scholarly journals Data Analytics in the Internet of Things: A Survey

2019 ◽  
Vol 20 (4) ◽  
pp. 607-630 ◽  
Author(s):  
Tausifa Jan Saleem ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
Use Cases ◽  
Future Research ◽  
The Internet ◽  
Iot Applications ◽  
Open Research ◽  
Comprehensive Survey ◽  
And Control ◽  
The Internet Of Things

The plethora of sensors deployed in Internet of Things (IoT) environments generate unprecedented volumes of data, thereby creating a data deluge. Data collected from these sensors can be used to comprehend, examine and control intricate environments around us, facilitating greater intelligence, smarter decision-making, and better performance. The key challenge here is how to mine out proficient information from such immense data. Copious solutions have been put forth to obtain valuable inferences and insights, however, these solutions are still in their developing stages. Moreover, conventional procedures do not address the surging analytical demands of IoT systems. Motivated to resolve this concern, this work investigates the key enablers for performing desired data analytics in IoT applications. A comprehensive survey on the identified key enablers including their role in IoT data analytics, use cases in which they have been applied and the corresponding IoT applications for the use cases is presented. Furthermore, open research challenges and future research opportunities are also discussed. This article can be used as a basis to foster advanced research in the arena of IoT data analytics.

scholarly journals A Comprehensive Survey on Resource Management in Internet of Things

2020 ◽  
Vol 4 ◽  
pp. 27-43
Author(s):  
Lokesh B Bhajantri ◽  
Gangadharaiah S.
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Resource Discovery ◽  
Future Research ◽  
The Internet ◽  
Management Processes ◽  
Efficient Resource ◽  
Comprehensive Survey ◽  
The Individual ◽  
The Internet Of Things

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.

scholarly journals Analysis of P4 and XDP for IoT Programmability in 6G and Beyond

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 605-622
Author(s):  
David Carrascal ◽  
Elisa Rojas ◽  
Joaquin Alvarez-Horcajo ◽  
Diego Lopez-Pajares ◽  
Isaías Martínez-Yelmo
Keyword(s):  
Internet Of Things ◽  
Software Defined Networking ◽  
Use Cases ◽  
Future Research ◽  
The Internet ◽  
Cpu Usage ◽  
Iot Devices ◽  
The Internet Of Things

Recently, two technologies have emerged to provide advanced programmability in Software-Defined Networking (SDN) environments, namely P4 and XDP. At the same time, the Internet of Things (IoT) represents a pillar of future 6G networks, which will be also sustained by SDN. In this regard, there is a need to analyze the suitability of P4 and XDP for IoT. In this article, we aim to compare both technologies to help future research efforts in the field. For this purpose, we evaluate both technologies by implementing diverse use cases, assessing their performance and providing a quick qualitative overview. All tests and design scenarios are publicly available in GitHub to guarantee replication and serve as initial steps for researchers that want to initiate in the field. Results illustrate that currently XDP is the best option for constrained IoT devices, showing lower latency times, half the CPU usage, and reduced memory in comparison with P4. However, development of P4 programs is more straightforward and the amount of code lines is more similar regardless of the scenario. Additionally, P4 has a lot of potential in IoT if a special effort is made to improve the most common software target, BMv2.

Big Data Analytics and Its Applications in IoT

2021 ◽  
pp. 146-158
Author(s):  
Shaila S. G. ◽  
Bhuvana D. S. ◽  
Monish L.
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Real Time ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Internet ◽  
Iot Applications ◽  
Maximum Benefit ◽  
The Internet Of Things ◽  
Achieve Maximum Benefit

Big data and the internet of things (IoT) are two major ruling domains in today's world. It is observed that there are 2.5 quintillion bytes of data created each day. Big data defines a very huge amount of data in terms of both structured and unstructured formats. Business intelligence and other application domains that have high information density use big data analytics to make predictions and better decisions to improve the business. Big data analytics is used to analyze a high range of data at a time. In general, big data and IoT were built on different technologies; however, over a period of time, both of them are interlinked to build a better world. Companies are not able to achieve maximum benefit, just because the data produced by the applications are not utilized and analyzed effectively as there is a shortage of big data analysts. For real-time IoT applications, synchronization among hardware, programming, and interfacing is needed to the greater extent. The chapter discusses about IoT and big data, relation between them, importance of big data analytics in IoT applications.

scholarly journals Object Authentication in the Context of the Internet of Things: A Survey

