Blockchain-Enabled Decentralized Reliable Smart Industrial Internet of Things (BCIIoT)

2021 ◽  
pp. 192-204
Author(s):  
Chandramohan Dhasarathan ◽  
Shanmugam M. ◽  
Shailesh Pancham Khapre ◽  
Alok Kumar Shukla ◽  
Achyut Shankar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Wireless Communication ◽  
Information Flow ◽  
Data Transfer ◽  
Base Station ◽  
Transmission Power ◽  
Wireless Devices ◽  
Industrial Internet ◽  
Iot Devices

The development of wireless communication in the information technological era, collecting data, and transfering it from unmanned systems or devices could be monitored by any application while it is online. Direct and aliveness of countless wireless devices in a cluster of the medium could legitimate unwanted users to interrupt easily in an information flow. It would lead to data loss and security breach. Many traditional algorithms are effectively contributed to the support of cryptography-based encryption to ensure the user's data security. IoT devices with limited transmission power constraints have to communicate with the base station, and the data collected from the zones would need optimal transmission power. There is a need for a machine learning-based algorithm or optimization algorithm to maximize data transfer in a secure and safe transmission.

scholarly journals Neighbor-Aware Non-Orthogonal Multiple Access Scheme for Energy Harvesting Internet of Things

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 448
Author(s):  
Yumi Kim ◽  
Mincheol Paik ◽  
Bokyeong Kim ◽  
Haneul Ko ◽  
Seung-Yeon Kim
Keyword(s):  
Internet Of Things ◽  
Outage Probability ◽  
Multiple Access ◽  
Stochastic Game ◽  
Average Energy ◽  
Base Station ◽  
Data Rate ◽  
Transmission Power ◽  
Response Dynamics ◽  
Iot Devices

In a non-orthogonal multiple access (NOMA) environment, an Internet of Things (IoT) device achieves a high data rate by increasing its transmission power. However, excessively high transmission power can cause an energy outage of an IoT device and have a detrimental effect on the signal-to-interference-plus-noise ratio of neighbor IoT devices. In this paper, we propose a neighbor-aware NOMA scheme (NA-NOMA) where each IoT device determines whether to transmit data to the base station and the transmission power at each time epoch in a distributed manner with the consideration of its energy level and other devices’ transmission powers. To maximize the aggregated data rate of IoT devices while keeping an acceptable average energy outage probability, a constrained stochastic game model is formulated, and the solution of the model is obtained using a best response dynamics-based algorithm. Evaluation results show that NA-NOMA can increase the average data rate up to 22% compared with a probability-based scheme while providing a sufficiently low energy outage probability (e.g., 0.05).

scholarly journals A Review on Spam Detection Techniques for IOT Devices

2021 ◽  
Vol 9 (12) ◽  
pp. 823-827
Author(s):  
Nurussabah Mohammad Fahim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Wireless Communication ◽  
Communication Channels ◽  
Cyber Attacks ◽  
The Other ◽  
Spam Detection ◽  
Detection Techniques ◽  
Iot Devices ◽  
Security Of Iot

Abstract: The number of Internet of Things (IoT) devices in smart homes is rapidly increasing, generating massive volumes of data that is mostly transmitted over wireless communication channels. The amount of data released by these gadgets increased as well. Aside from the increasing volume, the IoT gadget generates a significant amount of data. Having varied data quality characterised by its speed in terms of time and position in various different modalities dependence. However, different IoT devices are vulnerable to different dangers, such as cyber-attacks and changing network conditions. Data leakage, connections, and so on. The properties of IoT nodes, on the other hand, make the current solutions obsolete. inadequate to cover the entire security range of IoT networks Machine learning can help in this situation. Algorithms can be useful in detecting irregularities in data, which improves the security of IoT systems. The methods are aimed at the data anomalies that exist in the smart Internet in general.

scholarly journals Joint Optimization on Trajectory, Cache Placement, and Transmission Power for Minimum Mission Time in UAV-Aided Wireless Networks

