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Reflects downloads up to 10 Nov 2024Bibliometrics
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research-article
Double Q-learning based routing protocol for opportunistic networks

Opportunistic Delay Tolerant Networks also referred to as Opportunistic Networks (OppNets) are a subset of wireless networks having mobile nodes with discontinuous opportunistic connections. As such, developing a performant routing protocol in such an ...

research-article
An anti-consensus strategy based on continuous perturbation updates in opposite directions

In modern society, multi-agent consensus is applied in many applications such as distributed machine learning, wireless sensor networks and so on. However, some agents might behave abnormally subject to external attack or internal faults, and thus fault-...

research-article
Energy-aware resource management in Internet of vehicles using machine learning algorithms

Internet of Vehicles (IoV) presents a new generation of vehicular communications with limited computation offloading, energy and memory resources with 5G/6G technologies that have grown enormously and are being used in wide variety of Intelligent ...

research-article
A secure data fitting scheme based on CKKS homomorphic encryption for medical IoT

With the development of big data technology, medical data has become increasingly important. It not only contains personal privacy information, but also involves medical security issues. This paper proposes a secure data fitting scheme based on CKKS (...

research-article
Performance evaluation of contact-time based and adaptive-timer based message suppression methods for inter-vehicle communication in vehicular DTN

In the next generation wireless networks, the number of connected terminals to the network, communication protocols, and the channels available will be increased, thus network slicing will become more important. Also, vehicles, buses, trains and ...

research-article
Fault diagnosis model of multi-axis industrial robot based on triplet network

Fault diagnosis is an important link in intelligent development of industrial robots. Aiming at the problem of weak fault diagnosis performance caused by insufficient training samples, a fault diagnosis model based on triplet network is proposed. Firstly, ...

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