ACM Home Page
Please provide us with feedback. Feedback
Message routing on potential-fields in forwarding-based DTNs
Full text PdfPdf (899 KB)
Source Conference On Ubiquitous Information Management And Communication archive
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication table of contents
Suwon, Korea
SESSION: Ad-hoc networks table of contents
Pages 185-193  
Year of Publication: 2009
ISBN:978-1-60558-405-8
Authors
Hideya Ochiai  The University of Tokyo
Hiroshi Esaki  The University of Tokyo
Sponsor
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 44,   Citation Count: 0
Additional Information:

abstract   references   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/10.1145/1516241.1516274
What is a DOI?

ABSTRACT

In delay (or disruption) tolerant networks(DTNs), the physical network is partitioned and the topology changes by node contacts. In most cases, there are no globally synchronized topology information available, which makes routing in DTNs challenging. To enable message routing without topology, we take potential-based routing(PBR) approach. We define potential-based message forwarding (PBMF) model and potential field construction method, which can be implemented in autonomously and distributed manner. We also discuss message overflow phenomenon, which should be considered in the deployment phase. This work assumes forwarding-based message delivery because of its lightweightness in delivery management. We developed a prototype system and evaluated (1) the behavior of potential-field and message delivery and (2) the model of message overflow. We also carried out a 100-node scale simulation and found that compared to epidemic routing, (3) about 50% of delivery was performed within three times of the best delivery latency and (4) the usage of message storage was reduced to 1%.


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
3
 
4
X. Chen and A. L. Murphy. Enabling disconnected transitive communication in mobile ad hoc networks. In ACM POMC, 2001.
5
6
 
7
Y. Ganjali and N. McKeown. Routing in a highly dynamic topology. In IEEE SECON, pages 164--175, 2005.
8
9
 
10
V. Lenders, M. May, and B. Plattner. Density-based vs. proximity-based anycast routing for mobile networks. In IEEE INFOCOM, pages 1--13, 2006.
 
11
A. Lindgren, A. Doria, and O. Schelen. Probabilistic routing in intermittently connected networks. Lecture Notes in Computer Science, 3126:239--254, sep 2004.
 
12
H. Liu, Z.-L. Zhang, J. Srivastava, and V. Firoiu. PWave: A multi-source multi-sink anycast routing framework for wireless sensor networks. Lecture Notes in Computer Science, 4479:179--190, nov 2007.
 
13
G. Malkin. RFC2453: Rip version 2, 1998.
 
14
J. Moy. RFC2328: Ospf version 2, 1998.
15
 
16
C. Perkins, E. Belding-Royer, and S. Das. RFC1058: Ad hoc on-demand distance vector (aodv) routing, 2003.
 
17
18
 
19
T. Spyropoulos, T. Turletti, and K. Obraczka. Utility-based message replication for intermittently connected heterogeneous networks. In IEEE WoWMoM, 2007.
 
20
A. Vahdat and D. Becker. Epidemic routing for partially-connected ad hoc networks. Technical report, Duke University, 2000.

Collaborative Colleagues:
Hideya Ochiai: colleagues
Hiroshi Esaki: colleagues