Pregled bibliografske jedinice broj: 716798
Energy Efficient and Quality-Driven Continuous Sensor Management for Mobile IoT Applications
Energy Efficient and Quality-Driven Continuous Sensor Management for Mobile IoT Applications // Proc. of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing
Miami (FL), Sjedinjene Američke Države, 2014. str. 397-406 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 716798 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Energy Efficient and Quality-Driven Continuous Sensor Management for Mobile IoT Applications
Autori
Skorin-Kapov, Lea ; Pripužić, Krešimir ; Marjanović, Martina ; Antonić, Aleksandar ; Podnar Žarko, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proc. of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing
/ - , 2014, 397-406
Skup
10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing
Mjesto i datum
Miami (FL), Sjedinjene Američke Države, 22.10.2014. - 25.10.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
mobile crowdsensing ; energy efficiency ; sensor management ; quality of service ; IoT ; cloud-based publish/subscribe
Sažetak
A novel class of mobile Internet of Things applications falls under the category of mobile crowdsensing, whereby large amounts of sensed data are collected and shared by mobile sensing and computing devices for the purposes of observing phenomena of common interest (e.g., traffic monitoring, environmental monitoring). Challenges arise with respect to collecting and managing sensor data in an energy- and bandwidth-efficient manner. In this paper we present a cloud-based system architecture centred around a publish/subscribe middleware interfaced with a quality-driven sensor management function, applicable for building mobile IoT applications. The architecture is designed so as to smartly manage and acquire sensor readings in order to satisfy global sensing coverage requirements, while obviating redundant sensor activity and consequently reducing overall system energy consumption. We evaluate the system using a proposed model for calculating bandwidth and energy savings. Model evaluation based on simulation results provides insight into the energy savings for different application requirements and geographical sensor distribution scenarios. Our results show that in certain identified cases, significant energy consumption reductions can be achieved utilizing the proposed architecture and sensor management scheme (as compared to a standard publish/subscribe approach), while maintaining overall global sensing quality level (in terms of required sensing coverage). Assumptions with regards to user distributions in urban areas are verified using an existing dataset reported in literature.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
FP7 OpenIoT
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Aleksandar Antonić
(autor)
Krešimir Pripužić
(autor)
Lea Skorin-Kapov
(autor)
Ivana Podnar Žarko
(autor)
Martina Antonić
(autor)