routing mechanism
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2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Jiangdong Lu ◽  
Dongfang Li ◽  
Penglong Wang ◽  
Fen Zheng ◽  
Meng Wang

Today, with increasing information technology such as the Internet of Things (IoT) in human life, interconnection and routing protocols need to find optimal solution for safe data transformation with various smart devices. Therefore, it is necessary to provide an enhanced solution to address routing issues with respect to new interconnection methodologies such as the 6LoWPAN protocol. The artificial neural network (ANN) is based on the structure of intelligent systems as a branch of machine interference, has shown magnificent results in previous studies to optimize security-aware routing protocols. In addition, IoT devices generate large amounts of data with variety and accuracy. Therefore, higher performance and better data handling can be achieved when this technology incorporates data for sending and receiving nodes in the environment. Therefore, this study presents a security-aware routing mechanism for IoT technologies. In addition, a comparative analysis of the relationship between previous approaches discusses with quality of service (QoS) factors such as throughput and accuracy for improving routing mechanism. Experimental results show that the use of time-division multiple access (TDMA) method to schedule the sending and receiving of data and the use of the 6LoWPAN protocol when routing the sending and receiving of data can carry out attacks with high accuracy.


2022 ◽  
Vol 70 (1) ◽  
pp. 1111-1126
Author(s):  
Wejdan Wasel Aljaghthami ◽  
Mohammad Haseeb Zafar ◽  
Afraa Zuhair Attiah

2021 ◽  
Author(s):  
Shanghan Xie ◽  
Xincheng Yan ◽  
Na Zhou ◽  
Zhihong Jiang ◽  
Ying Liu

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7427
Author(s):  
Gilmara Santos ◽  
Diogo Soares ◽  
Celso Carvalho ◽  
Edjair Mota

In Opportunistic Networks (OppNets), mobility of and contact between nodes are explored to create communication opportunities and exchange messages and information. A basic premise for a better performance of these networks is a collaboration of the nodes during communication. However, due to energy restriction factors, nodes may eventually fail to collaborate with message exchanges. In this work, we propose a routing mechanism called eGPDMI to improve message probability of delivery while optimizing nodes’ energy consumption. Unlike other algorithms proposed in OppNets literature, eGPDMI groups nodes by energy level and nodes interests using clustering techniques. Our major assumption is that retaining messages in nodes with the highest energy levels can improve network performance, thus overcoming the problem of nodes’ disconnection due to unwillingness to cooperate due to low energy values. Through questionnaire application and factorial design experiments, we characterize the impacts of energy levels in OppNets. Further, we apply performance evaluation of the eGPDMI mechanism in terms of effectiveness using mobility from real-world scenarios. The results show that our mechanism effectively reduces the degradation of the probability of delivery when the minimum energy level used for nodes to cooperate with communication increases.


Author(s):  
Roopali Dogra ◽  
Shalli Rani ◽  
Sandeep Verma ◽  
Sahil Garg ◽  
Mohammad Mehedi Hassan

2021 ◽  
Author(s):  
Weikun Cao ◽  
Yinong Zhang ◽  
Weiwei Xia ◽  
Da Sun ◽  
Feng Yan ◽  
...  

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