Abstract
In wireless communications, localization has attracted attention from many researchers. Most of the researches focus on isotropic topologies, but in practical scenarios, wireless ad-hoc networks usually have irregular shapes (anisotropic topologies). For anisotropic topologies, many localization algorithms have failed to estimate the location of nodes. This paper proposes a new algorithm based on Self-Organizing Maps (SOM) to deal with this issue. Our proposed algorithm utilizes only connectivity information and information from some heard anchors in the network to determine the location of nodes. By efficiently utilizing the information from anchors and surrounding neighbors, our algorithm minimizes the error in anisotropic networks. From our intensive simulations, the results show that the proposed scheme improves the localization accuracy for anisotropic networks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.