Location estimation is essential in any Wireless Sensor Network (WSN). A novel range-free localization approach has been proposed in this research that is based on multidimensional support vector regression (MSVR). To solve the regression problem, in this research a new training method for MSVR is proposed. The proposed localization approach is formulated in such a manner that the unknown sensor node position is calculated by using the position information of known actuator node by using proximity measurements. The simulations for the proposed schemes are done for both anisotropic and isotropic networks and also for both 2-D and 3-D environments. The simulated results showed the excellent performance by the proposed schemes in various scenarios as compared with the already existing schemes.
Wireless Personal Communications – Springer Journals
Published: Aug 17, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera