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Communicating effectively in resource-constrained multi-agent systems.

Communicating effectively in resource-constrained multi-agent systems.
Communicating effectively in resource-constrained multi-agent systems.
Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can create performance bottlenecks by consuming valuable bandwidth. Therefore, there is a tradeoff between the utility attained by communication and its cost. Here we address this tradeoff by developing a novel strategy to make communication selective based on information redundancy; ensuring communication only occurs when necessary, while maintaining acceptable coordination. We apply this strategy to a state-of-the-art communication protocol to evaluate its resource saving benefit in a distributed network routing problem. Furthermore we design a mechanism to adapt its selectivity level to the prevailing resource constraints to ensure further improvements. Empirical studies show our selective strategy achieves relative savings in bandwidth usage of 50-90% with only a 5-10% relative reduction in coordination effectiveness and the adaptive strategy further improves relative bandwidth usage by up to 10% and also relative coordination effectiveness by up to 12% over the non-adaptive approach.
1269-1274
Dutta, P.S.
573e4782-1998-41d9-aa83-921bb4238b1c
Goldman, C.
b87374c4-eb83-48a5-9bcf-684446ec7d30
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Dutta, P.S.
573e4782-1998-41d9-aa83-921bb4238b1c
Goldman, C.
b87374c4-eb83-48a5-9bcf-684446ec7d30
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Dutta, P.S., Goldman, C. and Jennings, N. R. (2007) Communicating effectively in resource-constrained multi-agent systems. 20th Int. Joint Conf. on AI (IJCAI),, Hyderabad, India. pp. 1269-1274 .

Record type: Conference or Workshop Item (Paper)

Abstract

Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can create performance bottlenecks by consuming valuable bandwidth. Therefore, there is a tradeoff between the utility attained by communication and its cost. Here we address this tradeoff by developing a novel strategy to make communication selective based on information redundancy; ensuring communication only occurs when necessary, while maintaining acceptable coordination. We apply this strategy to a state-of-the-art communication protocol to evaluate its resource saving benefit in a distributed network routing problem. Furthermore we design a mechanism to adapt its selectivity level to the prevailing resource constraints to ensure further improvements. Empirical studies show our selective strategy achieves relative savings in bandwidth usage of 50-90% with only a 5-10% relative reduction in coordination effectiveness and the adaptive strategy further improves relative bandwidth usage by up to 10% and also relative coordination effectiveness by up to 12% over the non-adaptive approach.

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Published date: 2007
Venue - Dates: 20th Int. Joint Conf. on AI (IJCAI),, Hyderabad, India, 2007-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 263072
URI: http://eprints.soton.ac.uk/id/eprint/263072
PURE UUID: 058126f3-1e60-477e-8e04-27fd082854b1

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Date deposited: 06 Oct 2006
Last modified: 14 Mar 2024 07:24

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Contributors

Author: P.S. Dutta
Author: C. Goldman
Author: N. R. Jennings

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