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9th International Conference on Body Area Networks

Research Article

A smartphone-centric approach for integrating heterogeneous sensor networks

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/icst.bodynets.2014.257007,
        author={Gianluca Aloi and Giuseppe Caliciuri and Giancarlo Fortino and Pasquale Pace},
        title={A smartphone-centric approach for integrating heterogeneous sensor networks},
        proceedings={9th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2014},
        month={11},
        keywords={smartphone mobile-healthcare body sensors networks environmental monitoring},
        doi={10.4108/icst.bodynets.2014.257007}
    }
    
  • Gianluca Aloi
    Giuseppe Caliciuri
    Giancarlo Fortino
    Pasquale Pace
    Year: 2014
    A smartphone-centric approach for integrating heterogeneous sensor networks
    BODYNETS
    ACM
    DOI: 10.4108/icst.bodynets.2014.257007
Gianluca Aloi1, Giuseppe Caliciuri1, Giancarlo Fortino1, Pasquale Pace1,*
  • 1: University of Calabria
*Contact email: ppace@dimes.unical.it

Abstract

Modern communication scenarios are increasingly based on Common “on the market” smartphones in which several radio interfaces can be activated to acquire data coming from different environmental, health and lifestyle sensors; however, the fully compatibility and integration into a unified Multi- Standard, Multi-Interface and Multi-Technology communication framework (Multi SITCOM), is still a challenging issue to be addressed. Looking at the evolving present day context, the main contribution of this work is twofold: i) first, we design and implement a general smartphone centric, high-level, unified and extendible software architecture for data sensor collection, processing and forwarding ii) then, we evaluate the feasibility of the proposed architecture, throughout a specific test-bed, by measuring system performances in terms of energy consumption, CPU and memory usage. The obtained results validated the soundness of the proposed approach presenting a low usage of hardware resources (CPU load ≈ 14% and memory occupancy ≈ 45MB) even if, the major consumption introduced by the radio interfaces and the low capacity of current batteries, significantly reduce the smartphone lifetime.

Keywords
smartphone mobile-healthcare body sensors networks environmental monitoring
Published
2014-11-21
Publisher
ICST
http://dx.doi.org/10.4108/icst.bodynets.2014.257007
Copyright © 2014–2025 ICST
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