Electricity theft continues to have a severe impact on utility businesses, particularly in underdeveloped countries. It is still difficult to correctly identify offenders and gather sufficient proof to bring successfu...
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IoT has enabled mass to achieve massive connectivity and extreme interaction, not only in terms of the number of devices for communication but also in terms of real-time quality connections among them. Human-computer ...
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The abstract Data security is of most importance, in the present day- the introduction of high-level wireless communication channels has led to generation and transfer of massive amounts of data. Data security must ke...
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Industrial automation 4.0 extensively relies upon cybernetics technologies to improve the efficiency of various industrial processes. Cybernetics technologies are the prime enablers of the industrial internet of thing...
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automation now plays a significant role in human lives. The industrial appliances such as machinery, motors, fans, lights, and air conditioners can be monitored and controlled using Industrial automation. It also ensu...
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The widespread use of tools and machines in the workplace as a result of industrialization has led to steady increase in their quantity and complexity. PLC are used in industrial automation to improve system performan...
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This study aims to build an integrated virtual and real system platform through the use of a professional industrial control simulation software, automation Studio®, and a physical programmable logic controller (...
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Optimal routing in Vehicular Ad-hoc Networks (VANETs) presents significant challenges due to the dynamic nature of vehicular movements. Cluster-based routing schemes have emerged as promising strategies to manage the ...
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ISBN:
(纸本)9798350361261;9798350361278
Optimal routing in Vehicular Ad-hoc Networks (VANETs) presents significant challenges due to the dynamic nature of vehicular movements. Cluster-based routing schemes have emerged as promising strategies to manage the scalability and efficiency of routing in VANETs. However, they often face limitations in coverage due to their inherent reliance on distributive route discovery methods. This paper introduces the Software-Defined networking-enabled cluster-based Evolving Graph Routing Scheme (SE-CEGRS), designed to address these coverage challenges by integrating the flexibility and centralized control of Software-Defined Networking (SDN) with the established Cluster-based VANET-oriented Evolving Graph (CVoEG) framework. Unlike traditional CVoEG, which employs a distributive approach with Evolving Graph Dijkstra (EG-Dijkstra) for both intra- and inter-cluster communications, SE-CEGRS maintains this strategy for intra-cluster scenarios but shifts to a centralized model for inter-cluster communications. Our evaluation demonstrates that SE-CEGRS significantly outperforms conventional CVoEG in inter-cluster communication scenarios by offering reduced discovery times, lower communication overhead, and shorter average path lengths. The findings underscore SE-CEGRS's potential to enhance the efficiency and scalability of routing in VANETs, pointing toward a new direction for future research and development in vehicular communication technologies.
A design scheme for a Web-based PLC visual control system is proposed, which integrates Web technology, PLC control, visual inspection and MATLAB image processing, to realize remote multi-camera control and monitoring...
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With the proposition of an integrated space-airground-sea communication network concept, satellites have become a key bridge connecting the globe. Low Earth Orbit (LEO) satellites, in particular, have become an import...
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ISBN:
(纸本)9798350362770;9798350362763
With the proposition of an integrated space-airground-sea communication network concept, satellites have become a key bridge connecting the globe. Low Earth Orbit (LEO) satellites, in particular, have become an important force in achieving global seamless communication due to their low latency and wide coverage advantages. LEO satellite networks can provide computing services to ground users under extreme conditions, which is of significant practical importance. The coordination among satellite edge nodes not only improves the utilization of space-based resources but is also key to enhancing the QoS of satellite edge computing services. Therefore, we propose a computation offloading strategy based on deep reinforcement learning (DRL) for multi-satellite cooperative computing scenarios (DQN-SCCO). First, the optimization problem is formulated as a Markov decision process (MDP), and the optimal solution to the problem is approached through a deep Q-network (DQN). Simulation results show that DQN-SCCO can effectively reduce the task set response delay and improve the task offloading success rate compared to baseline algorithms.
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