VPIT: An Improved Range-Free Localization Algorithm Using Voronoi Diagrams for Wireless Sensor Networks

Sun, Xingming; Hu, Yachao; Wang, Baowei; Zhang, Jian; Li, Tao

doi:10.14257/ijmue.2015.10.8.03

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Figure 1, the centroid of the overlap polygon is the estimated coordinates of the unknown nodes. From Figure 1, the black spot is the unknown node coordinate [18,19]. The main phase of APIT is shown in Figure 2.…”

Section: Related Workmentioning

confidence: 99%

HTCRL: A Range-Free Location Algorithm Based on Homothetic Triangle Cyclic Refinement in Wireless Sensor Networks

et al. 2017

View full text Add to dashboard Cite

Abstract:Wireless sensor networks (WSN) have become a significant technology in recent years. They can be widely used in many applications. WSNs consist of a large number of sensor nodes and each of them is energy-constrained and low-power dissipation. Most of the sensor nodes are tiny sensors with small memories and do not acquire their own locations. This means determining the locations of the unknown sensor nodes is one of the key issues in WSN. In this paper, an improved APIT algorithm HTCRL (Homothetic Triangle Cyclic Refinement Location) is proposed, which is based on the principle of the homothetic triangle. It adopts perpendicular median surface cutting to narrow down target area in order to decrease the average localization error rate. It reduces the probability of misjudgment by adding the conditions of judgment. It can get a relatively high accuracy compared with the typical APIT algorithm without any additional hardware equipment or increasing the communication overhead.

show abstract

Section: Related Workmentioning

confidence: 99%

HTCRL: A Range-Free Location Algorithm Based on Homothetic Triangle Cyclic Refinement in Wireless Sensor Networks

et al. 2017

View full text Add to dashboard Cite

show abstract

Improved Multi-hop Localization Algorithm with Network Division

Zhao

Chang

et al. 2018

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Sensors Networks - Localization and Topology

Sfendourakis

Nilavalan

Antonidakis³

2016

2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

View full text Add to dashboard Cite

This paper examines various types of networks their characteristics and parameters. It is also looks in current ongoing research on the field of localization and positioning and work related with localization that doesn't take into account the parameter of distance between SRs. Another type of localization is also commented which is the localization in Telemetry. In addition, issues of network coverage and topology are analyzed. Network hole problems are also examined as they are of high importance when a network has to perform accurately and with a minor number of areas that are problematic or may degrade it's performance. It is easily understood that a network's overall performance is affected by a combination of attributes that need to be examined on a case by case basis.

show abstract

VPIT: An Improved Range-Free Localization Algorithm Using Voronoi Diagrams for Wireless Sensor Networks

Abstract: Localization systems have been identified as key issues in the development

Cited by 3 publications

References 15 publications

HTCRL: A Range-Free Location Algorithm Based on Homothetic Triangle Cyclic Refinement in Wireless Sensor Networks

HTCRL: A Range-Free Location Algorithm Based on Homothetic Triangle Cyclic Refinement in Wireless Sensor Networks

Improved Multi-hop Localization Algorithm with Network Division

Sensors Networks - Localization and Topology

Contact Info

Product

Resources

About