Paper Info
Title
Optimal Parameters of Nonstatistical Sensor Data Aggregation Minimizing Latency in IoT Gateway
Abstract
A data aggregation function in Internet-of-Things (IoT) systems summarizes a large amount of small segments of sensor data, and is effective for saving limited communication resources such as radio frequency and sensor node energy. In a previous study, we analyzed two fundamental statistical data aggregation schemes-constant interval and constant number schemes-and derived the Laplace-Stieltjes transforms of the system time and latency distributions for each scheme. Moreover, we derived simple and accurate estimation formulae for the optimal aggregation interval and number. In this paper, we analyze nonstatistical data aggregation with the constant number scheme. We analytically derive the Laplace-Stieltjes transforms and the averages of the system time and latency distributions. We find that the average latency can be minimized by tuning the traffic intensity in the transmission process that depends on the aggregation number, arrival rate, and transmission time of the data unit. Based on the clarified characteristics, we derive estimation formulae for the optimal aggregation number and optimal latency according to the traffic intensity that minimizes the average latency. Our main contribution is the theoretical basis for further research on the performance evaluation and design of communication devices, such as IoT gateways, which will be essential to realize latency-critical IoT applications.
Year
DOI
Venue
2019
10.1109/GLOBECOM38437.2019.9014120
IEEE Global Communications Conference
Keywords
DocType
ISSN
sensor data,nonstatistical aggregation,IoT,optimization,latency analysis,communication traffic
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Hideaki Yoshino112.08
Kenko Ota211.40
Takefumi Hiraguri34915.58