IoT Resource Access and Management

Author:

Abstract

In most existing IoT applications, IoT resources are not fully open and shared with “silo” utilization solutions. Although IoT resources are constructed based on semantic models, it is still necessary to establish a resource management platform to support automatic resource access, resource discovery, resource lifecycle management, and resource utilization. This chapter presents an IoT resource management characteristics that can be used to address these issues. Physical systems and devices are connected to the resource accessing utility using a two-layer method, which involves recognizing/installing physical communication drivers and composing communication protocols. A hierarchical mapping method is used to build graphical IoT resource models, helping users to quickly and correctly specify IoT resources and deploy them. A resource platform based on the resource management characteristics is provided to support resource storage, updating, lookup, utilization, and so on.

Publisher

IGI Global

Reference47 articles.

1. Sense and sens′ability: Semantic data modelling for sensor networks.;P.Barnaghi;Conference Proceedings of ICT Mobile Summit,2009

2. Bermudez, L. (2008). OGC Ocean science interoperability experiment: Phase 1 report. OGC Engineering Report, 8-124.

3. Bermudez, L., Delory, E., O’Reilly, T., & del Rio Fernandez, J. (2009). Ocean observing systems demystified. OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, 1-7.

4. Bimschas, D., Hesmann, H., Hauswirth, M., Karnstedt, M., . . . Truong, C. (2011). Semantic-service provisioning for the Internet of Things. Electronic Communications of the EASST, 37, 1-12.

5. Botts, M., & Robin, A. (2007). OpenGIS® sensor model language (SensorML) implementation specification (Version 1.0.0). Open Geospatial Consortium Inc.

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