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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.