CSN: The Conceptually Manageable Sensor Network

Author:

Joe Woojin1ORCID,Lee Jonghyun2ORCID,Jeong Karpjoo3ORCID

Affiliation:

1. Department of Advanced Technology Fusion, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 143-701, Republic of Korea

2. Department of Computer Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 143-701, Republic of Korea

3. Department of Internet and Multimedia Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 143-701, Republic of Korea

Abstract

For the last decade, computer science and information technology have been rapidly expanding their application areas from computation and data processing inside computers to the real time monitoring and management of the real world outside computers. For those emerging applications such as Internet of Things, the flexible, scalable, and interoperable, collaborating sensor networks are crucial. In this paper, we present a sensor network system called the conceptually manageable sensor network (CSN). CSN is intended to support the conceptual management and integration of sensor networks and to provide well-defined and logical APIs for the facilitation of application development. The CSN design is based on the simple and intuitive conceptual model: sets and message queues. In order to minimize the system development efforts and to inherit the system quality of production level open source software, the CSN system is intentionally implemented as a set of extensions to the open source messaging system called ActiveMQ. We conducted some preliminary usability and performance tests for the current CSN implementation. For the usability test, we used data sets from a real world project for the energy-efficient management of Indoor Air Quality in subway stations. Both usability and performance tests showed promising results.

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review;Environmental Monitoring and Assessment;2021-01-15

2. Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review;International Journal of Environmental Research and Public Health;2020-07-09

3. A Data Stream-Based, Integrative Approach to Reliable and Easily Manageable Real Time Environmental Monitoring;International Journal of Distributed Sensor Networks;2015-12-01

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