Energetski učinkovito pružanje usluga u sustavu komunikacije stroja sa strojem

doctoral thesis

• Title (english): Energy efficient service provisioning in machine-to-machine systems
• Author: Pavle Skočir
• Mentor: Gordan Ježić (mentor)
• Committee member: Gordan Ježić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Telecommunications); Zagreb
• Defense date and country: 2018, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Telecommunications and Informatics
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

Sustav komunikacije stroja sa strojem i Internet stvari postaju sveprisutni, sa sve brojnijom primjenom u različitim domenama. Krajnji uređaji u sustavu na koje se spajaju senzori i aktuatori su često napajani baterijama, što olakšava njihovo postavljanje. Energetska učinkovitost je bitan čimbenik u takvom okružju. U ovoj disertaciji je predložen sustav za energetski učinkovito pružanje usluga s glavnom zadaćom raspoređivanja poslova od kojih se sastoje usluge na krajnje uređaje. Sustav predložen u disertaciji je usmjeren korisniku jer omogućuje upravljanje uslugama prema korisničkim potrebama. Time se omogućuje očuvanje energije jer se poslovi ne izvršavaju kad za njih ne postoji interes. Poslovi se raspoređuju na krajnje uređaje uzimajući u obzir vrijeme dostupnosti usluga koje je definirano kao vrijeme u kojem se usluga može izvoditi na barem jednom čvoru u sustavu. Znanstveni doprinos doktorskog rada je sadržan u sljedećem. Definiran je energetski model pružanja usluge u sustavu komunikacije stroja sa strojem, koji se sastoji od poslova opisanih parametrima relevantnim za izvođenje na krajnjim uređajima, proširen parametrom o potrošnji energije. Nadalje, specificirana je metrika za procjenu dostupnosti usluga. Konačno, implementiran je algoritam za raspoređivanje poslova u sustavu komunikacije stroja sa strojem s ciljem produljenja vremena dostupnosti usluga s višim prioritetom pri čemu se uzimaju u obzir raspoloživa energija i potrošnja energije uređaja. Prioritet usluga je uveden da bi korisnici mogli iskazati koje su im usluge značajnije u odnosu na druge.

Abstract (english)

Machine-to-Machine (M2M) systems and Internet of Things (IoT) are becoming ubiquitous, with numerous deployments spanning various domains. Sensors and actuators are attached to end devices that are often battery powered. This makes the deployment of M2M/IoT systems cable-free and hence less complex. Energy efficiency is an important aspect in such environments. This dissertation presents a system for energy efficient service provisioning with main assignment to allocate tasks which compose services to end devices. The system proposed in this dissertation is user-centric since it manages services according to user requirements. This enables energy conservation since tasks are not executed when there is no interest in their results. The tasks are allocated to end devices by taking into account service lifetime defined as the time in which a service can be executed on at least one node in the system. The scientific contributions of the dissertation are the following. Firstly, an energy model for service provisioning in M2M systems is defined consisting of tasks described by parameters relevant for their execution on end devices and extended by a parameter specifying energy consumption. Furthermore, metrics is specified for service lifetime evaluation. Finally, the algorithm is implemented for task allocation in M2M systems with a goal to extend lifetime of services with higher priority. Algorithm takes into account energy consumption on specific end devices and energy available to the devices in the system. Service priority is introduced as a parameter allowing users to express importance of each service.

• Keywords: sustav komunikacije stroja sa strojem; Internet stvari; pružanje usluga; energetska uˇcinkovitost; raspodjela poslova
• Keywords (english): Machine-to-Machine communication systems; Internet of Things; service provisioning; energy efficiency; task allocation
• Language: croatian
• URN:NBN: urn:nbn:hr:168:643867
• Study programme: Title: Electrical Engineering and Computing; Study programme type: university; Study level: postgraduate; Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
• Type of resource: Text
• Extent: 127 str. ; 30 cm.
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-04-01 16:39:59