research unit 1

This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit


Type of publication:Article
Entered by:chita
TitleBiased Sink Mobility with Adaptive Stop Times for Low Latency Data Collection in Sensor Networks
Bibtex cite IDRACTI-RU1-2012-20
Journal Information Fusion Journal (IFJ)
Year published 2012
Volume Localized Algori
ISSN 1566-2535
Collecting sensory data using a mobile data sink has been shown to drastically reduce energy consumption at the cost of increasing delivery delay. Towards improved energy-latency trade-offs, we propose 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. The sink moves probabilistically, favoring less visited areas in order to cover the network area faster, while adaptively stopping more time in network regions that tend to produce more data. We implement and evaluate our mobility scheme via simulation in diverse network settings. Compared to known blind random, non-adaptive schemes, our method achieves significantly reduced latency, especially in networks with nonuniform sensor distribution, without compromising the energy efficiency and delivery success.
Kinalis, Athanasios
Nikoletseas, Sotiris
Patroumpa, Dimitra
Rolim, Jose
globecom09.pdf (main file)
Publication ID968