Milan Erdelj

dblp:79/9528 · DBLP profile ↗
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6ranked-venue papers
5as first author
0since 2021 · last 2019
0000-0001-7931-5942ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 4 first-authorSystems, architecture and hardware · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 67% Wireless networking · 33%
Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › mobile ad hoc networks
connectivity maintenance
0.212013
Covering Points of Interest with Mobile Sensors · IEEE Trans. Parallel Distributed Syst. 2013
Internet of things and sensor networks
mobile sensor networks
0.212013
Covering Points of Interest with Mobile Sensors · IEEE Trans. Parallel Distributed Syst. 2013
Internet of things and sensor networks › wireless sensor network
sensor deployment
0.212013
Covering Points of Interest with Mobile Sensors · IEEE Trans. Parallel Distributed Syst. 2013
Computational geometry › geometric graph › proximity graphs
relative neighborhood graph
0.012013
Covering Points of Interest with Mobile Sensors · IEEE Trans. Parallel Distributed Syst. 2013

Methods — techniques the papers use, named apart from their topics

simulation · 0.3analytical modeling · 0.3
YearPublicationVenuePosition
2019 UAVs that fly forever: Uninterrupted structural inspection through automatic UAV replacement
Milan Erdelj, Osamah Saif, Enrico Natalizio, Isabelle Fantoni
Ad Hoc Networks1
2017 Wireless Sensor Networks and Multi-UAV systems for natural disaster management
Milan Erdelj, Michal Król, Enrico Natalizio
Comput. Networks1
2017 Spread and shrink: Point of interest discovery and coverage with mobile wireless sensors
Tahiry Razafindralambo, Milan Erdelj, Dimitrios Zorbas, Enrico Natalizio
J. Parallel Distributed Comput.2
2013 Multiple point of interest discovery and coverage with mobile wireless sensors
Milan Erdelj, Valeria Loscrì, Enrico Natalizio, Tahiry Razafindralambo
Ad Hoc Networks1
2013 Covering Points of Interest with Mobile Sensors
abstract
The coverage of Points of Interest (PoI) is a classical requirement in mobile wireless sensor applications. Optimizing the sensors self-deployment over a PoI while maintaining the connectivity between the sensors and the base station is thus a fundamental issue. This paper addresses the problem of autonomous deployment of mobile sensors that need to cover a predefined PoI with a connectivity constraint. In our algorithm, each sensor moves toward a PoI but has also to maintain the connectivity with a subset of its neighboring sensors that are part of the Relative Neighborhood Graph (RNG). The Relative Neighborhood Graph reduction is chosen so that global connectivity can be provided locally. Our deployment scheme minimizes the number of sensors used for connectivity thus increasing the number of monitoring sensors. Analytical results, simulation results and practical implementation are provided to show the efficiency of our algorithm.
Milan Erdelj, Tahiry Razafindralambo, David Simplot-Ryl
IEEE Trans. Parallel Distributed Syst.1
2011 Points of Interest Coverage with Connectivity Constraints Using Wireless Mobile Sensors
Milan Erdelj, Tahiry Razafindralambo, David Simplot-Ryl
Networking (1)1