Pregled bibliografske jedinice broj: 1016783
Assessing compression algorithms on IoT sensor nodes
Assessing compression algorithms on IoT sensor nodes // 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019. str. 913-918 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1016783 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Assessing compression algorithms on IoT sensor nodes
Autori
Guberović, Emanuel ; Krišto, Fran ; Krivić, Petar ; Čavrak, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics
/ - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019, 913-918
ISBN
978-953-233-098-4
Skup
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)
Mjesto i datum
Opatija, Hrvatska, 20.05.2019. - 24.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
IoT, compression
Sažetak
With the ever-growing presence of IoT devices in everyday applications, the sheer volume of data exchanged is increasing rapidly. Communication channels' bandwidth used in these applications often presents a bottleneck and limits the frequency at which data can be exchanged, making application of compression beforehand a viable approach. In this paper, we analyze some of the well known lossless compression algorithms capable of seamless integration as software modules on embedded devices used in (near) realtime applications. Low processing and memory resources available on them as well as unsteadiness of aforementioned communication channels were taken into consideration in algorithm selection. Attained compression ratio is evaluated on data harvested from smart meters, whilst time and energy consumed during processing were analyzed within a measurement framework purposefully built for this research. We show that considerable gains can be attained in the volume of data that can be sent from devices based on commonly used microcontrollers, with only a modest toll on time and overall energy used.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb