@Article{iasc.2020.013919,
AUTHOR = {T. Zhang, D. G. Zhang, X. H. Liu, C. L. Gong},
TITLE = {A Novel WSN-Oriented Locating Approach Based on Density},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {429--437},
URL = {http://www.techscience.com/iasc/v26n3/40002},
ISSN = {2326-005X},
ABSTRACT = {It is known that the locating accuracy of the traditional Distance Vector-HOP
(DV-HOP) approach in a Wireless Sensor Network (WSN) depends on the
density of the anchor node. A novel WSN-oriented locating approach based on
a node's density is proposed in this paper. The approach can compute the
distance of the node based on the maximum likelihood estimation strategy. It
can improve the accuracy ratio of the measuring distance among the nodes.
The relative nodes of a WSN can find the average hop distances by estimating
the distances from themselves to their circular nodes. In order to assess the
performance of the approach, the belief degree of locating is computed based
on the possibility theory by our suggested fusion mechanism. This is a feasible
method to solve the dependence problem of the DV-HOP algorithm on the
anchor node density. Results of many simulation tests of the application show
that our proposed WSN-oriented locating approach based on node density can
improve the accuracy ratio of the measuring distance and the correctness of
locating.},
DOI = {10.32604/iasc.2020.013919}
}