Pregled bibliografske jedinice broj: 920504
Energy efficient service provisioning in Machine- to-Machine systems
Energy efficient service provisioning in Machine- to-Machine systems // ConTEL 2017 PhD Forum – Book of Abstracts / Dobrijević, Ognjen ; Džanko, Matija (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 23-24 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 920504 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Energy efficient service provisioning in Machine- to-Machine systems
Autori
Skočir, Pavle ; Ježić, Gordan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
ConTEL 2017 PhD Forum – Book of Abstracts
/ Dobrijević, Ognjen ; Džanko, Matija - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017, 23-24
ISBN
978-953-184-228-0
Skup
14th International Conference on Telecommunications – ConTEL 2017
Mjesto i datum
Zagreb, Hrvatska, 28.06.2017
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
energy efficiency, service provisioning, task allocation
Sažetak
Internet of Things (IoT) systems have become ubiquitous, with many deployments spanning various domains. In settings where IoT devices are battery powered, energy-efficiency is an important aspect that needs to be taken into account. One of the key concerns is the fact that data from IoT devices is often sent in streams even when users do not have a need or interest for it. In our energy-efficient approach, the system is designed in a user- centric way, enabling control of IoT devices according to user needs or user-defined rules, thus conserving the energy when no interest in IoT data is expressed. Furthermore, the proposed system enables data analysis in the fog, and deciding on the node where it is more energy- efficient to perform analysis tasks. In the system more services can be executed on one IoT device, and decision on the best allocation is made with a goal to prolong the lifetime of services with higher priority. The results show how the allocation mechanism which takes advantage of the aforementioned features increases the lifetime of prioritized services.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-8065 - Komunikacije usmjerene čovjeku u pametnim mrežama (HUTS) (Matijašević, Maja, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb