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Athanasios Kinalis
Researcher at Research Academic Computer Technology Institute
Publications - 21
Citations - 843
Athanasios Kinalis is an academic researcher from Research Academic Computer Technology Institute. The author has contributed to research in topics: Wireless sensor network & Efficient energy use. The author has an hindex of 14, co-authored 21 publications receiving 825 citations.
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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
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.
Proceedings ArticleDOI
Priority based adaptive coordination of wireless sensors and actors
TL;DR: This work presents a communication protocol that enables scalable, energy efficient and fault tolerant coordination while allowing to prioritize sensing tasks in situated wireless sensor and actor networks, and implements and evaluates the protocol using large scale simulation, showing its suitability in networks where sensor to actor and actor to actor coordination are important.
Proceedings ArticleDOI
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.