Abstract
Recent years, trend of researches in ad-hoc networks are routing, multicasting and optimized flooding. Focusing on data flooding in ad-hoc networks, proposed scenarios of common researches are limited due to lack of scalability. If there are lots of communication originators, it is obvious that wireless resources are inapplicable. In this study, our typical scenario is that a mobile ad-hoc network is deployed in a city area and many shops, such as shopping malls and restaurants, disseminate their commercial advertisements to the network. This paper points out the lack of scalability issues considering existing IP flooding schemes and proposes a novel application flooding scheme supporting automatic data size adaptation. In this scheme, size of flooded data is dynamically sampled depending on network congestion level so that data can be delivered in a scalable manner to all nodes using MANET.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 240-253 |
| Number of pages | 14 |
| Volume | 3837 LNCS |
| DOIs | |
| Publication status | Published - 2005 |
| Event | 1st Asian Internet Engineering Conference, AINTEC 2005 - Bangkok, Thailand Duration: 2005 Dec 13 → 2005 Dec 15 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3837 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 1st Asian Internet Engineering Conference, AINTEC 2005 |
|---|---|
| Country | Thailand |
| City | Bangkok |
| Period | 05/12/13 → 05/12/15 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
An adaptive application flooding for efficient data dissemination in dense ad-hoc networks. / Oyabu, Yuki; Wakikawa, Ryuji; Murai, Jun.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3837 LNCS 2005. p. 240-253 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3837 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An adaptive application flooding for efficient data dissemination in dense ad-hoc networks
AU - Oyabu, Yuki
AU - Wakikawa, Ryuji
AU - Murai, Jun
PY - 2005
Y1 - 2005
N2 - Recent years, trend of researches in ad-hoc networks are routing, multicasting and optimized flooding. Focusing on data flooding in ad-hoc networks, proposed scenarios of common researches are limited due to lack of scalability. If there are lots of communication originators, it is obvious that wireless resources are inapplicable. In this study, our typical scenario is that a mobile ad-hoc network is deployed in a city area and many shops, such as shopping malls and restaurants, disseminate their commercial advertisements to the network. This paper points out the lack of scalability issues considering existing IP flooding schemes and proposes a novel application flooding scheme supporting automatic data size adaptation. In this scheme, size of flooded data is dynamically sampled depending on network congestion level so that data can be delivered in a scalable manner to all nodes using MANET.
AB - Recent years, trend of researches in ad-hoc networks are routing, multicasting and optimized flooding. Focusing on data flooding in ad-hoc networks, proposed scenarios of common researches are limited due to lack of scalability. If there are lots of communication originators, it is obvious that wireless resources are inapplicable. In this study, our typical scenario is that a mobile ad-hoc network is deployed in a city area and many shops, such as shopping malls and restaurants, disseminate their commercial advertisements to the network. This paper points out the lack of scalability issues considering existing IP flooding schemes and proposes a novel application flooding scheme supporting automatic data size adaptation. In this scheme, size of flooded data is dynamically sampled depending on network congestion level so that data can be delivered in a scalable manner to all nodes using MANET.
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UR - http://www.scopus.com/inward/citedby.url?scp=33745438406&partnerID=8YFLogxK
U2 - 10.1007/11599593_18
DO - 10.1007/11599593_18
M3 - Conference contribution
AN - SCOPUS:33745438406
SN - 3540308849
SN - 9783540308843
VL - 3837 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 240
EP - 253
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -