E
Evangelos Kranakis
Researcher at Carleton University
Publications - 515
Citations - 10789
Evangelos Kranakis is an academic researcher from Carleton University. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 46, co-authored 502 publications receiving 10330 citations. Previous affiliations of Evangelos Kranakis include Purdue University & Carleton College.
Papers
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Book ChapterDOI
Optimal memory rendezvous of anonymous mobile agents in a unidirectional ring
TL;DR: A new algorithm is presented which solves the rendezvous problem for any non-periodic distribution of agents on the ring using a new space optimal deterministic algorithm allowing effective recognition of the symmetric case.
Book ChapterDOI
Evacuation from a disc in the presence of a faulty robot
Jurek Czyzowicz,Konstantinos Georgiou,Maxime Godon,Evangelos Kranakis,Danny Krizanc,Wojciech Rytter,Michał Włodarczyk +6 more
TL;DR: This work considers the evacuation problem on a circle for three robots, at most one of which is faulty, and the goal is to minimize the time that the latest non-faulty robot reaches the exit.
Journal ArticleDOI
Distributed algorithms for barrier coverage using relocatable sensors
Mohsen Eftekhari,Evangelos Kranakis,Danny Krizanc,Oscar Morales-Ponce,Lata Narayanan,Jaroslav Opatrny,Sunil M. Shende +6 more
TL;DR: The first two distributed algorithms that achieve barrier coverage for a line segment barrier when there are enough nodes in the network to cover the entire barrier are given.
Book ChapterDOI
Maintaining Connectivity in Sensor Networks Using Directional Antennae
TL;DR: This work surveys recent algorithms and study trade-offs on the maximum angle, sum of angles, maximum range, and the number of antennae per sensor for the problem of establishing strongly connected networks of sensors.
Proceedings ArticleDOI
Detecting intra-enterprise scanning worms based on address resolution
TL;DR: An anomaly-based detection technique detailing a method to detect propagation of scanning worms within individual network cells, thus protecting internal networks from infection by internal clients.