scholarly journals Improving Network Trust using Blockchain Based Communication Links

2020 ◽  
Vol 9 (6) ◽  
pp. 384-388
Keyword(s):  
Wireless Networks ◽  
Inference Model ◽  
Message Source ◽  
Wireless Nodes ◽  
Communication Links ◽  
Roadside Unit ◽  
Block Chain ◽  
And Performance ◽  
Cost Offsets ◽  
Wireless Node

Wireless networks enable wireless-nodes to develop and broadcast messages in an attempt to reinforce congestion protection and performance. Meanwhile, due to distrust environments, it’s mile tough for the wireless-nodes to assess in reliability of the acquired messages. In this work, we advise the decentralized control machine in Wireless networks situated on the blockchain techniques. During this machine, wireless-nodes must be verifying obtained messages from the neighboring Wi-Fi nodes by using Bayesian Inference Model. On the idea of this validation outcome, Wi-Fi node is going to be generated the rating for every message source of wireless-node. With this ranking uploaded from Wi-Fi nodes, Roadside Units are often calculated the trust cost offsets of worried wireless nodes, p.C. This statistic right into the block. Then, to every of the Roadside Unit are going to be attempt for adding their “blocks” to be consider block chain that's maintain with aid of all Roadside Units. Make the utilization of the joint Proof-of-Work and Proof-of-Stake consensus the system, extra overall fee of the offset (stake) is within a block, more easy the Roadside Unit are often located the nonce for their hash feature (evidence-of-paintings).During this manner, all the Roadside Unit collaboratively preserve an up to the date, dependable, and steady believe blockchain. Clone results can display that the proposed gadget be powerful also a possible in accumulating, computing, and storing agrees with values in Wireless networks.

Interference-Aware Wireless Networks for Home Monitoring and Performance Evaluation

2018 ◽  
Vol 15 (3) ◽  
pp. 1286-1297 ◽  
Author(s):  
Fei Ding ◽  
Aiguo Song ◽  
Dengyin Zhang ◽  
En Tong ◽  
Zhiwen Pan ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Performance Evaluation ◽  
Home Monitoring ◽  
And Performance

scholarly journals Security and performance comparison of different secure channel protocols for Avionics Wireless Networks

2016 ◽  
Author(s):  
Raja Naeem Akram ◽  
Konstantinos Markantonakis ◽  
Keith Mayes ◽  
Pierre-Francois Bonnefoi ◽  
Damien Sauveron ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Performance Comparison ◽  
And Performance ◽  
Secure Channel

Enabling continuous connectivity services for ambrosus blockchain application by incorporating 5G-multilevel machine learning orchestrations

2022 ◽  
pp. 1-16
Author(s):  
Nagaraj Varatharaj ◽  
Sumithira Thulasimani Ramalingam
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
High Speed ◽  
Dynamic Condition ◽  
Main Idea ◽  
Base Station ◽  
Performance Comparison ◽  
Wide Range ◽  
Unit Layer ◽  
Block Chain

Most revolutionary applications extending far beyond smartphones and high configured mobile device use to the future generation wireless networks’ are high potential capabilities in recent days. One of the advanced wireless networks and mobile technology is 5G, where it provides high speed, better reliability, and amended capacity. 5 G offers complete coverage, which is accommodates any IoT device, connectivity, and intelligent edge algorithms. So that 5 G has a high demand in a wide range of commercial applications. Ambrosus is a commercial company that integrates block-chain security, IoT network, and supply chain management for medical and food enterprises. This paper proposed a novel framework that integrates 5 G technology, Machine Learning (ML) algorithms, and block-chain security. The main idea of this work is to incorporate the 5 G technology into Machine learning architectures for the Ambrosus application. 5 G technology provides continuous connection among the network user/nodes, where choosing the right user, base station, and the controller is obtained by using for ML architecture. The proposed framework comprises 5 G technology incorporate, a novel network orchestration, Radio Access Network, and a centralized distributor, and a radio unit layer. The radio unit layer is used for integrating all the components of the framework. The ML algorithm is evaluated the dynamic condition of the base station, like as IoT nodes, Ambrosus users, channels, and the route to enhance the efficiency of the communication. The performance of the proposed framework is evaluated in terms of prediction by simulating the model in MATLAB software. From the performance comparison, it is noticed that the proposed unified architecture obtained 98.6% of accuracy which is higher than the accuracy of the existing decision tree algorithm 97.1% .

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