liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Router Node Placement in Wireless Mesh Networks for Emergency Rescue Scenarios
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3011-1505
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering. Jinan Univ, Peoples R China.
2019 (English)In: PRICAI 2019: TRENDS IN ARTIFICIAL INTELLIGENCE, PT II, SPRINGER INTERNATIONAL PUBLISHING AG , 2019, Vol. 11671, p. 496-509Conference paper, Published paper (Refereed)
Abstract [en]

The focus of this paper is on base functionalities required for UAV-based rapid deployment of an ad hoc communication infrastructure in the initial phases of rescue operations. The general idea is to use heterogeneous teams of UAVs to deploy communication kits that include routers. These kits will then be used in the generation of ad hoc Wireless Mesh Networks. A fundamental problem, known as the Router Node Placement problem (RNP) is to determine how one can optimally place such routers. An extended version of the RNP problem is specified that takes into account additional constraints that arise in actual field usage. This extended problem is solved with a new algorithm, RRT-WMN, based on a novel use of the Rapidly Exploring Random Trees (RRT) algorithm used in motion planning. A comparative empirical evaluation between RRT-WMN and existing techniques, CMA-ES and PSO, shows that the RRT-WMN algorithm has far better performance both in time and coverage as the extended RNP problem scales to realistic scenarios.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2019. Vol. 11671, p. 496-509
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743
Keywords [en]
Robotics; UAV deployed ad hoc networks; Wireless Mesh Networks; Router node placement; Emergency rescue
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-168857DOI: 10.1007/978-3-030-29911-8_38ISI: 000558157900038ISBN: 978-3-030-29911-8 (electronic)ISBN: 978-3-030-29910-1 (print)OAI: oai:DiVA.org:liu-168857DiVA, id: diva2:1466225
Conference
16th Pacific Rim International Conference on Artificial Intelligence (PRICAI)
Note

Funding Agencies|ELLIIT network organization for Information and Communication Technology; Swedish Foundation for Strategic ResearchSwedish Foundation for Strategic Research [RIT 15-0097]; Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation

Available from: 2020-09-11 Created: 2020-09-11 Last updated: 2020-09-11

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Wzorek, MariuszBerger, CyrilleDoherty, Patrick
By organisation
Artificial Intelligence and Integrated Computer SystemsFaculty of Science & Engineering
Computational Mathematics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 172 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf