Title :
Congestion-aware data acquisition for Internet of Things
Author :
Yue Pan ; Yue Li ; Junxing Zhang
Author_Institution :
Sch. of Comput. Sci., Inner Mongolia Univ., Huhhot, China
Abstract :
In this paper, a data acquisition scheme that is reactive to network congestion is proposed for Internet of Things (IoT). It adjusts data acquisition rates according to the congestion level in a distributed manner, thereby alleviating and avoiding congestion as much as possible. It also makes its best effort to deliver information of high priorities in a timely manner and ensure uninterrupted sensing. Our experiments demonstrate that the scheme offers a much higher delivery rate of the high-priority data compared with the original scheme when the network undergoes different levels of congestion.
Keywords :
Internet of Things; data acquisition; Internet of Things; IoT; congestion avoidance; congestion-aware data acquisition; network congestion; Adaptation models; Detectors; Logic gates; Repeaters; Internet of things; TCP; congestion control; data acquisition;
Conference_Titel :
Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on
Print_ISBN :
978-1-4799-4765-2
DOI :
10.1109/CCIOT.2014.7062521