Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/36965
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Type: Conference paper
Title: Broadcast in a MANET based on the beneficial area
Author: Xie, G.
Shen, H.
Citation: High performance computing : 5th International Symposium, ISHPC 2003, Tokio-Odaiba, Japan, October 20-22, 2003 : proceedings / Alex Veidenbaum ... [et al.] (eds.), pp. 360-367
Publisher: Springer
Publisher Place: Berlin
Issue Date: 2003
Series/Report no.: Lecture notes in computer science ; 2858.
ISBN: 3540203591
ISSN: 0302-9743
1611-3349
Conference Name: International Symposium on High Performance Computing (5th : 2003 : Tokyo, Japan)
Statement of
Responsibility: 
Gui Xie and Hong Shen
Abstract: Broadcasting is a common operation in mobile ad hoc networks (MANET). A straightforward approach to perform broadcast in such a mobile environment is by flooding, which will result in the so-called broadcast storm problem with serious redundant rebroadcasts, contentions and collisions. Many methods have been proposed to solve this problem, whose theoretical foundation is to prohibit the rebroadcast when the non-redundant transmission area, namely beneficial area, is too small. Its an open problem to compute the beneficial area for a receiving host when the number of the sending hosts reaches 3 or more. In this paper, we identify this problem by showing how rapidly the complexity of computing the beneficial area rises with respect to the number of sending hosts when a broadcast task is being performed. We propose an efficient approximation method to compute the beneficial area by recursively filling a grid matrix, which can approach the actual one at an arbitrary accuracy. Moreover, we statistically estimate the exponential relationship between the beneficial area and the number of sending hosts, from which we can assert with high possibility that the beneficial area would decrease to zero when the number of the sending hosts reaches six or more.
Description: The original publication is available at www.springerlink.com
RMID: 0020065797
DOI: 10.1007/b14207
Published version: http://www.springerlink.com/content/0c8wec6a4hgm9560/
Appears in Collections:Computer Science publications

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