Abstract | ||
---|---|---|
Swarming without positioning information is interesting in application-oriented systems because it alleviates the need for
sensors which are dependent on the environment, expensive in terms of energy, cost, size and weight, or unusable at useful
ranges for real-life scenarios. This principle is applied to the development of a swarm of micro air vehicles (SMAVs) for
the deployment of ad hoc wireless communication networks (SMAVNETs) between ground users in disaster areas. Rather than relying
on positioning information, MAVs rely on local communication with immediate neighbors and proprioceptive sensors which provide
heading, speed and altitude.
To solve the challenging task of designing agent controllers to achieve the swarm behavior of the SMAVNET, inspiration is
taken from army ants which are capable of laying and maintaining pheromone paths leading from their nest to food sources in
nature. This is analogous to the deployment of communication pathways between multiple ground users. However, instead of being
physically deposited in the air or on a map, pheromone is virtually deposited on the MAVs using local communication. This
approach is investigated in 3D simulation in a simplified scenario with two ground users. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/s11721-008-0013-5 | Swarm intelligence |
Keywords | Field | DocType |
Swarm intelligence,Swarming without positioning,Micro air vehicles (MAVs),Communication relay,Army ants,Pheromone robotics,Situated communication | Wireless,Software deployment,Swarm behaviour,Computer science,Simulation,Swarm intelligence,Swarming (honey bee),Real-time computing,Artificial intelligence,Machine learning,Relay | Journal |
Volume | Issue | ISSN |
2 | 2-4 | 1935-3820 |
Citations | PageRank | References |
20 | 1.07 | 25 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sabine Hauert | 1 | 91 | 8.20 |
Laurent Winkler | 2 | 20 | 1.07 |
Jean-Christophe Zufferey | 3 | 467 | 46.55 |
Dario Floreano | 4 | 3400 | 284.98 |