Name
Title | ||
|---|---|---|
Evolved swarming without positioning information: an application in aerial communication relay |
Abstract | ||
|---|---|---|
In most swarm systems, agents are either aware of the position of their direct neighbors or they possess a substrate on which they can deposit information (stigmergy). However, such resources are not always obtainable in real-world applications because of hardware and environmental constraints. In this paper we study in 2D simulation the design of a swarm system which does not make use of positioning information or stigmergy.This endeavor is motivated by an application whereby a large number of Swarming Micro Air Vehicles (SMAVs), of fixed-wing configuration, must organize autonomously to establish a wireless communication network (SMAVNET) between users located on ground. Rather than relative or absolute positioning, agents must rely only on their own heading measurements and local communication with neighbors.Designing local interactions responsible for the emergence of the SMAVNET deployment and maintenance is a challenging task. For this reason, artificial evolution is used to automatically develop neuronal controllers for the swarm of homogenous agents. This approach has the advantage of yielding original and efficient swarming strategies. A detailed behavioral analysis is then performed on the fittest swarm to gain insight as to the behavior of the individual agents. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s10514-008-9104-9 | Autonomous Robots |
Keywords | Field | DocType |
evolved swarming,smavnet deployment,swarm system,absolute positioning,artificial evolution,local interaction,local communication,wireless communication network,swarm intelligence · swarming without positioning · micro air vehicles mavs · communication relay · artificial evolution · situated communication · smavnet,positioning information,swarming micro air vehicles,fittest swarm,aerial communication,swarm intelligence,wireless communication,behavior analysis | Software deployment,Wireless,Evolutionary algorithm,Evolutionary robotics,Swarm behaviour,Computer science,Simulation,Swarm intelligence,Stigmergy,Relay | Journal |
Volume | Issue | ISSN |
26 | 1 | 0929-5593 |
Citations | PageRank | References |
50 | 2.41 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabine Hauert | 1 | 91 | 8.20 |
| Jean-Christophe Zufferey | 2 | 467 | 46.55 |
| Dario Floreano | 3 | 3400 | 284.98 |