In order to solve the coverage hole problem caused by random deployment of WSN nodes, aiming at the demand of energy consumption optimization in the process of redeployment, the coverage control problem is constructed...
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ISBN:
(纸本)9798400707674
In order to solve the coverage hole problem caused by random deployment of WSN nodes, aiming at the demand of energy consumption optimization in the process of redeployment, the coverage control problem is constructed as a multi-objective optimization problem, a coverage control algorithm for heterogeneous WSN with normal distribution of node perception radius is proposed. Firstly, in order to enrich the diversity of tuna population, the Sobol sequence was used for initialization in the initial stage. In addition, nonlinear weight coefficient is introduced to comprehensively consider the global search and local development ability of the algorithm. Secondly, the fast non-dominated sorting method is used for reference to classify the tuna population, and elite reservation and external archiving strategy are added to improve the accuracy of the algorithm. Then, a reasonable calculation method of crowding distance is proposed to enhance the diversity of optimal solutions. Finally, in the Matlab simulation environment, the NSMTSO, NSGA-II, NSMOFPA and MOPSO algorithm are tested in the standard test function and WSN coverage optimization respectively. The simulation results show that the NSMTSO algorithm proposed in this paper is more stable, and the optimal solution set obtained is more competitive in convergence and distribution.
The non-consecutive coverage problem for the target nodes in Sensor networks could lead to the coverage blind area and a large amount of redundant data, which causes the bottleneck phenomenon for the communication lin...
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The non-consecutive coverage problem for the target nodes in Sensor networks could lead to the coverage blind area and a large amount of redundant data, which causes the bottleneck phenomenon for the communication link. A novel coverage Control Algorithm for Moving Target Nodes Based on Sensing Probability Model (CMTN-SP) is proposed in this work. Firstly, according to the probability theory, we derive the calculation method for the expectation of the coverage quality with multiple joint nodes, which aims to reduce the coverage blind area and improving network coverage rate. Secondly, we employ the dynamic transferring mechanism of the nodes to re-optimize the deployment of the nodes, which alleviates the rapid exhaustion of the proper network energy. Finally, it is verified via the results of the simulation that the networkcoverage quality could not only be improved by the proposed algorithm, but the proposed algorithm could also effectively curb the rapid exhaustion of the node energy.
To reduce the blind zone in networkcoverage, we propose a coverage optimization algorithm of wireless sensor network based on mobile nodes. This algorithm calculates the irregularity of blind zone in networkcoverage...
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To reduce the blind zone in networkcoverage, we propose a coverage optimization algorithm of wireless sensor network based on mobile nodes. This algorithm calculates the irregularity of blind zone in networkcoverage and obtains the minimum approximate numerical solution by utilizing the quantitative relationship between energy consumption of related nodes and the position of the mobile nodes. After determining the optimal relative position of the mobile nodes, the problem of blind zone between the static nodes is addressed. Simulation result shows that the proposed algorithm has high dynamic adaptability and can address the problem of blind zone maximally. Besides increasing the networkcoverage, the algorithm also reduces the network energy consumption, optimizes networkcoverage control and exhibits high convergence.
network coverage rate is a key standard of measuring the quality of networkcoverage. This thesis aims at solving the differences between node energy and task, which causes coverage holes and blind spots of Wireless S...
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network coverage rate is a key standard of measuring the quality of networkcoverage. This thesis aims at solving the differences between node energy and task, which causes coverage holes and blind spots of Wireless Sensor network, and proposes a coverage algorithm, based on key node scheduling, divides node subsets, and adjusts the states of individual nodes according to node energy and coveragerate. This algorithm ensures network connectivity while reducing coverage holes and redundancy. Simulation results show that, the proposed algorithm can effectively reduce failure nodes, energy consumption, improve network coverage rate, and demonstrates network convergence and stability.
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