ACM Home Page
Please provide us with feedback. Feedback
Improving route discovery in on-demand routing protocols using local topology information in MANETs
Full text PdfPdf (118 KB)
Source International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks table of contents
Terromolinos, Spain
SESSION: Performance analysis table of contents
Pages: 95 - 99  
Year of Publication: 2006
ISBN:1-59593-502-9
Authors
M. Bani Yassein  University of Glasgow, Glasgow, U.K.
M. Ould Khaoua  University of Glasgow, Glasgow, U.K.
L. M. Mackenzie  University of Glasgow, Glasgow, U.K.
S. Papanastasiou  University of Glasgow, Glasgow, U.K.
A. Jamal  University of Glasgow, Glasgow, U.K.
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 58,   Citation Count: 3
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/10.1145/1163653.1163671
What is a DOI?

ABSTRACT

Most existing routing protocols proposed for MANETs use flooding as a broadcast technique for the propagation of network control packets; a particular example of this is the dissemination of route requests (RREQs), which facilitate route discovery. In flooding, each mobile node rebroadcasts received packets, which, in this manner, are propagated network-wide with considerable overhead. This paper improves on the performance of existing routing protocols by reducing the communication overhead incurred during the route discovery process by implementing a new broadcast algorithm called the adjusted probabilistic flooding on the Ad-Hoc on Demand Distance Vector (AODV) protocol. AODV [3] is a well-known and widely studied algorithm which has been shown over the past few years to maintain an overall lower routing overhead compared to traditional proactive schemes, even though it uses flooding to propagate RREQs. Our results, as presented in this paper, reveal that equipping AODV with fixed and adjusted probabilistic flooding, instead, helps reduce the overhead of the route discovery process whilst maintaining comparable performance levels in terms of saved rebroadcasts and reachability as achieved by conventional AODV\@. Moreover, the results indicate that the adjusted probabilistic technique results in better performance compared to the fixed one for both of these metrics


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
J. Cartigny and D. Simplot. Border node retransmission based probabilistic broadcast protocols in ad-hoc networks. Telecommunication Systems, 22(1-4):189--204, 2003.
 
2
L. M. M. M. Bani Yassein, M. Ould-Khaoua and S. Papanastasiou. Improving the performance of probabilistic flooding in manets. In Proceedings of International Workshop on Wireless Ad-hoc Networks (IWWAN-2005), May 2005.
 
3
L. M. M. M. Bani-Yassein, M. Ould~Khaoua and S. Papanastasiou. Applications of highly adjusted probabilistic broadcasting in manets. In Proceedings of the 4th International Multiconference on Computer Science and Information Technology CSIT 2006, pages 469--476, April 2006.
 
4
L. M. M. M. Bani-Yassein, M. Ould-Khaoua and S. Papanastasiou. Performance analysis of adjusted probabilistic broadcasting in mobile ad hoc networks. International Journal of Wireless Information Networks, pages 1--14, March 2006. Springer Netherlands.
 
5
 
6
 
7
8
 
9
D. C. Y. Sasson and A. Schiper. Probabilistic broadcast for flooding in wireless mobile ad hoc networks. Technical Report IC/2002/54, EPFL, 2002.
 
10


Collaborative Colleagues:
M. Bani Yassein: colleagues
M. Ould Khaoua: colleagues
L. M. Mackenzie: colleagues
S. Papanastasiou: colleagues
A. Jamal: colleagues