Pregled bibliografske jedinice broj: 767929
Data Filtering in Context-Aware Multi-Agent System for Machine-to-Machine Communication
Data Filtering in Context-Aware Multi-Agent System for Machine-to-Machine Communication // Smart innovation, systems and technologies, 38 (2015), 41-51 doi:10.1007/978-3-319-19728-9_4 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 767929 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Data Filtering in Context-Aware Multi-Agent System for Machine-to-Machine Communication
(Data Filtering in Context-Aware Multi-agent System for Machine-to-Machine Communication)
Autori
Skočir, Pavle ; Maračić, Hrvoje ; Kušek, Mario ; Ježić, Gordan
Izvornik
Smart innovation, systems and technologies (2190-3018) 38
(2015);
41-51
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
energy efficiency ; data filtering ; machine-to-machine system
Sažetak
Energy efficiency is an important aspect of Machine-to-Machine (M2M) systems since large number of devices is not connected to unlimited power supply. To tackle this problem, in our context-aware multi-agent system for M2M communication devices are in low-energy mode whenever they do not have any tasks to perform. Context information is exchanged between devices so that each device knows when other devices will be available for communication. On each device in the system, agents are deployed which exchange context information and adjust their wake-up times. In this paper we focus on decreasing energy consumption of M2M Devices which collect measurement data and forward it to back-end system. A filtering algorithm is developed to find repetitive data and to increase the interval for the next transmission. We assumed that when data values are similar to the previously observed values, it is not necessary to forward them to the gateway and back-end system so often. This approach was implemented on Libelium Waspmote devices and showed significant decrease in energy consumption during the period of 24 hours.
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
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus