NDLI: A Novel Multihop Range-Free Localization Based on Kernel Learning Approach for the Internet of Things

Content Provider	Springer Nature Link
Author	Yan, Xiaoyong Yang, Zhong Song, Aiguo Yang, Wankou Liu, Yu Zhu, Ronghui
Copyright Year	2015
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 range-free method. Multihop range-free 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 range-free, this paper proposes a novel IoT localization method: location estimation-kernel partial least squares (LE-KPLS). First of all, this method uses kernel function to define the connectivity information (hop-counts) between nodes, then, the maximum covariance is used to guide and build the inter-node localization model, and then, this model and the hop-counts between the unknown nodes and beacons are used to estimate the coordinate of the unknown nodes. Compared to the existing methods, the LE-KPLS 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 environments.
Starting Page	269
Ending Page	292
Page Count	24
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	87
Issue Number	1
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2015-09-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Internet of things Wireless sensor network Multihop range-free localization Kernel partial least Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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