Creating Collision-Free Communication in IoT with 6G Using Multiple Machine Access Learning Collision Avoidance Protocol

Shakeel, P. Mohamed; Baskar, S.; Fouad, H.; Manogaran, Gunasekaran; Saravanan, Vijayalakshmi; Xin, Qin

doi:10.1007/s11036-020-01670-9

Cited by 48 publications

(28 citation statements)

References 26 publications

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“…The second former layer can be used for cable or wireless sensor communication. The third fog nodes layer measures the demands and forwards findings to other fog nodes or cloud nodes [4].…”

Section: Overview Of Managing Data Security Using Keyed-hash Message Authentication Code-based Encryption Algorithmmentioning

confidence: 99%

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Jalasri

Lakshmanan

2021

Complex Intell. Syst.

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Fog computing and the Internet of Things (IoT) played a crucial role in storing data in the third-party server. Fog computing provides various resources to collect data by managing data security. However, intermediate attacks and data sharing create enormous security challenges like data privacy, confidentiality, authentication, and integrity issues. Various researchers introduce several cryptographic techniques; security is still significant while sharing data in the distributed environment. Therefore, in this paper, Code-Based Encryption with the Energy Consumption Routing Protocol (CBE-ECR) has been proposed for managing data security and data transmission protocols using keyed-hash message authentication. Initially, the data have been analyzed, and the distributed cluster head is selected, and the stochastically distributed energy clustering protocol is utilized for making the data transmission. Code-driven cryptography relies on the severity of code theory issues such as disorder demodulation and vibration required to learn equivalence. These crypto-systems are based on error codes to build a single-way function. The encryption technique minimizes intermediate attacks, and the data have protected all means of transmission. In addition to data security management, the introduced CBE-ECR reduces unauthorized access and manages the network lifetime successfully, leading to the effective data management of 96.17% and less energy consumption of 21.11% than other popular methods.The effectiveness of the system is compared to the traditional clustering techniques.

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“…The second former layer can be used for cable or wireless sensor communication. The third fog nodes layer measures the demands and forwards findings to other fog nodes or cloud nodes [4].…”

Section: Overview Of Managing Data Security Using Keyed-hash Message Authentication Code-based Encryption Algorithmmentioning

confidence: 99%

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Jalasri

Lakshmanan

2021

Complex Intell. Syst.

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“…𝑈𝑝𝑑𝑎𝑡𝑒 𝐶𝑦𝑐𝑙𝑒 𝑇𝑟𝑎𝑛𝑠𝑚𝑖𝑠𝑠𝑖𝑜𝑛 𝑇𝑖𝑚𝑒+𝐺𝑢𝑎𝑟𝑑 𝑇𝑖𝑚𝑒 (8) As found in equation ( 8), the maximum packet capacity has been updated. The CLR-IIoT protocol delivers a higher PTR for the big 1 scenarios which are 5 min as opposed to the unoptimized CLR-IIoT, by increasing the amount of tags per channel.…”

Section: 𝑃 𝑚𝑎𝑥𝑖𝑚𝑢𝑚 =mentioning

confidence: 99%

Competition Laws and Regulations For a Digital Industry Platform

Tan

Sun

Sundarasekar

et al. 2021

Preprint

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During the last two decades, several nations have enacted or reinforced competition legislation. In most countries, at the same time, indigenous sectors are under ever-greater import demand. Towards an analysis, to monitor over time and the presence of imports and the number of domestic companies, on the influence of competitive legislation and rules (CLR) on the domestic competition for several nations. To see the direct impact of the Competition Law on competitiveness as industries with more import exposure or bigger local businesses are tending to be more competitive. However, it should be concluded that industries operating under competition legislation tend to have more domestic companies. This implies that by stimulating entrance, competition legislation may have an indirect influence on domestic competition. In terms of the function of government in industrial growth and the position of the public and private sector in country industrialization, the comparative role for small and big industries, an industrial policy may be described as the declaration of importance. It is essential to introduce new laws and regulations to encourage competition and constrain large industries. The problems of Industry 4.0 will be met through digitalization and automation. The vast amount of data produced on the industrial Internet of Things (IIoT) must be collected, understood, and used. This is precisely what the digital company does by integrating the real world with the digital world. Therefore, the endless quantity of data enables the industry to make the CLR-IIOT technique more sustainable by employing final resources efficiently. Competition results in greater economic dynamic efficiency through innovation, technical advancement, reduced prices, and improved quality and customer service. Competition legislation is necessary since the market may be affected by faults and distortions, and diverse consumers may have recourse to anti-competitive actions such as cartels, abuse of predomination, etc.

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“…A vision for 6G mobile networks was discussed in [3] to solve some challenges including physical-layer transmission and network designs. Multiple Machine Access Learning was introduced in [4] formaking effective communication. The designed learning scheme reduces the latency but it failed to increase the Quality of Experience (QoE) of the 6G user's application demands.…”

Section: For Energy and Cost-efficient Communication A Multivariate Regressive Deep Stochasticmentioning

confidence: 99%

Bivalence Fuzzified Decision Stump Bootstrap Aggregation for Energy and Cost-Efficient 6G Communication

Rahim

Ramalingam

Ramachandran

et al. 2021

Preprint

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Future Sixth generation (6G) wireless networks are anticipatedto offer entirecoverage, improved spectral, energyandcost-efficient communication.The 6G will enable a network collectivelyand offer seamless wireless connectionsbetween the devices. While the deployment of 5G is ongoing, mobile communication networks are still suffering many basic challenges such as high-energy consumption and operating costs. To address these issues, it is very important to consider and develop new technologies in next-generation mobile communication, namely 6G. Novel machine learning can potentially assist the 6G to obtain better communication. Bivalence Fuzzified Decision Stump Bootstrap Aggregating (BFDSBA) model is introduced for energy and cost efficient communication. The BFDSBA model considers the nodes i.e. devices in the forecasting process before the data communication in the 6G network. The Bootstrap Aggregative technique utilizes set of weak learners as Bivalence Fuzzified Decision Stump. For each device in the network, energy, signal strength, and bandwidth is measured. Based on the estimated resources, efficient devices are selected for the 6G network architectural design. This in turn helps to improvedata communication with lesser cost in6G networks. The result exposesimprovement of BFDSBA model than the conventional methods.

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Creating Collision-Free Communication in IoT with 6G Using Multiple Machine Access Learning Collision Avoidance Protocol

Cited by 48 publications

References 26 publications

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Competition Laws and Regulations For a Digital Industry Platform

Bivalence Fuzzified Decision Stump Bootstrap Aggregation for Energy and Cost-Efficient 6G Communication

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