scholarly journals An Efficient Quantum based D2D Computation and Communication Approach for the Internet of Things

2021 ◽  
Author(s):  
M S Mekala ◽  
Gautam Srivast ◽  
Jerry Chun-Wei Lin ◽  
Gaurav Dhiman ◽  
Ju H Park ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Bandwidth Allocation ◽  
Data Communication ◽  
The Internet ◽  
Service Reliability ◽  
Embedded Devices ◽  
Research Attention ◽  
Millimetre Wave ◽  
Communication Approach ◽  
The Internet Of Things

Abstract We can say with some clarity that the Internet of Things (IoT) can be made up of a set of embedded devices such as light detection sensors, ranging (LiDAR) sensors, and millimetre-wave (mmWave) sensors. These sensors generate a massive amount of data in which limited communication capacity is available to share a massive amount of data to Fog-based Roadside Units (RSU) for data process and analysis service. Fog-based RSU has become an emerging paradigm in intelligent transportation but needs research attention to design intelligent decision-making methods for data communication and computation at Fog-based RSU. To address these issues, we design a two-level Quantum based D2D Computation, Communication ($QDC^{2}$) approach. First, design a bandwidth allocation strategy based on spatial importance score factors to resolve embedded devices' data transmission issues. Second, design an adaptive equilibrium service offloading strategy based on device-centric measurements to assess the computation capacity and performance rate for resolving Fog-node computation consistency issues. Additionally, Fog-based RSU is interconnected with LAN helps to optimize service latency. Simulation results show that our approach achieved a high service reliability rate (79.56\%), low error rate (0.9\%), and an execution delay of 22.5s for 15 devices than state-of-art approaches.

scholarly journals Elasticity for MQTT Brokers in IoT Applications

2021 ◽  
Vol 2020 (2) ◽  
pp. 61-73
Author(s):  
Linh Manh Pham
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Service Providers ◽  
Human Life ◽  
Low Power Consumption ◽  
The Internet ◽  
Embedded Devices ◽  
New Approach ◽  
Iot Applications ◽  
The Internet Of Things

Many domains of human life are more and moreimpacted by applications of the Internet of Things (i.e., IoT).The embedded devices produce masses of data day after dayrequiring a strong network infrastructure. The inclusion ofmessaging protocols like MQTT is important to ensure as fewerrors as possible in sending millions of IoT messages. Thisprotocol is a great component of the IoT universe due to itslightweight design and low power consumption. DistributedMQTT systems are typically needed in actual applicationenvironments because centralized MQTT methods cannotaccommodate a massive volume of data. Although beingscalable decentralized MQTT systems, they are not suited totraffic workload variability. IoT service providers may incurexpense because the computing resources are overestimated.This points to the need for a new approach to adapt workloadfluctuation. Through proposing a modular MQTT framework,this article provides such an elasticity approach. In order toguarantee elasticity of MQTT server cluster while maintainingintact IoT implementation, the MQTT framework used offthe-shelf components. The elasticity feature of our frameworkis verified by various experiments.

scholarly journals A Survey on Intermediate Data Management for Big Data and Internet of Things

2018 ◽  
Vol 7 (4.37) ◽  
pp. 86
Author(s):  
Marwah Nihad ◽  
Alaa Hassan ◽  
Nadia Ibrahim
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Management ◽  
New Technology ◽  
Future Internet ◽  
The Internet ◽  
Embedded Devices ◽  
Technology Generation ◽  
Intermediate Data ◽  
The Internet Of Things

The field internet of things and Big Data has become a necessity in our everyday lives due to the broadening of its technology and the exponential increase in devices, services, and applications that drive different types of data. This survey shows the study of Internet of Things (IoT), Big Data, data management, and intermediate data. The survey discusses intermediate data on Big Data and Internet of Things (IoT) and how it is managed. Internet of Things (IoT) is an essential concept of a new technology generation. It is a vision that allows the embedded devices or sensors to be interconnected over the Internet. The future Internet of Things (IoT) will be greatly presented by the massive quantity of heterogeneous networked embedded devices that generate intensively "Big data". Referring to the term intermediate data as the information that is provoked as output data along the process. However, this data is temporary and is erased as soon as you run a model or a sample tool. Also, the existence of intermediate data in both of the Internet of Things (IoT) and Big Data are explained. Here, various aspects of the internet of things, Big Data, intermediate data and data management will be reviewed. Moreover, the schemes for managing this data and its framework are discussed.  

