scispace - formally typeset
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
More filters
Book ChapterDOI

Strong orientations of planar graphs with bounded stretch factor

TL;DR: Three constructions for orientations with minimum number of arcs and such that they produce a digraph with bounded stretch factor have applications into the problem of establishing strongly connected sensor network when sensors are equipped with directional antennae.
Proceedings Article

Domino tilings of orthogonal polygons.

TL;DR: If all of the sides of a simple orthogonal polygon without holes have odd lengths, then it cannot be tiled by dominoes, and similar characterizations are provided for Orthogonal polygons with sides of arbitrary length.
Book ChapterDOI

Optimal Online and Offline Algorithms for Robot-Assisted Restoration of Barrier Coverage

TL;DR: In this article, the authors study the problem of barrier coverage by stationary wireless sensors that are assisted by a mobile robot with the capacity to move sensors, and give an optimal linear-time offline algorithm that gives a minimum-length trajectory for a robot that starts at one end of the barrier and achieves the restoration of barrier covering.

Positioning of Wireless Sensor Nodes in the Presence of Liars

TL;DR: This work analyzes the problem of unaware nodes determining their location in the presence of misbehaving neighboring nodes that provide false data during the execution of the positioning process and provides algorithms that enable the location-unaware nodes to determine their coordinates in presence of these adversaries.
Journal ArticleDOI

Gathering in the plane of location-aware robots in the presence of spies

TL;DR: Efficient algorithms for collections of robots known to contain at most one faulty robot are given, when the proportion of byzantine robots is known to be less than one half or one third, and algorithms with small constant competitive ratios are proposed.