Pregled bibliografske jedinice broj: 493711
An Energy Efficient Multimodal Wireless Video Sensor Network with eZ430-RF2500 modules
An Energy Efficient Multimodal Wireless Video Sensor Network with eZ430-RF2500 modules // The 5th International Conference on Pervasive Computing and Applications : conference proceedings / Yan, Jingzhi ; Li, Xiaowei ; Debevc, Matjaž ; Tjoa, A Min ; Hu, Bo (ur.).
Lanzhou: Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 493711 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Energy Efficient Multimodal Wireless Video Sensor Network with eZ430-RF2500 modules
Autori
Jeličić, Vana ; Magno, Michele ; Brunelli, Davide ; Bilas, Vedran ; Benini, Luca
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The 5th International Conference on Pervasive Computing and Applications : conference proceedings
/ Yan, Jingzhi ; Li, Xiaowei ; Debevc, Matjaž ; Tjoa, A Min ; Hu, Bo - Lanzhou : Institute of Electrical and Electronics Engineers (IEEE), 2010, 1-6
ISBN
978-1-4244-142-1
Skup
International Conference on Pervasive Computing and Applications (5 ; 2010)
Mjesto i datum
Maribor, Slovenija, 01.12.2010. - 03.12.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Wireless Video Sensor Network; Multimodal Network; Multitier Network; PIR Sensor; Energy Modeling
Sažetak
In video surveillance there is an ever-growing demand for heavily distributed radio cooperating objects that Wireless Sensor Networks (WSNs) can satisfy. We present a preliminary study of an energy efficient multimodal WVSN using a main node deciding which camera to trigger based on the information from a Pyroelectric InfraRed (PIR) network. The evaluation of the proposed approach against the solution with PIRs onboard shows significantly reduced cameras’ ON-time, enabling network lifetime prolongation up to 75%. Furthermore, including cameras’ available energy in wake-up rules, which would be significant for the networks comprising a photovoltaic power source, augments additionally the system’s lifetime. The performance of our approach is evaluated in MATLAB simulation.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0361621-1625 - Inteligentni sustavi za mjerenje teško mjerljivih veličina (Bilas, Vedran, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb