@Article{cmc.2020.011003,
AUTHOR = {Jing Wang, Anqi Hou, Yuanfei Tu, Hong Yu},
TITLE = {An Improved DV-Hop Localization Algorithm Based on Selected  Anchors},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {1},
PAGES = {977--991},
URL = {http://www.techscience.com/cmc/v65n1/39607},
ISSN = {1546-2226},
ABSTRACT = {Wireless Sensor Network (WSN) based applications has been extraordinarily 
helpful in monitoring interested area. Only information of surrounding environment with 
meaningful geometric information is useful. How to design the localization algorithm that 
can effectively extract unknown node position has been a challenge in WSN. Among all 
localization technologies, the Distance Vector-Hop (DV-Hop) algorithm has been most 
popular because it simply utilizes the hop counts as connectivity measurements. This paper 
proposes an improved DV-Hop based algorithm, a centroid DV-hop localization with 
selected anchors and inverse distance weighting schemes (SIC-DV-Hop). We adopt an 
inverse distance weighting method for average distance amelioration to improve accuracy. 
Also in this paper, we propose an inclusive checking rule to select proper anchors to avoid 
the inconsistency existing in centroid localization schemes. Finally, an improved 
multilateration centroid method is presented for the localization. Simulations are conducted 
on two different network topologies and experiments results show that compared with 
existing DV-Hop based algorithms, our algorithm can significantly improve the 
performance meanwhile cost less network resource.},
DOI = {10.32604/cmc.2020.011003}
}