Team communication strategy for collaborative exploration by autonomous vehicles
2016 (English)In: 2016 IEEE International Conference on Communications, ICC 2016, IEEE conference proceedings, 2016Conference paper (Refereed)
Exploring a large area can be conveniently performed by a team of small autonomous vehicles for different applications, such as search and rescue, cleaning, or lawn mowing. The efficiency and performance of such autonomous exploration depends on the exploration algorithm implemented by the vehicles, and can be enhanced with a better communication and collaboration strategy within the team. In this paper, a new algorithm is proposed and evaluated where vehicles with a limited communication range pro-actively seek their teammates to exchange information about the explored area. Simulations show that this approach allows the vehicles to finish the exploration and return to their base station 18% faster, without consuming more energy.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2016.
Lawn mowers, Vehicles, Autonomous exploration, Autonomous Vehicles, Communication and collaborations, Efficiency and performance, Exploration algorithms, Limited communication range, Small autonomous vehicles, Team communication, Vehicle to vehicle communications
IdentifiersURN: urn:nbn:se:kth:diva-197160DOI: 10.1109/ICC.2016.7511087ScopusID: 2-s2.0-84981318294ISBN: 9781479966646OAI: oai:DiVA.org:kth-197160DiVA: diva2:1055830
2016 IEEE International Conference on Communications, ICC 2016, 22 May 2016 through 27 May 2016
QC 201612132016-12-132016-11-302016-12-13Bibliographically approved