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Self-maintained distributed tuples for field-based coordination in dynamic networks
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Proceedings of the 2004 ACM symposium on Applied computing table of contents
Nicosia, Cyprus
SESSION: Coordination models, languages and applications (CM) table of contents
Pages: 479 - 486  
Year of Publication: 2004
ISBN:1-58113-812-1
Authors
Marco Mamei  University of Modena and Reggio Emilia, Reggio Emilia, Italy
Franco Zambonelli  University of Modena and Reggio Emilia, Reggio Emilia, Italy
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 28,   Citation Count: 6
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ABSTRACT

Field-based coordination is a very promising approach for a wide range of application scenarios in modern dynamic networks. To implement such an approach, one can rely on distributed tuples injected in a network and propagated to form a distributed data structure to be sensed by application agents. However, to gain the full benefits from such a coordination approach, it is important to enable the distributed tuples to preserve their structures despite the dynamics of the network. In this paper, we show how a variety of self-maintained distributed tuple structures for field-based coordination can be easily programmed in the TOTA middleware. Several examples clarify the approach, and performance data is presented to verify its effectiveness.


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.

 
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E. Bonabeau, M. Dorigo, G. Theraulaz, "Swarm Intelligence", Oxford University Press, Oxford (UK) 1999.
 
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M. Mamei, L. Leonardi, F. Zambonelli, "Co-Fields: A Unifying Approach to Swarm Intelligence", 3rd International Workshop on Engineering Societies in the Agents World, Madrid (Sp), LNAI 2577, Springer Verlag, pp. 68--81, 2003.
 
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M. Mamei, F. Zambonelli, "Field-based Approaches to Adaptive Motion Coordination in Pervasive Computing Scenarios", Handbook of Algorithms for Mobile and Wireless Networking and Computing, CRC press, 2004. (to be published)
 
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R. Poor, "Embedded Networks: Pervasive, Low-Power, Wireless Connectivity", PhD Thesis, MIT, 2001.
 
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W. Shen, B. Salemi, P. Will, "Hormone-Inspired Adaptive Communication and Distributed Control for CONRO Self-Reconfigurable Robots", IEEE Trans. on Robotics and Automation 18(5): 1--12, 2002.
 
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The Sims, www.thesims.com


Collaborative Colleagues:
Marco Mamei: colleagues
Franco Zambonelli: colleagues