Wireless sensor networks have been widely researched and developed in recent years. The node deployment problem is a multi-dimensional nonlinear optimization problem with continuous discrete variables. In order to imp...
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Wireless sensor networks have been widely researched and developed in recent years. The node deployment problem is a multi-dimensional nonlinear optimization problem with continuous discrete variables. In order to improve the coverage effect of wireless sensor networks, a network coverage algorithm based on evidence theory is proposed. The motion direction of the wireless sensor node is calculated. The wireless sensor node is moved to the area with low perception probability. Improve the network coverage effect. Reduce the moving distance of wireless sensor nodes. Extended the service time of wireless sensor network. The simulation results show that this algorithm can improve the coverage effect of the monitoring area and reduce the moving distance of nodes effectively.
Underwater wireless sensor networks (UWSNs) applications for ocean monitoring, deep sea surveillance, and locating natural resources are gaining more and more popularity. To monitor the underwater environment or any o...
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Underwater wireless sensor networks (UWSNs) applications for ocean monitoring, deep sea surveillance, and locating natural resources are gaining more and more popularity. To monitor the underwater environment or any object within a certain area of interest, these applications are required to deploy underwater node sensors connected for obtaining useful data. For thriving UWSNs, it is essential that an efficient and secure node deployment mechanism is in place. This paper presents a novel node deployment scheme, which is based on evidence theory approach and caters for 3D USWNs. This scheme implements sonar probability perception and an enhanced data fusion model to improve prior probability deploymentalgorithm of D-S evidence theory. The viability of our algorithm is verified by performing multiple simulation experiments. The simulation results reveal that our algorithm deploys fewer nodes with enhanced network judgment criteria and expanded detection capabilities for a relatively large coverage area compared to other schemes. In addition, the generated nodes are also less resource intensive, i.e., low-power sensor nodes.
Wireless sensor network nodesdeployment optimization problem is studied and wireless sensor nodesdeployment determines its capability and lifetime. A heterogeneous wireless sensor network nodes deployment algorithm ...
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ISBN:
(纸本)9781479925186;9781479925193
Wireless sensor network nodesdeployment optimization problem is studied and wireless sensor nodesdeployment determines its capability and lifetime. A heterogeneous wireless sensor network nodes deployment algorithm based on the perceived probability model aiming at the heterogeneous wireless sensor network nodes which are random deployed is designed in this article. The perceived probability model is used to calculate the perceived probability in the area around the heterogeneous wireless sensor nodes and transform virtual force algorithm. The algorithm moves the heterogeneous wireless sensor nodes to the low perceived probability area and achieves the maximum coverage of the monitoring area. The simulation result shows this deploymentalgorithm achieves the goal of the nodes reasonable distribution with improving the network coverage effect and reducing the nodes movement distance thus extends the lifetime of heterogeneous wireless sensor network.
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