Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Division of Labour in Self-organised Groups
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites
AHS '08 Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems
Efficient multi-foraging in swarm robotics
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Aggregation behaviour as a source of collective decision in a group of cockroach-like-robots
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Self-organized routing for wireless microsensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 0.00 |
The perceived robustness of multi-agent systems is claimed to be one of the great benefits of distributed control, but centralised control dominates in space applications. We propose the use of market-based control to allocate tasks in a distributed satellite system. The use of an artificial currency allows us to take the capabilities, energy levels and location of individual satellites, as well as significant communication costs into account. Simulation is used to compare this approach to centralised allocation. We find the market-based system is more efficient and more robust to satellite failure, due to the adaptive allocation of tasks.