2021 ◽  
Vol 10 (7) ◽  
pp. 426
Author(s):  
Tingting Lan ◽  
Danyang Qin ◽  
Guanyu Sun
Keyword(s):  
Wireless Communication ◽  
Power Allocation ◽  
Optimization Problems ◽  
Base Station ◽  
Optimization Techniques ◽  
Joint Optimization ◽  
Transmission Power ◽  
Wireless Backhaul ◽  
Mission Time ◽  
Cache Placement

In recent years, due to the strong mobility, easy deployment, and low cost of unmanned aerial vehicles (UAV), great interest has arisen in utilizing UAVs to assist in wireless communication, especially for on-demand deployment in emergency situations and temporary events. However, UAVs can only provide users with data transmission services through wireless backhaul links established with a ground base station, and the limited capacity of the wireless backhaul link would limit the transmission speed of UAVs. Therefore, this paper designed a UAV-assisted wireless communication system that used cache technology and realized the transmission of multi-user data by using the mobility of UAVs and wireless cache technology. Considering the limited storage space and energy of UAVs, the joint optimization problem of the UAV’s trajectory, cache placement, and transmission power was established to minimize the mission time of the UAV. Since this problem was a non-convex problem, it was decomposed into three sub-problems: trajectory optimization, cache placement optimization, and power allocation optimization. An iterative algorithm based on the successive convex approximation and alternate optimization techniques was proposed to solve these three optimization problems. Finally, in the power allocation optimization, the proposed algorithm was improved by changing the optimization objective function. Numerical results showed that the algorithm had good performance and could effectively reduce the task completion time of the UAV.

Smart Gateways for IOT-Factory Integration

2019 ◽  
pp. 149-170
Author(s):  
Eva Masero Rubio ◽  
Pedro Miguel Baptista Torres ◽  
Rogério Pais Dionísio
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Industrial Revolution ◽  
Shop Floor ◽  
Industrial Equipment ◽  
Financial Strength ◽  
Industrial Internet ◽  
Communication Devices

This book chapter proposes a description of smart gateways and cyber-physical systems (CPS) for the industrial internet of things (I-IOT). It also presents a case study where a smart gateway is developed to be used in different types of industrial equipment for the shop floor. The case study is developed under the specifications of different industries in the region of Castelo Branco. It is a proof that the 4th industrial revolution will be the engine for SME innovation, independence of the regions and their financial strength. It is also proof that the cooperation between universities, industries and startups can evolve to break barriers and add value in the improvement of regional industries competitiveness. Topics that will be addressed on the chapter can be used for developers, students, researchers and enthusiasts to learn topics related to I-IOT, such as data acquisitions systems, wired and wireless communication devices and protocols, OPC servers and LabVIEW programming.

scholarly journals Intelligent Home Monitoring System Based on Internet of Things

2017 ◽  
Vol 13 (10) ◽  
pp. 21 ◽  
Author(s):  
Xijuan Wang
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Monitoring System ◽  
Home Environment ◽  
Remote Monitoring ◽  
Base Station ◽  
Sensor Nodes ◽  
Remote Monitoring System ◽  
Intelligent Home ◽  
Internet Of Things Technology

<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">To realize the remote monitoring and intelligent management of the home environment, intelligent home remote monitoring system is developed based on the Internet of things technology. By using RF transceiver chip and GPRS technology, a smart home system scheme for wireless networks is established. The hardware and software design of sensor nodes and GPRS wireless communication base station is completed. Sensor nodes are used to monitor the acquisition of field data. Based on GPRS technology, the wireless communication base station realizes the uploading of monitoring data. The wireless communication between the node and the base station is realized by radio frequency transceiver chip SI4432. The results show that the system reaches the aim of expected design function. Therefore, it can be concluded that the system can meet the intelligent monitoring of the home environment.</span></span></p>

scholarly journals SPY-BOT: Machine learning-enabled post filtering for Social Network-Integrated Industrial Internet of Things

2021 ◽  
pp. 102588
Author(s):  
Md Arafatur Rahman ◽  
Nafees Zaman ◽  
A. Taufiq Asyhari ◽  
S.M. Nazmus Sadat ◽  
Prashant Pillai ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Network ◽  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Industrial Internet
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