Towards the Optimal RF Sensing Strategy for IoT Applications: An Ice Sensing Case Study

10.36227/techrxiv.14958174 ◽

2021 ◽

Author(s):

Mahmoud Wagih ◽

Junjie Shi

Keyword(s):

Future Internet ◽

Thickness Measurement ◽

Sensory Response ◽

Iot Applications ◽

Time Sensitivity ◽

Highly Sensitive ◽

Ice Detection ◽

Architecture And Design ◽

Highly Sensitive Sensors ◽

Rf Sensing

Remote ice detection has recently emerged as an application of Radio Frequency (RF) sensors. While RF sensing is a feasible approach used for detecting various stimuli, the optimal system architecture and design strategy for RF-based sensing in future Internet of Things (IoT) systems remains unclear. In this paper, we propose a systematic methodology for designing an RF-based sensing system, applicable to a plethora of IoT applications. The proposed methodology is used to design printable antennas as highly-sensitive sensors for detecting and measuring the thickness of ice, demonstrating best-in-class sensory response. Antenna design is investigated systematically for wireless interrogation in the 2.4 GHz band, to support a variety of IoT protocols. Following the proposed methodology, the antenna's realized gain was identified as the optimum parameter-under-test. The developed loop antenna sensor exhibits a high linearity, resilience to interference, and applicability to different real-world deployment environments, demonstrated through over 90% average ice thickness measurement accuracy and at least 5 dB real-time sensitivity to ice deposition.

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Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

Complex & Intelligent Systems ◽

10.1007/s40747-021-00434-6 ◽

2021 ◽

Author(s):

Karan Bajaj ◽

Bhisham Sharma ◽

Raman Singh

Keyword(s):

High Speed ◽

Smart Cities ◽

Fog Computing ◽

Edge Computing ◽

Computation Offloading ◽

Performance Parameters ◽

Iot Applications ◽

Time Sensitivity ◽

Implementation Analysis ◽

Increasing Demand

AbstractThe Internet of Things (IoT) applications and services are increasingly becoming a part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating practically in every domain. Data collected over the IoT applications, mostly through the sensors connected over the devices, and with the increasing demand, it is not possible to process all the data on the devices itself. The data collected by the device sensors are in vast amount and require high-speed computation and processing, which demand advanced resources. Various applications and services that are crucial require meeting multiple performance parameters like time-sensitivity and energy efficiency, computation offloading framework comes into play to meet these performance parameters and extreme computation requirements. Computation or data offloading tasks to nearby devices or the fog or cloud structure can aid in achieving the resource requirements of IoT applications. In this paper, the role of context or situation to perform the offloading is studied and drawn to a conclusion, that to meet the performance requirements of IoT enabled services, context-based offloading can play a crucial role. Some of the existing frameworks EMCO, MobiCOP-IoT, Autonomic Management Framework, CSOS, Fog Computing Framework, based on their novelty and optimum performance are taken for implementation analysis and compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks. Based on the study of drawn results and limitations of the existing frameworks, future directions under offloading scenarios are discussed.

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Reflection Enhancement and Giant Lateral Shift in Defective Photonic Crystals with Graphene

Applied Sciences ◽

10.3390/app9102141 ◽

2019 ◽

Vol 9 (10) ◽

pp. 2141 ◽

Cited By ~ 10

Author(s):

Dong Zhao ◽

Fangmei Liu ◽

Peng Meng ◽

Jie Wen ◽

Siliu Xu ◽

...

Keyword(s):

Photonic Crystals ◽

Interband Transition ◽

Single Layer ◽

Defect Layer ◽

Lateral Shift ◽

Single Layer Graphene ◽

Intraband Transition ◽

Highly Sensitive ◽

Highly Sensitive Sensors ◽

Periodic Number

This study investigates the reflectance of the defective mode (DM) and the lateral shift of reflected beam in defective photonic crystals incorporated with single-layer graphene by the transfer matrix method (TMM). Graphene, treated as an equivalent dielectric with a thickness of 0.34 nm, was embedded in the center of a defect layer. The reflectance of the DM was greatly enhanced as the intraband transition of electrons was converted to an interband transition in graphene. The reflectance of the DM could be further enhanced by increasing the Bragg periodic number. Furthermore, a large lateral shift of the reflected beam could also be induced around the DM. This study may find great applications in highly sensitive sensors.

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Unidirectional Invisibility Induced by Complex Anti-Parity–Time Symmetric Periodic Lattices

Applied Sciences ◽

10.3390/app9183808 ◽

2019 ◽

Vol 9 (18) ◽

pp. 3808 ◽

Cited By ~ 4

Author(s):

Hui Cao ◽

Dong Zhao ◽

Ming Fang ◽

Huang Guo ◽

Yonghong Hu ◽

...

Keyword(s):

Reflection Coefficient ◽

Parameter Space ◽

Frequency Band ◽

Angular Frequency ◽

Lateral Shift ◽

The Other ◽

Wide Frequency Band ◽

Highly Sensitive ◽

Highly Sensitive Sensors

Complex anti-parity-time symmetric periodic lattices, in a wide frequency band, can act as unidirectional invisible media. The reflection from one end is suppressed while it is enhanced from the other. Furthermore, unidirectional laser points (ULPs) which correspond to the poles of reflection from one end, arise in the parameter space composed of the permittivity and angular frequency. The phase of the reflection coefficient changes sharply near the ULPs. Subsequently, large lateral shift which is proportional to the slope of phase could be induced for the reflected beam. The study may find great applications in unidirectional invisibility, unidirectional lasers and highly sensitive sensors.

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Security Assertion of IoT Devices Using Cloud of Things Perception

International Journal of Interdisciplinary Telecommunications and Networking ◽

10.4018/ijitn.2019100102 ◽

2019 ◽

Vol 11 (4) ◽

pp. 17-31

Author(s):

Mamata Rath ◽

Bibudhendu Pati

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Communication Systems ◽

Future Internet ◽

Computing Systems ◽

Iot Security ◽

Security Assurance ◽

Iot Applications ◽

The Future ◽

Iot Devices

Adoption of Internet of Things (IoT) and Cloud of Things (CoT) in the current developing technology era are expected to be more and more invasive, making them important mechanism of the future Internet-based communication systems. Cloud of Things and Internet of Things (IoT) are two emerging as well as diversified advanced domains that are diversified in current technological scenario. Paradigm where Cloud and IoT are merged together is foreseen as disruptive and as an enabler of a large number of application scenarios. Due to the adoption of the Cloud and IoT paradigm a number of applications are gaining important technical attention. In the future, it is going to be more complicated a setup to handle security in technology. Information till now will severely get changed and it will be very tough to keep up with varying technology. Organisations will have to repeatedly switch over to new skill-based technology with respect to higher expenditure. Latest tools, methods and enough expertise are highly essential to control threats and vulnerability to computing systems. Keeping in view the integration of Cloud computing and IoT in the new domain of Cloud of things, the said article provides an up-to-date eminence of Cloud-based IoT applications and Cloud of Things with a focus on their security and application-oriented challenges. These challenges are then synthesized in detail to present a technical survey on various issues related to IoT security, concerns, adopted mechanisms and their positive security assurance using Cloud of Things.

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