A Systematic Review of Shared Sensor Networks

Author:

Farias Claudio M. De1,Li Wei2,Delicato Flávia C.3,Pirmez Luci3,Zomaya Albert Y.4,Pires Paulo F.3,Souza José N. De5

Affiliation:

1. Federal University of Rio de Janeiro, Brazil

2. University of Sydney

3. Federal University of Rio de Janeiro

4. University of Sydney, NSW, Australia

5. Federal University of Ceará

Abstract

While Wireless Sensor Networks (WSNs) have been traditionally tasked with single applications, in recent years we have witnessed the emergence of Shared Sensor Networks (SSNs) as integrated cyber-physical system infrastructures for a multitude of applications. Instead of assuming an application-specific network design, SSNs allow the underlying infrastructure to be shared among multiple applications that can potentially belong to different users. On one hand, a potential benefit of such a design approach is to increase the utilization of sensing and communication resources, whenever the underlying network infrastructure covers the same geographic area and the sensor nodes monitor the same physical variables of common interest for different applications. On the other hand, compared with the existing application-specific design, the SSNs approach poses several research challenges with regard to different aspects of WSNs. In this article, we present a systematic literature survey on SSNs. The main goal of the article is to provide the reader with the opportunity to understand what has been done and what remains as open issues in this field, as well as which are the pivotal factors of this evolutionary design and how this kind of design can be exploited by a wide range of WSN applications.

Funder

Faculty of Engineering and IT Early Career Researcher scheme

Australian Research Council Discovery

Brazilian funding agencies CNPq and FAPERJ

The University of Sydney

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Cited by 36 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. An Edge AI Study for Human Action Recognition on Industry 4.0 Using Weightless Neural Networks;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

2. Designing an Evaluation Framework for IoT Environmental Monitoring Systems;Procedia Computer Science;2023

3. Research and Design of High-Fidelity Experimental Bed System for Wireless Sensor Network;Journal of Electrical and Computer Engineering;2022-04-18

4. Industry 4.0: Cloud–Assisted Internet of Things Applications and Challenges;Handbook of Smart Materials, Technologies, and Devices;2022

5. Congestion avoidance in wireless sensor network using software defined network;Computing;2021-09-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3