scholarly journals Improved Virtual Potential Field Algorithm Based on Probability Model in Three-Dimensional Directional Sensor Networks

2012 ◽  
Vol 8 (5) ◽  
pp. 942080 ◽  
Author(s):  
Junjie Huang ◽  
Lijuan Sun ◽  
Ruchuan Wang ◽  
Haiping Huang
Keyword(s):  
Sensor Networks ◽  
Potential Field ◽  
Probability Model ◽  
Three Dimensional ◽  
Directional Sensor Networks ◽  
Directional Sensor

Optimization of the Virtual Potential Field Based on Coverage-Enhancing Algorithm for Directional Sensor Networks

2014 ◽  
Vol 651-653 ◽  
pp. 1882-1887
Author(s):  
Jun Zhu ◽  
Chen Shi ◽  
Shan Shan Zhu ◽  
Jun Zhang
Keyword(s):  
Sensor Networks ◽  
Potential Field ◽  
Boundary Region ◽  
Sensor Nodes ◽  
Target Area ◽  
Virtual Node ◽  
Directional Sensor Networks ◽  
Coverage Ratio ◽  
Coverage Holes ◽  
Directional Sensor

After directional sensor nodes are randomly thrown into target area, coverage ratio often less than the anticipant value, in order to improve the coverage, sensor nodes should turn from overlapping regions to coverage holes by a much faster way. In this paper, we improved the existing potential field based coverage-enhancing algorithm (PFCEA), presented a optimization of the virtual potential field based on coverage-enhancing algorithm for directional sensor networks (OPFCEA), we introducing a new-style virtual node to enhance the coverage of boundary region and a new-style control for the rotation angle. By these ways, we can improve network’s performance. This algorithm enhanced the coverage ratio of the network, the simulation results show the effectiveness of the algorithm.

scholarly journals Dynamic Adjustment Optimisation Algorithm in 3D Directional Sensor Networks Based on Spherical Sector Coverage Models

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Xiaochao Dang ◽  
Chenguang Shao ◽  
Zhanjun Hao
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Three Dimensional ◽  
Target Coverage ◽  
Dynamic Adjustment ◽  
Directional Sensor Networks ◽  
Coverage Ratio ◽  
Optimisation Algorithm ◽  
Sensing Model ◽  
Directional Sensor

In directional sensor networks research, target event detection is currently an active research area, with applications in underwater target monitoring, forest fire warnings, border areas, and other important activities. Previous studies have often discussed target coverage in two-dimensional sensor networks, but these studies cannot be extensively applied to three-dimensional networks. Additionally, most of the previous target coverage detection models are based on a circular or omnidirectional sensing model. More importantly, if the directional sensor network does not design a better coverage algorithm in the coverage-monitoring process, its nodes’ energy consumption will increase and the network lifetime will be significantly shortened. With the objective of addressing three-dimensional target coverage in applications, this study proposes a dynamic adjustment optimisation algorithm for three-dimensional directional sensor networks based on a spherical sector coverage model, which improves the lifetime and coverage ratio of the network. First, we redefine the directional nodes’ sensing model and use the three-dimensional Voronoi method to divide the regions where the nodes are located. Then, we introduce a correlation force between the target and the sensor node to optimise the algorithm’s coverage mechanism, so that the sensor node can accurately move to the specified position for target coverage. Finally, by verifying the feasibility and accuracy of the proposed algorithm, the simulation experiments demonstrate that the proposed algorithm can effectively improve the network coverage and node utilisation.

An Improved Algorithm of Virtual Potential Field in Directional Sensor Networks

2011 ◽  
Vol 467-469 ◽  
pp. 1562-1568 ◽  
Author(s):  
Jun Jie Huang ◽  
Yi Shi ◽  
Li Juan Sun ◽  
Ru Chuan Wang ◽  
Hai Ping Huang
Keyword(s):  
Sensor Networks ◽  
Potential Field ◽  
Energy Cost ◽  
Simulation Experiment ◽  
The Novel ◽  
Directional Sensor Networks ◽  
Virtual Force ◽  
Virtual Field ◽  
Improved Algorithm ◽  
Directional Sensor

In view of the irrationality that traditional virtual potential field algorithms brought about on the criterion for the generation of virtual force in directional sensor networks, we propose a novel criterion for judgment. Cross-set test is used to determine whether the sensory region has any overlap, thereby restrain the energy cost of nodes and the performance of the algorithm is improved. In simulation experiment, the validity of the novel criterion and IAPD (improved algorithm of virtual potential field in directional sensor networks) are verified by the compare of IAPD and traditional virtual field algorithms.

scholarly journals Surface coverage algorithm in directional sensor networks for three-dimensional complex terrains

2016 ◽  
Vol 21 (4) ◽  
pp. 397-406 ◽  
Author(s):  
Fu Xiao ◽  
Xiekun Yang ◽  
Meng Yang ◽  
Lijuan Sun ◽  
Ruchuan Wang ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Surface Coverage ◽  
Three Dimensional ◽  
Directional Sensor Networks ◽  
Directional Sensor
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