2020 ◽  
Author(s):  
Maha Saadeh ◽  
Azzam Sleit ◽  
Khair Eddin Sabri ◽  
Wesam Almobaideen
Keyword(s):  
Internet Of Things ◽  
Security Analysis ◽  
Future Research ◽  
The Internet ◽  
Key Generation ◽  
Process Characteristics ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
And Performance ◽  
The Internet Of Things

Internet of Things (IoT) is considered as the future of the Internet that connects billions of objects all together. Trusted communication between these objects is a crucial requirement for the wide deployment of IoT services. Consequently, effective authentication procedures should be applied between the communicating objects. This paper provides a comprehensive survey of object authentication in the IoT. The survey aims to direct future researchers in the field of IoT object authentication by delving into the details of authentication schemes and going through different comparisons. Comparisons are based on various criteria which include authentication process characteristics, the underlying architecture, key generation and distribution techniques, supporting IoT challenges, security analysis, and performance evaluation. Additionally, this survey highlights the main issues and challenges of IoT objects authentication and recommends future research directions.

scholarly journals Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3459
Author(s):  
Yuhong Li ◽  
Xiang Su ◽  
Aaron Yi Ding ◽  
Anders Lindgren ◽  
Xiaoli Liu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Software Defined Networking ◽  
Smart Devices ◽  
Future Research ◽  
The Internet ◽  
Flexible Control ◽  
Iot Applications ◽  
Iot Devices ◽  
Control And Management ◽  
The Internet Of Things

The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.

Applying the Internet of Things into Ecological Environmental Monitoring

2012 ◽  
Vol 198-199 ◽  
pp. 1755-1760 ◽  
Author(s):  
Guo Ping Zhou ◽  
Ya Nan Chen
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Software Design ◽  
Ecological Environment ◽  
Future Research ◽  
The Internet ◽  
Environment Monitoring ◽  
Carbon Dioxide Gas ◽  
Data Collection And Analysis ◽  
The Internet Of Things

Applying the Internet of Things (IOT) into ecological environmental monitoring is the goal of this paper. There are several advantages of the Internet of Things (IOT) applying in ecological environment monitoring. A hierarchical monitoring system is presented, including system architecture, hardware/software design, information flow and software implementation. In the end, using carbon dioxide gas in the atmosphere for experimental purposes, in data collection and analysis. Experiments showed that this system is capable of monitoring ecologica environment, which orientate the future research of forest ecosystem.

scholarly journals Applications of Blockchains in the Internet of Things: A Comprehensive Survey

2019 ◽  
Vol 21 (2) ◽  
pp. 1676-1717 ◽  
Author(s):  
Muhammad Salek Ali ◽  
Massimo Vecchio ◽  
Miguel Pincheira ◽  
Koustabh Dolui ◽  
Fabio Antonelli ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Comprehensive Survey ◽  
The Internet Of Things

scholarly journals Research of long radius technology for implementation of solutions of the Іnternet of things

Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
S. A. Zhezhkun ◽  
◽  
L. B. Veksler ◽  
S. M. Brezitsʹkyy ◽  
B. O. Tarasyuk
Keyword(s):  
Internet Of Things ◽  
Third Party ◽  
Security And Privacy ◽  
The Internet ◽  
Daily Lives ◽  
Advantages And Disadvantages ◽  
Iot Applications ◽  
Security Properties ◽  
Technical Features ◽  
The Internet Of Things

This article focuses on the analysis of promising technologies for long-range traffic transmission for the implementation of the Internet of Things. The result of the review of technical features of technologies, their advantages and disadvantages is given. A comparative analysis was performed. An analysis is made that in the future heterogeneous structures based on the integration of many used radio technologies will play a crucial role in the implementation of fifth generation networks and systems. The Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. Consequently, a wide variety of IoT applications have been developed and deployed using different IoT frameworks. An IoT framework is a set of guiding rules, protocols, and standards which simplify the implementation of IoT applications. The success of these applications mainly depends on the ecosystem characteristics of the IoT framework, with the emphasis on the security mechanisms employed in it, where issues related to security and privacy are pivotal. In this paper, we survey the security of the main IoT frameworks, a total of 8 frameworks are considered. For each framework, we clarify the proposed architecture, the essentials of developing third-party smart apps, the compatible hardware, and the security features. Comparing security architectures shows that the same standards used for securing communications, whereas different methodologies followed for providing other security properties.

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