Journal ArticleDOI
Localization algorithms of Wireless Sensor Networks: a survey
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TLDR
The localization algorithms are reclassified with a new perspective based on the mobility state of landmarks and unknown nodes, and a detailed analysis of the representative localization algorithms is presented.Abstract:
In Wireless Sensor Networks (WSNs), localization is one of the most important technologies since it plays a critical role in many applications, e.g., target tracking. If the users cannot obtain the accurate location information, the related applications cannot be accomplished. The main idea in most localization methods is that some deployed nodes (landmarks) with known coordinates (e.g., GPS-equipped nodes) transmit beacons with their coordinates in order to help other nodes localize themselves. In general, the main localization algorithms are classified into two categories: range-based and range-free. In this paper, we reclassify the localization algorithms with a new perspective based on the mobility state of landmarks and unknown nodes, and present a detailed analysis of the representative localization algorithms. Moreover, we compare the existing localization algorithms and analyze the future research directions for the localization algorithms in WSNs.read more
Citations
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Journal ArticleDOI
A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks
Guangjie Han,Jinfang Jiang,Chenyu Zhang,Trung Q. Duong,Mohsen Guizani,George K. Karagiannidis +5 more
TL;DR: This survey presents a review of the most successful MANAL algorithms, focusing on the achievements made in the past decade, and aims to become a starting point for researchers who are initiating their endeavors in MANAL research field.
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A Survey on Successors of LEACH Protocol
TL;DR: This paper surveys the variants of LEACH routing protocols proposed so far and discusses the enhancement and working of them, and makes suggestions on future research domains in the area of WSN.
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Cloud-Supported Cyber–Physical Localization Framework for Patients Monitoring
TL;DR: This paper proposes a cloud-supported cyber–physical localization system for patient monitoring using smartphones to acquire voice and electroencephalogram signals in a scalable, real-time, and efficient manner and uses Gaussian mixture modeling for localization to outperform other similar methods in terms of error estimation.
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Location of Things (LoT): A Review and Taxonomy of Sensors Localization in IoT Infrastructure
TL;DR: A recent extensive analysis of localization techniques and hierarchical taxonomy and their applications in the different context is presented and this taxonomy of the localization technique is classified based on presence of offline training in localization, namely self-determining and training dependent approaches.
Journal ArticleDOI
Advances on localization techniques for wireless sensor networks
TL;DR: The main goal in this paper is to present the state-of-the-art research results and approaches proposed for localization in WSNs by considering a wide variety of factors and categorizing them in terms of data processing, routing, algorithms, etc.
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TL;DR: This paper presents APIT, a novel localization algorithm that is range-free, and shows that the APIT scheme performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.
Proceedings ArticleDOI
Range-free localization schemes for large scale sensor networks
TL;DR: In this paper, the authors present APIT, a novel localization algorithm that is range-free, which performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired.