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Discrete Applied Mathematics
Volume 155, Issue 2, 15 January 2007, Pages 150-160
29th Symposium on Mathematical Foundations of Computer Science MFCS 2004
 
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doi:10.1016/j.dam.2006.04.035    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

Agent-based randomized broadcasting in large networksstar, open

Robert Elsässera, E-mail The Corresponding Author, Ulf Lorenza and Thomas Sauerwalda

aInstitute for Computer Science, University of Paderborn, Fürstenallee 11, D-33102 Paderborn, Germany

Received 4 October 2004; 
revised 1 October 2005; 
accepted 20 April 2006. 
Available online 11 July 2006.

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Abstract

Mobile agents are software abstractions that can migrate across the links of a network. They naturally extend the object oriented program style and nicely correspond to agents as examined in game theory. In this paper, we introduce a simple, robust, and efficient randomized broadcast protocol within this mobile agent programming paradigm. We show that by using this scheme, broadcasting enquiries in a random graph of certain density O(lnn) steps, where n denotes the number of nodes in the graph. Then, we consider bounded degree graphs and prove that we are able to distribute an information among all nodes in O(D) steps, where D denotes the diameter of the graph. We also show that, in contrast to traditional randomized broadcasting (TRB), graphs exist in which agent-based randomized broadcasting requires Ω(n2) steps. On the other hand, some graphs which require Ω(nlnn) steps to spread the information in the traditional broadcast model, allow very fast agent-based broadcasting. It should be noted that the previously mentioned results are guaranteed with probability 1-o(1/n).

Keywords: Random graphs; Random walks; Mobile agents

Article Outline

1. Introduction
1.1. Specific background
1.2. Related work
1.3. Our results
2. Information spreading in random graphs
3. Information spreading in bounded degree graphs
4. Best-case and worst-case graphs
5. Conclusion
Acknowledgements
References

Discrete Applied Mathematics
Volume 155, Issue 2, 15 January 2007, Pages 150-160
29th Symposium on Mathematical Foundations of Computer Science MFCS 2004
 
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