S
Sotiris Nikoletseas
Researcher at University of Patras
Publications - 294
Citations - 4681
Sotiris Nikoletseas is an academic researcher from University of Patras. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 38, co-authored 281 publications receiving 4387 citations. Previous affiliations of Sotiris Nikoletseas include Research Academic Computer Technology Institute.
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Journal ArticleDOI
Energy balanced data propagation in wireless sensor networks
TL;DR: The fact that direct (expensive) transmissions to the sink are needed only rarely, shows that the proposed protocol, besides energy-balanced, is also energy efficient.
Proceedings ArticleDOI
Sink mobility protocols for data collection in wireless sensor networks
TL;DR: This work proposes four characteristic mobility patterns for the sink along with different data collection strategies and demonstrates that by taking advantage of the sink's mobility, it can significantly reduce the energy spent in relaying traffic and thus greatly extend the lifetime of the network.
Journal ArticleDOI
Efficient data propagation strategies in wireless sensor networks using a single mobile sink
TL;DR: This work proposes four characteristic mobility patterns for the sink that it combines with different data collection strategies and demonstrates that by taking advantage of the sinks mobility and shifting work from sensors to the powerful sink, it can significantly reduce the energy spent in relaying traffic and thus greatly extend the lifetime of the network.
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.
Journal ArticleDOI
Full Length Article: Biased sink mobility with adaptive stop times for low latency data collection in sensor networks
TL;DR: This work proposes a biased, adaptive sink mobility scheme, that adjusts to local network conditions, such as the surrounding density, remaining energy and the number of past visits in each network region, that achieves significantly reduced latency, especially in networks with non-uniform sensor distribution.