Swarm quadrotor robots for telecommunication network coverage area expansion in disaster area

M. Sakti Alvissalim, Big Zaman, Z. Ahmad Hafizh, M. Anwar Ma'sum, Grafika Jati, Wisnu Jatmiko, Petrus Mursanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Citations (Scopus)

Abstract

Countries such as Indonesia and Japan are prone to disasters. Telecommunication infrastructure are often damaged as a result of disasters, while reliable communication link is vital in search and rescue operation following a disaster. To overcome this problem, we developed swarm quadrotor robots capable of self-deployment and extending the coverage of available Wi-Fi network. Since most hand-held devices now has Wi-Fi connectivity, most device can join the network the quadrotors created. The quadrotor robot is based on Parrot ARDrone quadrotor with Wi-Fi adapters and added GPS module. This research focuses only on the self-deployment movement algorithm of the quadrotors which is based on Takahashi's distributed self-deployment algorithm. The implementation of routing protocol will be done in the next step of the research.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages2256-2261
Number of pages6
ISBN (Print)9781467322591
Publication statusPublished - 1 Jan 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 20 Aug 201223 Aug 2012

Publication series

NameProceedings of the SICE Annual Conference

Conference

Conference2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period20/08/1223/08/12

Keywords

  • disaster robots
  • mobile robot sensor network
  • quadrotor

Fingerprint Dive into the research topics of 'Swarm quadrotor robots for telecommunication network coverage area expansion in disaster area'. Together they form a unique fingerprint.

Cite this