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Storing Location-Aware Data in Mobile Distributed Systems

Authors: Daniel Urda; Ciprian Dobre; Florin Pop;

Storing Location-Aware Data in Mobile Distributed Systems

Abstract

Smart mobile phones have become a common sight and every day new uses are found for them beyond their original scope of allowing voice communication between remote peers. Nevertheless, mobility limits the features a smart-phone is able to provide in areas such as storage space and data communication costs. This paper proposes a solution for storing location-aware data in a medium composed of fixed points (workstations), wireless access points and smart-phone applications. The proposed system uses context information (location, neighbors) and techniques specific for opportunistic computing to provide an efficient management of the available data. The paper concentrates on the specific problem of using smart devices to provide a feasible satellite navigation system based on high resolution raster maps. An evaluation of the system's performance is provided based on a custom simulator.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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