A Business Model Framework for Crowd-Driven IoT Ecosystems

2019 ◽  
pp. 440-461
Author(s):  
Xenia Ziouvelou ◽  
Frank McGroarty
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Business Models ◽  
Wearable Devices ◽  
The Internet ◽  
Model Framework ◽  
Research Attention ◽  
Business Modelling ◽  
Emerging Ecosystems ◽  
The Internet Of Things

This article describes how the era of hyper-connectivity is characterized by distributed, crowd-centric ecosystems that utilise cutting edge technology so as to harness the collective power, co-creation ability and intelligence of the crowd utilising under open participatory value creation models. The Internet of Things (IoT) has fueled the emergence of such ecosystems that leverage not only the power of physical things connected to the Internet but also the wisdom of the crowd to observe, measure, and make sense of phenomena via user-owned mobile and wearable devices. Existing business modelling literature has to date, placed no research attention on business models for such emerging ecosystems. This article aims to fill this gap by examining the dynamics of crowd-driven IoT ecosystems and introducing a business model framework for such environments, encompassing all relevant value-creating actors, activities and processes, facilitating this way a holistic ecosystem business model analysis.

Security Issues in the Internet of Things

2018 ◽  
pp. 186-200 ◽  
Author(s):  
Muneer Bani Yassein ◽  
Wail Mardini ◽  
Amnah Al-Abdi
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Data Communication ◽  
The Internet ◽  
Policy Enforcement ◽  
Privacy Policy ◽  
Everyday Objects ◽  
Security Issues ◽  
Communication Paradigm ◽  
The Internet Of Things

Internet of Things (IoT) is one of the most active and hot topics these days in which most of our everyday objects are connected with each other over internal and external networks. As in any data communication paradigm there are security aspects that should be taken care of. The traditional security mechanisms are usually not applicable in IoT because there are different standards involved, this make the security preservation is one of the main challenges in IoT. According to previous surveys, there are many of security issues in regards to IoT. In this chapter, five issues from the security issues in IoT are discussed; Access Control, Authentication, Privacy, Policy Enforcement, and Trust. After that, major proposed solutions from the literature is listed and compared according to the strength and weakness points for each of them.

Business Aspects, Models, and Opportunities of IoT

2019 ◽  
pp. 69-99
Author(s):  
Baghavathi Priya S. ◽  
Vinothini Arumugam
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Human Being ◽  
Embedded Devices ◽  
The Future ◽  
The Internet Of Things

The new conceivable rule of the future is going to be anything can be connected and will be connected over the internet. Technically, internet of things, is defined as the computing concept of connecting the devices over the internet. This adds a level of digital intelligence to the devices, enabling them to communicate without the human being involved. This chapter will discuss about the business aspects, models, and opportunities involved in IoT. The internet of things or IoT is basically about the interconnection of uniquely identifiable and programmable embedded devices within its infrastructure with the help of the internet.

scholarly journals Stable-radicals increase the conductance and Seebeck coefficient of graphene nanoconstrictions

Nanoscale ◽  
2018 ◽  
Vol 10 (40) ◽  
pp. 19220-19223 ◽  
Author(s):  
Mohammed Noori ◽  
Hatef Sadeghi ◽  
Colin J. Lambert
Keyword(s):  
Internet Of Things ◽  
Seebeck Coefficient ◽  
The Internet ◽  
Embedded Devices ◽  
Stable Radicals ◽  
The Internet Of Things

Nanoscale thermoelectricity is an attractive target technology, because it can convert ambient heat into electricity for powering embedded devices in the internet of things.

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