Experimental Environments for the Internet of Things: A Review

Lima, Luis Eduardo; Kimura, Bruno Yuji Lino; Rosset, Valério

doi:10.1109/jsen.2019.2894127

“…This problem necessitates the creation of a comprehensive simulation modeling framework for the implementation of IoT applications. As a result, the authors emphasize the necessity for research into an effective modeling environment that can capture IoT applications' physical layer (sensor), actuators, and computational logic aspects [14] . The study [15] focuses on the difficulties during the simulation procedure.…”

Section: Literature Reviewmentioning

confidence: 99%

A Survey of Simulation Tools for Modelling Internet of Thing

Rashid

¹

,

Sharif²,

Shreef

³

2022

PJBAS

0

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The Internet of Things (IoT) is a revolutionary technology that has shifted lifestyle from traditional to high-tech. Many critical research studies and investigations have been conducted to improve technology through IoT. IoT has a vast range of applications in many fields such as the military, healthcare, agriculture, and education. The physical and virtual resources used by the IoT applications include: processor, memory, power consumption, storage usage, network bandwidth, sensor nodes, protocols, or algorithms used in processing and encryption. IoT Simulation tools are the base stone for developing, designing, and evaluating new IoT products before deployment in their target area or environment. It needs good testing and evaluation, which can be done through various simulation tools. This paper explains some of the most popular simulators for IoT research that are currently available. The article is mainly concerned with different simulation tools used in other IoT areas and compared nine simulation tools based on scope, type, programming language, IoT architecture layers, the scale of operation, API integration, cyber resilience simulation, target space, and security measures. Furthermore, the paper provides an excellent discussion; based on the operability of the IoT environment and application simulations and the many other issues, such as selecting a viable simulation for a specific context. In addition, the paper will analyze and compare existing simulation tools, focusing on the most important standard for evaluating IoT simulation tools. By the end, the review simulation tools were discussed.

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“…An interconnection of visual sensor nodes (sensor nodes with attached camera) is known as visual sensor network (VSN) [13,14] or as wireless multimedia sensor network (WMSN) [15,16]. Wearable visual sensors may also be a part of the Internet of things (IoT) [17][18][19][20][21]. Low-cost IoT wearable sensors [22] enable a wide range of activities for the benefit of society, e.g., hazard avoidance systems for worker safety [23], navigation aids for visually impaired individuals [24], activity monitoring [25], smart irrigation [26], and sports [27].…”

Section: Motivationmentioning

confidence: 99%

Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors

Tausif

¹

,

Khan

²

,

Hasan

³

et al. 2020

Advances in Multimedia

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This paper proposes and evaluates the LFrWF, a novel lifting-based architecture to compute the discrete wavelet transform (DWT) of images using the fractional wavelet filter (FrWF). In order to reduce the memory requirement of the proposed architecture, only one image line is read into a buffer at a time. Aside from an LFrWF version with multipliers, i.e., the LFr WF m , we develop a multiplier-less LFrWF version, i.e., the LFr WF ml , which reduces the critical path delay (CPD) to the delay T a of an adder. The proposed LFr WF m and LFr WF ml architectures are compared in terms of the required adders, multipliers, memory, and critical path delay with state-of-the-art DWT architectures. Moreover, the proposed LFr WF m and LFr WF ml architectures, along with the state-of-the-art FrWF architectures (with multipliers (Fr WF m ) and without multipliers (Fr WF ml )) are compared through implementation on the same FPGA board. The LFr WF m requires 22% less look-up tables (LUT), 34% less flip-flops (FF), and 50% less compute cycles (CC) and consumes 65% less energy than the Fr WF m . Also, the proposed LFr WF ml architecture requires 50% less CC and consumes 43% less energy than the Fr WF ml . Thus, the proposed LFr WF m and LFr WF ml architectures appear suitable for computing the DWT of images on wearable sensors.

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“…Also, the authors have analyzed few security solutions such as Intelligent Security Framework, Chaos-based Privacy Preservation, etc. In [26], the authors offered the review of currently available testbeds like MoteLab, ORBIT, Trio, Indriya, Flocklab, Sensorscope, TWIST, etc. for WSN and IoT applications.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on System Level Aspects of Internet of Things (IoT)

Swamy

¹

,

Raju

²

2020

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Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and Communication technologies. The purpose of the IoT is to provide seamless services to anything, anytime at any place. IoT technologies play a crucial role everywhere, which brings the fourth revolution of disruptive technologies after the internet and Information and Communication Technology (ICT). The Research & Development community has predicted that the impact of IoT will be more than the internet and ICT on society, which improves the wellbeing of society and industries. Addressing the predominant system-level design aspects like energy efficiency, robustness, scalability, interoperability, and security issues result in the use of a potential IoT system. This paper presents the current state of art of the functional pillars of IoT and its emerging applications to motivate academicians and researches to develop real-time, energy-efficient, scalable, reliable, and secure IoT applications. This paper summarizes the architecture of IoT, with the contemporary status of IoT architectures. Highlights of the IoT system-level issues to develop more advanced real-time IoT applications have been discussed. Millions of devices exchange information using different communication standards, and interoperability between them is a significant issue. This paper provides the current status of the communication standards and application layer protocols used in IoT with the detailed analysis. The computing paradigms like Cloud, Cloudlet, Fog, and Edge computing facilitate IoT with various services like data offloading, resource and device management, etc. In this paper, an exhaustive analysis of Edge Computing in IoT with different edge computing architectures and existing status are deliberated. The widespread adoption of IoT in society has resulted in privacy and security issues. This paper emphasizes on analyzing the security challenges, privacy and security threats, conventional mitigation techniques, and further scope for IoT security. The features like fewer memory footprints, scheduling, real-time task execution, fewer interrupt, and thread switching latency of Real-Time Operating Systems (RTOS) enables the development of time critical IoT applications. Also, this review offers the analysis of the RTOS's suitable for IoT with the current status and networking stack. Finally, open research issues in IoT system development are discussed.

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Experimental Environments for the Internet of Things: A Review

Cited by 24 publications

References 23 publications

A Survey of Simulation Tools for Modelling Internet of Thing

A Survey of Simulation Tools for Modelling Internet of Thing

Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors

An Empirical Study on System Level Aspects of Internet of Things (IoT)

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