DocumentCode
2496014
Title
Reducing Broadcast Redundancy in Wireless Ad Hoc Networks
Author
Khabbazian, Majid ; Bhargava, Vijay K.
Author_Institution
Univ. of British Columbia, Vancouver
fYear
2007
fDate
26-30 Nov. 2007
Firstpage
769
Lastpage
774
Abstract
Reducing the number of redundant transmissions is one of the main objectives of efficient broadcast algorithms for wireless ad hoc networks. There are many localized broadcast algorithms proposed to reduce the number of transmissions. However, they do not guarantee a reasonable bound on the number of transmissions in the worst case. In fact, the common belief is that localized broadcast algorithms are not able to guarantee both full delivery and a good bound on the number of transmissions. In this paper, we propose the first localized broadcast algorithm that guarantees full delivery and a constant approximation ratio to the minimum number of required transmissions in the worst case. The proposed broadcast algorithm is a self-pruning algorithm based on 1-hop neighbor information. Our experimental results confirm the analytical analysis of the algorithm and show a significant reduction in the number of transmissions and end-to-end latency compared to one of the best broadcast algorithms based on 1-hop neighbor information.
Keywords
ad hoc networks; radio broadcasting; telecommunication network reliability; 1-hop neighbor information; broadcast redundancy; constant approximation ratio; end-to-end latency; localized broadcast algorithm; redundant transmissions; self-pruning algorithm; wireless ad hoc networks; Ad hoc networks; Algorithm design and analysis; Approximation algorithms; Broadcasting; Delay; Floods; Information analysis; Mobile ad hoc networks; Network topology; Routing protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1042-2
Electronic_ISBN
978-1-4244-1043-9
Type
conf
DOI
10.1109/GLOCOM.2007.149
Filename
4411059
Link To Document