K. Scott. Delay-tolerant networking: an approach to interplanetary internet. IEEE Communications Magazine, 41, 2003.
 
6
A. Doria, M. Udén, and D. P. Pandey. Providing connectivity to the saami nomadic community. In Proc. 2nd Int. Conf. on Open Collaborative Design for Sustainable Innovation, Dec. 2002.
 
7
R. Groenevelt, P. Nain, and G. Koole. The message delay in mobile ad hoc networks. In Performance, 2005.
 
8
A. Jindal and K. Psounis. Perfomance analysis of epidemic routing under contention. Technical Report CENG-2006-2, USC, 2006.
9
 
10
S. Kandukuri and S. Boyd. Optimal power control in interference-limited fading wireless channels with outage-probability specifications. IEEE Transactions on Wireless Communications, 1, Jan. 2002.
11
 
12
S. Ross. Introduction to Probability Models. Academic Press, 8 edition, 2002.
 
13
T. Spyropoulos, K. Psounis, and C. S. Raghavendra. Multiple-copy routing in intermittently connected mobile networks. Technical Report CENG-2004-12, USC, 2004.
 
14
T. Spyropoulos, K. Psounis, and C. S. Raghavendra. Single-copy routing in intermittently connected mobile networks. In Proceedings of IEEE SECON, 2004.
15
 
16
 
17
A. Vahdat and D. Becker. Epidemic routing for partially connected ad hoc networks. Technical Report CS-200006, Duke University, Apr. 2000.
 
18
A. F. Winfield. Distributed sensing and data collection via broken ad hoc wireless connected networks of mobile robots. Distributed Autonomous Robotic Systems, pages 273--282, 2000.
 
19
X. Zhang, G. Neglia, J. Kurose, and D. Towsley. Performance modeling of epidemic routing. Technical Report CMPSCI 05-44, Umass, 2005.
 
20
M. Zuniga and B. Krishnamachari. Analyzing the transitional region in low power wireless links. In Proceedings of IEEE SECON, 2004.


Collaborative Colleagues:
Apoorva Jindal: colleagues
Konstantinos Psounis: colleagues