Authors: Xiaoyong Yan Zhong Yang Aiguo Song Wankou Yang Yu Liu Ronghui Zhu
Publish Date: 2015/09/01
Volume: 87, Issue: 1, Pages: 269-292
Abstract
In internet of things IoT study to determine that the location of an event is the key issue realize that a target location in IoT is one of the research hotspots by using the multihop rangefree method Multihop rangefree could obtain relatively reasonable location estimation in the isotropic network however during the practical application it tends to be affected by various anisotropic factors such as the electromagnetic interference barriers and network attack which can significantly reduce its performance In accordance with these problems faced by multihop rangefree this paper proposes a novel IoT localization method location estimationkernel partial least squares LEKPLS First of all this method uses kernel function to define the connectivity information hopcounts between nodes then the maximum covariance is used to guide and build the internode localization model and then this model and the hopcounts between the unknown nodes and beacons are used to estimate the coordinate of the unknown nodes Compared to the existing methods the LEKPLS has a high localization precision great stability and strong generalization performance without having a high requirement of the number of beacons and it can well adapt to numerous complicated environmentsThe paper is sponsored by the NSF of China 61272379 Prospective and Innovative Project of Jiangsu Province BY2012201 China Postdoctoral Science Foundation 2015M571633 Jiangsu Postdoctoral Science Foundation 1401016B Natural Science Foundation of the Jiangsu Higher Education Institutions of China 15KJB520009 Project of Modern Educational Technology of Jiangsu Province 2015R42440 Jiangsu Province Undergraduate Training Programs for Innovation and Entrepreneurship 201513573005Z and Doctoral Scientific Research Startup Foundation of Jinling Institute of Technology JITB201411
Keywords: