CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

A variant of the multi-agent rendezvous problem

Peter Hegarty (Institutionen för matematiska vetenskaper, matematik) ; Anders Martinsson (Institutionen för matematiska vetenskaper) ; Dmitrii Zhelezov (Institutionen för matematiska vetenskaper)

The classical multi-agent rendezvous problem asks for a deterministic algorithm by which $n$ points scattered in a plane can move about at constant speed and merge at a single point, assuming each point can use only the locations of the others it sees when making decisions and that the visibility graph as a whole is connected. In time complexity analyses of such algorithms, only the number of rounds of computation required are usually considered, not the amount of computation done per round. In this paper, we consider $\Omega(n^2 \log n)$ points distributed independently and uniformly at random in a disc of radius $n$ and, assuming each point can not only see but also, in principle, communicate with others within unit distance, seek a randomised merging algorithm which asymptotically almost surely (a.a.s.) runs in time $O(n)$, in other words in time linear in the radius of the disc rather than in the number of points. Under a precise set of assumptions concerning the communication capabilities of neighboring points, we describe an algorithm which a.a.s. runs in time $O(n)$ provided the number of points is $o(n^3)$. Several questions are posed for future work.

Nyckelord: Multi-agent rendezvous, random geometric graph, randomized algorithm

Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2013-06-26. Senast ändrad 2013-08-15.
CPL Pubid: 179257


Läs direkt!

Länk till annan sajt (kan kräva inloggning)

Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematik (2005-2016)
Institutionen för matematiska vetenskaperInstitutionen för matematiska vetenskaper (GU)


Informations- och kommunikationsteknik
Diskret matematik
Sannolikhetsteori och statistik
Datorseende och robotik (autonoma system)
Annan data- och informationsvetenskap

Chalmers infrastruktur