Summary
Asia-Pacific Network Operations and Management Symposium
2022
Session Number:PS1
Session:
Number:PS1-09
Implementation and Node Load Evaluation of Cloud-based Load Distribution Model in ICSN
Eishin Nagaoka, Ryohei Banno, Osamu Mizuno,
pp.-
Publication Date:2022/09/28
Online ISSN:2188-5079
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Summary:
Sensor networks to autonomously collect data and send it to the cloud via gateways are expecting for providing various IoT services. In many cases, the service providers need to build their own sensor network and many sensors to measure same data will place in a narrow area. To solve this problem, we have proposed an Information-Centric Networking based wireless Sensor Network (ICSN) to provide multiple IoT services. Also, we have proposed an ICSN Platform (ICSNP) that provides the functions of executing IoT services in sink nodes. However, the number of requests increases due to 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 application to an environment of multiple IoT services. In this paper, we evaluated the node load focusing on the sensor data acquisition interval by implementing the proposed model. As a result, the proposed method can reduce the load on the sink node compared to the conventional method even in an environment with many concurrently connected applications and short sensor data acquisition intervals. Therefore, the relationship between the acquisition interval and load in actual operation are indicated.