Indriya2: A Heterogeneous Wireless Sensor Network (WSN) Testbed

Appavoo, Paramasiven; William, Ebram K.; Chan, Mun Choon; Mohammad, Mobashir

doi:10.1007/978-3-030-12971-2_1

Cited by 16 publications

(11 citation statements)

References 5 publications

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“…As a result, the Realtek RTL8710's primary role is to connect to personal Wi-Fi networks in a way similar to that of a Broadband modem or router and parallel operated with SIM technology [12]. You can send data once you have established a Wi-Fi connection and store in datasheet [13] and are further accesses through health database [14] using Realtek microcontroller chip. The concept of NODE RED [15] is used to tracking the health behavior of the employee within the industry.…”

Section: Heart Rate Sensormentioning

confidence: 99%

[Retracted] Health Monitoring of Employees for Industry 4.0

Ayyalraj

Balamurugan

Golie

2022

Journal of Nanomaterials

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On a daily basis, young agers engage in a range of activities. There are numerous things to do, such as attending class, participating in a group project, and going grocery shopping, to mention a few. If a student becomes ill, he or she must visit the clinic for treatment and a note of discharge. Researchers contribute using IoT to display health status in order to decrease the likelihood of becoming unwell. Young agers can use this tool to see if their pulse rates are normal or not. Young agers can see their pulse rate by using the IoT to display their health status. This tool will also assist pupils in reaching their full potential and improving their personal health by determining their optimum pulse rate. Young agers will always keep a healthy lifestyle in order to function in the society. This tool can also serve as a reminder to kids that good health is essential for survival. This method can be used to detect whether a person’s pulse rate is normal while exercising, according to the findings of this study. Such application can be applied in Industry 4.0 in order to evaluate young employee’s health condition to produce better industry outcome.

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Section: Heart Rate Sensormentioning

confidence: 99%

[Retracted] Health Monitoring of Employees for Industry 4.0

Ayyalraj

Balamurugan

Golie

2022

Journal of Nanomaterials

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“…The experiments in all the existing works on fine-grained frequency, are done only on locally developed testbeds consisting of fixed and small groups. In contrast, in the current work we extensively use publicly available WSN/IoT testbeds Indriya [32], FlockLab [33] and DCube [34] comprised of 44, 48 and 25 TelosB motes, respectively.…”

Section: N-txmentioning

confidence: 99%

Fine-Grained Frequencies Meet Synchronous Transmission

Debadarshini¹,

Saha²

2021

Preprint

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<div>Fine-grained frequencies have been used in several recent works to enhance network throughput as well as combat Cross Technology Interference (CTI) issues in licence free ISM bands. We observe that synchronous communication based strategies, due to the scope of inter-frequency capture-effect, are inherently more capable of supporting in-parallel communication over multiple channels even when the Center Frequency Distance (CFD) of the channels are very low (<5 MHz). In this work, we pursue an in-depth study of how fine-grained frequencies can be used in conjunction with synchronous communication to extract the maximum benefit from a very narrow band of available frequencies (e.g., 2- 5 MHz) for in-parallel intra-group communication. In this direction, we propose a simple and efficient group formation strategy to automatically define groups in a given WSN/IoT network to boost up in-parallel intra-group communication efficiency. Through extensive experimental evaluations in existing WSN/IoT testbeds, we show that in-parallel one-to-all dissemination in the groups formed through the proposed strategy can execute with upto 73% higher reliability while consuming upto 41% lower energy as compared to the same running among the groups formed through naive strategy with only 4 consecutive frequencies separated by 1 MHz and upto 20 groups.</div>

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“…Testbeds enable prototyping and verifying distributed applications in large and realistic environments [12], [13], [14], [15]. They are sometimes deployed in smart cities [16], however they are usually limited to restricted and controlled areas [17]. Nevertheless, management and scheduling functionalities, which are usually implemented for testbeds, are strictly bound both to the specific deployment and to the sensor node operating system.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Verification of Symbolic Distributed Applications Through an Intelligent Monitoring Agent

Augello

Gaglio

et al. 2022

IEEE Access

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Wireless Sensor Networks (WSNs) represent a key component in emerging distributed computing paradigms such as IoT, Ambient Intelligence, and Smart Cities. In these contexts, the difficulty of testing, verifying, and monitoring applications in their intended scenarios ranges from challenging to impractical. Current simulators can only be used to investigate correctness at source code level and with limited accuracy. This paper proposes a system and a methodology to model and verify symbolic distributed applications running on WSNs. The approach allows to complement the distributed application code at a high level of abstraction in order to test and reprogram it, directly, on deployed network devices. The proposed intelligent architecture enables the execution of distributed applications and the verification of the supplied correctness conditions. This paper shows the feasibility of the proposed approach and its effectiveness even when networks include resource-constrained nodes with some sample applications and quantitative experiments measuring the overhead introduced by the monitoring operations. INDEX TERMSDistributed applications; Embedded Systems; Fault detection; Internet of Things; Knowledge based systems; Software monitoring; Wireless sensor networks;

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Indriya2: A Heterogeneous Wireless Sensor Network (WSN) Testbed

Cited by 16 publications

References 5 publications

[Retracted] Health Monitoring of Employees for Industry 4.0

[Retracted] Health Monitoring of Employees for Industry 4.0

Fine-Grained Frequencies Meet Synchronous Transmission

Modeling and Verification of Symbolic Distributed Applications Through an Intelligent Monitoring Agent

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