Title
Probability Model Based Coverage-Enhancing Algorithm For Wsns Of Nodes' Adjustable Movement Pattern
Abstract
Aimed at the defects of current coverage-enhancing algorithms, firstly the probability model is introduced into the coverage-enhancing algorithm of the directional sensor network based on the virtual potential field, and the probability model would have an impact on the location of the centroid. Secondly, to the boundary coverage, through the simulation of typical algorithms which consider the boundary repulsion, it finds that the coverage rates of the corners are much lower than the overall coverage. To add a vertex force on the corner is essential and to some extent would reduce the gap between them. Finally, based on the random deployment of sensor nodes, a novel algorithm is proposed which determines whether the sensor node rotates or moves along fixed direction according to the coverage effect, named as PRMCA (probability model based rotate or move along fixed direction coverage-enhancing algorithm). A set of simulation experiments verify the performance of the proposed algorithm.
Year
DOI
Venue
2012
10.1155/2012/570643
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Field
DocType
Volume
Sensor node,Rotation,Probability model,Vertex (geometry),Computer science,Algorithm,Wireless sensor network,Potential field,Centroid
Journal
2012
Issue
ISSN
Citations 
null
1550-1477
1
PageRank 
References 
Authors
0.36
12
5
Name
Order
Citations
PageRank
Junjie Huang160.78
Haiping Huang214330.90
Peng Sun3152.04
Ruchuan Wang441464.49
Xun Wei591.99