Software Toolkits: Practical Aspects of the Internet of Things—A Survey

Author:

Wang Feng1,Hu Liang1,Zhou Jin2ORCID,Wu Yang1,Hu Jiejun1,Zhao Kuo1ORCID

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun 130012, China

2. College of Information Science and Technology, Bohai University, Jinzhou 121000, China

Abstract

The Internet of Things (IoT) is neither science fiction nor industry hype; rather it is based on solid technological advances and visions of network ubiquity that are zealously being realized. The paper serves to provide guidance regarding the practical aspects of the IoT. Such guidance is largely missing in the current literature in which the focus has been more on research problems and less on issues describing how to set up an IoT system and what software toolkits are required. This paper aims to bridge this gap by providing guidance in terms of the software toolkits that can be utilized by IoT practitioners and research students to set up a practical IoT system. The IoT is the combination of multiple techniques; a onefold technology cannot become the IoT. This is conducted in a multilayer approach that covers node and operating systems, middleware, databases, IoT energy harvesting method, and so forth. We hope that this survey serves to be useful to researchers and practitioners in practical aspects of IoT.

Funder

Seventh Framework Programme

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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1. Implementation of the SPECK Cipher Algorithm on Patient Blood Pressure Data Using the Internet of Things (IoT);7th International Conference on Sustainable Information Engineering and Technology 2022;2022-11-22

2. How Can Heterogeneous Internet of Things Build Our Future: A Survey;IEEE Communications Surveys & Tutorials;2018

3. Raspberry Pi as a Platform for the Internet of Things Projects;Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education;2017-06-28

4. A Stream Processing System for Multisource Heterogeneous Sensor Data;Journal of Sensors;2016

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