Name
Abstract | ||
|---|---|---|
Relay node (RN) placement is a challenging problem, specially in mobile ad hoc networks (MANETs) environments where the locations of the nodes are continuously changing. In this context we propose here a novel, modular and adaptable RN placement solution based on the joint maximization of the network connectivity and throughput. For that, we use a combination of particle swarm optimization (PSO) and model predictive control (MPC) inspired methodologies to drive the RN movements. In order to corroborate the validity and applicability of the approach we implement, deploy and test the proposed solution in a real MANET environment where the nodes are mobile robots. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-39324-7_29 | ADVANCES IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS: THE PAAMS COLLECTION |
Keywords | Field | DocType |
Relay node placement,PSO,MPC,MANET | Mobile ad hoc network,Particle swarm optimization,Computer science,Model predictive control,Throughput,Modular design,Relay,Maximization,Mobile robot,Distributed computing | Conference |
Volume | ISSN | Citations |
9662 | 0302-9743 | 2 |
PageRank | References | Authors |
0.44 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Magán-Carrión | 1 | 39 | 6.28 |
| Jose A. Camacho | 2 | 58 | 7.98 |
| Pedro García-Teodoro | 3 | 214 | 18.28 |
| Eduardo Feo Flushing | 4 | 57 | 7.30 |
| Gianni A. Di Caro | 5 | 721 | 51.79 |