Spatial sampling methods for improved communication for wireless relay robots

Nattanmai Parasuraman, Ramviyas and Fabry, Thomas and Kershaw, Keith and Ferre Pérez, Manuel (2013). Spatial sampling methods for improved communication for wireless relay robots. In: "2013 International Conference on Connected Vehicles and Expo (ICCVE)", 02/12/2013 - 06/12/2013, Las Vegas, USA. ISBN 978-1-4799-2491-2. pp. 874-880. https://doi.org/10.1109/ICCVE.2013.6799919.

Description

Title: Spatial sampling methods for improved communication for wireless relay robots
Author/s:
  • Nattanmai Parasuraman, Ramviyas
  • Fabry, Thomas
  • Kershaw, Keith
  • Ferre Pérez, Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2013 International Conference on Connected Vehicles and Expo (ICCVE)
Event Dates: 02/12/2013 - 06/12/2013
Event Location: Las Vegas, USA
Title of Book: 2013 International Conference on Connected Vehicles and Expo (ICCVE)
Date: 2013
ISBN: 978-1-4799-2491-2
Subjects:
Freetext Keywords: Networked mobile robots, multi-hop wireless communication, gradient search, spatial diversity
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Having reliable wireless communication in a network of mobile robots is an ongoing challenge, especially when the mobile robots are given tasks in hostile or harmful environments such as radiation environments in scientific facilities, tunnels with large metallic components and complicated geometries as found at CERN. In this paper, we propose a decentralised method for improving the wireless network throughput by optimizing the wireless relay robot position to receive the best wireless signal strength using implicit spatial diversity concepts and gradient-search algorithms. We experimentally demonstrate the effectiveness of the proposed solutions with a KUKA Youbot omni-directional mobile robot. The performance of the algorithms is compared under various scenarios in an underground scientific facility at CERN.

More information

Item ID: 30890
DC Identifier: http://oa.upm.es/30890/
OAI Identifier: oai:oa.upm.es:30890
DOI: 10.1109/ICCVE.2013.6799919
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6799919
Deposited by: Memoria Investigacion
Deposited on: 28 Oct 2014 15:45
Last Modified: 24 Feb 2017 15:01
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