Abstract
In this paper, an in-depth study of interactive visual communication of network topology through non-line-of-sight congestion control algorithms is conducted to address the real-time routing problem of adapting to dynamic topologies, and a delay-constrained stochastic routing algorithm is proposed to enable packets to reach GB within the delay threshold in the absence of end-to-end delay information while improving network throughput and reducing network resource consumption. The algorithm requires each sending node to select an available relay set based on the location of its neighbor nodes and channel state and computes transfer probabilities for each node in the relay set combining the remaining delay of the packet with the distance from the relay node to GB. Based on the obtained transfer probability and local channel state, the sending node passes the packet to the relay node. The convergence of the algorithm is proved and its performance is verified by simulation. The first part of the algorithm is based on the greedy algorithm to deploy and locate the network flying platform nodes with the goal of efficient coverage of the network flying platform nodes, considering the ground base station services. As the delay on each link varies due to the change of channel state, the source and relay nodes asynchronously update the data generation rate and the pairwise parameters based on the received local information and use the obtained optimal values to pass the packets to GB.
Highlights
Vision is an important sense for us human beings to distinguish the big and small, light, and dark, as well as movement and stillness and colors of the external world
To simplify the transmission process, each relay node has only one chance to retransmit the packet. e simulation results are divided into two parts: Figure 4 shows the trend of network parameters for the proposed routing strategies including DSRA, OR-DSP, P-OLSR, and GRAA, for different travel speeds and hello intervals
Design and implement a network topology visualization system to visualize complex nodes and internode connectivity information in a page and provide users with a variety of dimensional data presentation methods, enabling users to analyze and monitor network data in the topology by filtering, moving, and modifying attributes and other interactive methods. e interference control problem for satisfying end-to-end delay constraints is formalized as an optimization problem targeting data transmission rate and transmit power. e link-layer constraints are eliminated using a pairwise decomposition method and the end-to-end delay constraint is transformed into a single-hop delay constraint based on a horizontal decomposition method
Summary
Vision is an important sense for us human beings to distinguish the big and small, light, and dark, as well as movement and stillness and colors of the external world. A network topology is the topology of a network and can be physically or logically described [9] It is the application of graph theory, where communication devices are modeled as nodes and connections between devices are modeled as links or lines between nodes [10]. E system is based on a familiar node-linked network layout, providing custom techniques for exploring connectivity in large graphical structures, supporting visual search and analysis as well as automatic identification and visualization of community structures [15]. This paper builds a real-time interactive network topology visualization system through Web technology to display various data distributions more clearly and effectively, provide interactive operation, and obtain more potential network information. 2. Interactive Visual Communication Network Topology Optimization Design for Non-Lineof-Sight Distance Congestion Control Algorithm. Model to provide the topology to show the content; at the same time it can realize a model to create a new topology without rewriting the model; as long as the data in the model changes, the topology will receive notification of the model, and the corresponding topology will be rerendered page. e model can be reused, the model topology and controller are independent of each other, and one or more of them can be ported to the new working platform separately, greatly
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