L
Leonard Barolli
Researcher at Fukuoka Institute of Technology
Publications - 1256
Citations - 11175
Leonard Barolli is an academic researcher from Fukuoka Institute of Technology. The author has contributed to research in topics: Wireless mesh network & Node (networking). The author has an hindex of 47, co-authored 1145 publications receiving 9969 citations. Previous affiliations of Leonard Barolli include Polytechnic University of Catalonia & Polytechnic University of Tirana.
Papers
More filters
Proceedings ArticleDOI
Emergency Broadcast Protocol for Inter-Vehicle Communications
TL;DR: This paper presents an emergency broadcast protocol designed for sensor inter-vehicle communications and based in geographical routing, and shows that the proposed protocol is more effective compared to existing inter- vehicle protocols.
Journal ArticleDOI
Towards a smart world and ubiquitous intelligence: A walkthrough from smart things to smart hyperspaces and UbicKids
TL;DR: The potential trends and related challenges toward the smart world and ubiquitous intelligence from smart things to smart spaces and then to smart hyperspaces are discussed and efforts in developing a smart hyperspace of ubiquitous care for kids, called UbicKids are shown.
Proceedings ArticleDOI
Ad Hoc and Neighborhood Search Methods for Placement of Mesh Routers in Wireless Mesh Networks
TL;DR: Ad hoc and neighborhood search methods for optimal placement of mesh routers as more powerful methods for achieving near optimal placements of mesh router nodes are considered.
Journal ArticleDOI
JXTA-Overlay: A P2P Platform for Distributed, Collaborative, and Ubiquitous Computing
Leonard Barolli,Fatos Xhafa +1 more
TL;DR: The Juxtapose (JXTA)-Overlay is presented, which is a JXTA-based peer-to-peer (P2P) platform designed with the aim to leverage capabilities of Java, JxTA, and P2P technologies to support distributed and collaborative systems.
Journal ArticleDOI
Genetic algorithms for satellite scheduling problems
TL;DR: This paper presents some relevant formulations of the satellite scheduling viewed as a family of problems and identifies various forms of optimization objectives and focuses on the version of ground station scheduling, for which computational results obtained with Genetic Algorithms using the STK simulation toolkit are presented.