ACM Home Page
Please provide us with feedback. Feedback
Routing in a cyclic mobispace
Full text PdfPdf (619 KB)
Source
International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing table of contents
Hong Kong, Hong Kong, China
SESSION: Communication latency table of contents
Pages 351-360  
Year of Publication: 2008
ISBN:978-1-60558-073-9
Authors
Cong Liu  Florida Atlantic University, Boca Raton, FL, USA
Jie Wu  Florida Atlantic University, Boca Raton, FL, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 178,   Citation Count: 2
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/10.1145/1374618.1374665
What is a DOI?

ABSTRACT

A key challenge of routing in delay tolerant networks (DTNs) is finding routes that have high delivery rates and low end-to-end delays. When oracles are not available for future connectivity, opportunistic routing is preferred in DTNs, in which messages are forwarded to nodes with higher delivery probabilities. We observe that real objects have repetitive motions, but no prior research work has investigated the cyclic delivery probability of messages between nodes. In this paper, we propose to use the expected minimum delay (EMD) as a new delivery probability metric in DTNs with repetitive but non-deterministic mobility. Specifically, we model the network as a probabilistic time-space graph with historical contact information or prior knowledge about the network. We then translate it into a probabilistic state-space graph in which the time dimension is removed. Finally, we apply the Markov decision process to derive the EMDs of the messages at particular times. Our proposed EMD-based routing protocol, called routing in cyclic MobiSpace (RCM), outperforms several existing opportunistic routing protocols when simulated using both real and synthetic traces.


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
V. Cerf, S. Burleigh, A. Hooke, L. Torgerson, R. Durst, K. Scott, K. Fall, and H. Weiss. Delay-tolerant Network Architecture. In Internet draft: draft-irrf-dtnrg-arch.txt, DTN Research Group, 2006.
2
 
3
S. Merugu, M. Ammar, and E. Zegura. Routing in Space and Time in Network with Predictable Mobility. In Technical report: GIT-CC-04-07, College of Computing, Georgia Tech, 2004.
 
4
J. Haas, J. Y. Halpern, and L. Li. Gossip-Based Ad Hoc Routing. In Proc. of IEEE INFOCOM, 2002.
 
5
A. Lindgren, A. Doria, and O. Schelen. Probabilistic Routing in Intermittently Connected Networks. Lecture Notes in Computer Science, 3126:239--254, August 2004.
6
7
 
8
J. Burgess, B. Gallagher, D. Jensen, and B. N. Levine. MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networking. In Proc. of IEEE INFOCOM, 2006.
9
 
10
 
11
R. A. Howard. Dynamic Programming and Markov Processes. The MIT Press, 1960.
 
12
B. Bonet and H. Geffner. Faster Heuristic Search Algorithms for Planning with Uncertainty and Full Feedback. In Proc. of IJCAI, 2003.
 
13
P. Dai and J. Goldsmith. Topological Value Iteration Algorithm for Markov Decision Processes. In Proc. of IJCAI, 2007.
 
14
A. J. Briggs, C. Detweiler, D. Scharstein, and A. Vandenberg-Rodes. Expected Shortest Paths for Landmark-Based Robot Navigation. International Journal of Robotics Research, 23(7-8):717--728, July-August 2004.
 
15
 
16
A. Vahdate and D. Becker. Epidemic Routing for Partially-connected Ad Hoc Networks. In Technical Report, Duke University, 2002.
17
 
18
19
20
21
 
22
CRAWDAD data set. Downloaded from http://crawdad.cs.dartmouth.edu/.
23
 
24
M. Grossglauser and M. Vetterli. Locating Nodes with Ease: Last Encounter Routing in Ad Hoc Networks through Mobility Diffusion. In Proc. of IEEE INFOCOM, 2003.
25
26