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Energy-aware and quality-driven sensor management for green mobile crowd sensing


Marjanović, Martina; Skorin-Kapov, Lea; Pripužić, Krešimir; Antonić, Aleksandar; Podnar Žarko, Ivana
Energy-aware and quality-driven sensor management for green mobile crowd sensing // Journal of network and computer applications, 59 (2016), 95-108 doi:10.1016/j.jnca.2015.06.023 (međunarodna recenzija, članak, znanstveni)


Naslov
Energy-aware and quality-driven sensor management for green mobile crowd sensing

Autori
Marjanović, Martina ; Skorin-Kapov, Lea ; Pripužić, Krešimir ; Antonić, Aleksandar ; Podnar Žarko, Ivana

Izvornik
Journal of network and computer applications (1084-8045) 59 (2016); 95-108

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Mobile crowd sensing ; Internet of Things ; energy-aware system

Sažetak
Mobile Crowd Sensing (MCS) is a novel class of Internet of Things applications which exploits the inherent mobility of wearable sensors and mobile devices to observe phenomena of common interest, typically over large geographical areas (e.g. trac conditions, air pollution, noise in urban areas). Since MCS applications generate large amounts of sensed data which is collected and preprocessed by devices with limited energy supply, challenges arise with respect to sensor management to ensure an energy-aware and quality-driven data acquisition process. In this paper we present a framework for Green Mobile Crowd Sensing (G-MCS) which utilizes a quality-driven sensor management function to continuously select the k-best sensors for a prede ned sensing task. Our G-MCS solution utilizes a cloud-based architecture centered around a publish/subscribe communication model to enable the interaction of mobile devices with the cloud for energy-aware MCS. In particular, it obviates redundant sensor activity while satisfying sensing coverage requirements and sensing quality, and consequently reduces the overall energy consumption of an MCS application. We present a model for G-MCS and evaluate its energy savings for di erent application requirements and geographical sensor distribution scenarios. Furthermore, our model evaluation on a real data set shows that in certain identi ed cases, signi cant energy consumption reductions can be achieved by utilizing the proposed framework, which opens the door for green solutions within the area of MCS applications.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-8065 - Komunikacije usmjerene čovjeku u pametnim mrežama (Maja Matijašević, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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