Summary
International Conference on Emerging Technologies for Communications
2022
Session Number:S2
Session:
Number:S2-2
Acquisition Delay Time Evaluation of Cloud-based Load Distribution Model in ICSN
Eishin Nagaoka, Ryohei Banno, Osamu Mizuno,
pp.-
Publication Date:2022/11/29
Online ISSN:2188-5079
Summary:
IoT services that allow sensor devices to autonomously collect data and send it to the cloud via gateways are expected for various services. In many cases, the service providers need to build their own sensor network and many sensors will place in a narrow area. To solve this problem, we have proposed the Information-Centric Network based wireless Sensor Network (ICSN) to provide multiple IoT services. Also, we have proposed the ICSN Platform (ICSNP) that provides the functions of executing IoT services in sink nodes. However, the number of requests increases due to the increasing number of services simultaneously at the sink node. It causes performance degradation due to rising processing load. Therefore, we have proposed the cloud-based load distribution model for applications to an environment of multiple IoT services. In this paper, we evaluated the acquisition delay time of sensor data by implementing the proposed model with actual hardware resources. As a result, the proposed method can reduce the acquisition delay time of sensor data compared to the conventional method even in an environment with many concurrently connected applications and short sensor data acquisition intervals.