With the rapid development of the Internet and computers, large-scale network applications have become a research hotspot in the communication industry, engineering and other fields. Building a new wireless sensor net...
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With the rapid development of the Internet and computers, large-scale network applications have become a research hotspot in the communication industry, engineering and other fields. Building a new wireless sensor network and intelligent communication transmission system can promote the further upgrading and improvement of the capability industry, which is also a subject that the current network academia and communication academia are trying to explore. Based on the above background environment, this paper proposes the research on energy prediction and intelligent routing algorithm of wireless sensor networks in the development of sixth generation (6G) networks. A node coverage and scheduling algorithm based on energy prediction is proposed for the overlap and non-uniformity of regions in network transmission. Secondly, the problem of energy efficient utilization in wireless sensor networks is solved, and the clustering algorithm is used to predict the use process. The working state model of network sensor is established, and the energy parameters are added to the actual prediction calculation as influencing factors. Finally, in the intelligentrouting mechanism, clustering mechanism and particle swarm optimization algorithm are used to improve the path selection, so as to improve the fault tolerance of wireless network transmission in the face of large amounts of dynamic data. The research results show that the optimization and intelligent routing algorithm based on energy prediction for wireless sensor networks can prolong the service life cycle and ensure the network transmission efficiency and coverage in a long work cycle. It can ensure the energy supply of the sensor and prolong the service time through the balanced node scheduling.& COPY;2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://***/ licenses/by-nc-nd/4.0/).
The underwater wireless sensor network is an important component of the underwater three-dimensional monitoring system. Due to the high bit error rate, high delay, low bandwidth, limited energy, and high dynamic of un...
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The underwater wireless sensor network is an important component of the underwater three-dimensional monitoring system. Due to the high bit error rate, high delay, low bandwidth, limited energy, and high dynamic of underwater networks, it is very difficult to realize efficient and reliable data transmission. Therefore, this paper posits that it is not enough to design the routingalgorithm only from the perspective of the transmission environment;the comprehensive design of the data transmission algorithm should also be combined with the application. An edge prediction-based adaptive data transmission algorithm (EP-ADTA) is proposed that can dynamically adapt to the needs of underwater monitoring applications and the changes in the transmission environment. EP-ADTA uses the end-edge-cloud architecture to define the underwater wireless sensor networks. The algorithm uses communication nodes as the agents, realizes the monitoring data prediction and compression according to the edge prediction, dynamically selects the transmission route, and controls the data transmission accuracy based on reinforcement learning. The simulation results show that EP-ADTA can meet the accuracy requirements of underwater monitoring applications, dynamically adapt to the changes in the transmission environment, and ensure efficient and reliable data transmission in underwater wireless sensor networks.
Geographic Information Systems (GIS) are computer-based systems designed to support the capture, management, manipulation, analysis, and modeling of spatially referenced data. At present, GIS has been extensively used...
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ISBN:
(纸本)9787564112493
Geographic Information Systems (GIS) are computer-based systems designed to support the capture, management, manipulation, analysis, and modeling of spatially referenced data. At present, GIS has been extensively used in the energy management system and provides visualized platform to electrical distribution system analysis, design and operation, that is, AM/FM/GIS. One-line diagrams are widely used to represent the electrical distribution system current state and its facilities connectivity relationship. Once AM/FM/GIS integrate with SCADA, the real time operational data obtained, one-line diagrams could represent electrical distribution system dynamic topological relationship. In the past, one-tine diagrams was produced by means of manual working using CAD or more original analogy circuit board, it is inefficient and easily error. Therefore it's significant to implement automatic generation one-line diagram, it can reduce the human errors and the huge effort in a manual generation technique. This paper presents a methodology to automatically build these diagrams based on the usage of geospatial data from AM/FM/GIS. All electrical distribution system facilities including the network buses, branches, switches and transformers were abstracted into edges and nodes. With the aid of the routing methodology in the large scale integration, an intelligent routing algorithm for the power system graph is presented. The intelligent routing algorithm permits the elimination of intersection and overlap of buses and other facilities. The approach was successfully demonstrated with some city district electrical distribution system.
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