htcrl: a range-free location algorithm based on homothetic triangle cyclic refinement in wireless sensor networks
Clicks: 236
ID: 167490
2017
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
74.4
/100
235 views
189 readers
Trending
AI Quality Assessment
Not analyzed
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.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (154 words).
Try re-searching for a better abstract.
| Reference Key |
zhang2017informationhtcrl:
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Dan Zhang;Zhiyi Fang;Hongyu Sun;Jie Cao |
| Journal | psychoanalytic review |
| Year | 2017 |
| DOI |
10.3390/info8020040
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.