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Theofanis P. Raptis

Researcher at National Research Council

Publications -  77
Citations -  1133

Theofanis P. Raptis is an academic researcher from National Research Council. The author has contributed to research in topics: Wireless & Wireless sensor network. The author has an hindex of 18, co-authored 65 publications receiving 868 citations. Previous affiliations of Theofanis P. Raptis include Research Academic Computer Technology Institute & University of Patras.

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Journal ArticleDOI

Distributed wireless power transfer in sensor networks with multiple Mobile Chargers

TL;DR: Four new protocols for efficient charging are proposed, addressing key issues which are identified, most notably (i) what are good coordination procedures for the Mobile Chargers and (ii) what is good trajectories for the mobile Chargers.
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Data Management in Industry 4.0: State of the Art and Open Challenges

TL;DR: In this paper, a survey of the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future is presented, motivated by the rich conclusions of this critical analysis, and select interesting open challenges for future research.
Journal ArticleDOI

Wireless energy transfer in sensor networks with adaptive, limited knowledge protocols

TL;DR: Three new, alternative protocols for efficient charging are proposed, addressing key issues which are identified, most notably to what extent each sensor should be charged, and what is the best split of the total energy between the charger and the sensors.
Journal ArticleDOI

Hierarchical, collaborative wireless energy transfer in sensor networks with multiple Mobile Chargers

TL;DR: This work enhances the collaborative feature by forming a hierarchical charging structure, and proposes and implements four new collaborative charging protocols for 2-D networks, in order to achieve efficient charging and improve important network properties.
Proceedings ArticleDOI

Efficient energy management in wireless rechargeable sensor networks

TL;DR: This work provides a formal definition of the charging dispatch decision problem and proves its computational hardness, and proposes a Mobile Charging Protocol that locally adapts the circular trajectory of the MC to the energy dissipation rate of each sub-region of the network.