Target Positioning Based on Particle Centroid Drift in Large-Scale WSNs
Reads0
Chats0
TLDR
This paper proposes a particle centroid drift (PCD) algorithm to reduce the distance errors between nodes and obtain the particle aggregation region by using the drift vector, which has low estimation errors, a good tracking effect and an acceptable time complexity.Abstract:
The localization problem of target nodes remains unresolved, especially in large-scale and complex environments. In this paper, we propose a particle centroid drift (PCD) algorithm to reduce the distance errors between nodes and obtain the particle aggregation region by using the drift vector. First, we use the particle quality prediction function to obtain the particles in a high-likelihood region. The high-quality particles have high probability in the calculation, which can increase the number of effective particles and enable avoiding particle degradation. Then, the centroid drift vector is used to make the particle distribution similar to the actual reference distribution. Experiments are conducted on state-space models: the local movement where 55% nodes are moving and the globe movement where 100% nodes are moving. The results show that the proposed algorithm has low estimation errors, a good tracking effect and an acceptable time complexity.read more
Citations
More filters
Journal ArticleDOI
IIBE: An Improved Identity-Based Encryption Algorithm for WSN Security
TL;DR: In this paper, an improved identity-based encryption algorithm (IIBE) is proposed, which can effectively simplify the key generation process, reduce the network traffic, and improve the network security.
Journal ArticleDOI
Improved trilateration for indoor localization: Neural network and centroid-based approach:
TL;DR: In this article, location awareness is the key to success to many location-based services applications such as indoor navigation, elderly tracking, emergency management, and so on, such as Trilateration-based localization.
Journal ArticleDOI
Building a Cross-Border E-Commerce Ecosystem Model Based on Block Chain + Internet of Things
Jie Du,Zhaoyan Yu +1 more
TL;DR: Wang et al. as discussed by the authors analyzed the stable evolution strategy of both for convergence development and proposes countermeasures for the convergence development of new Internet technology and cross-border e-commerce platform ecosystem of RFID technology logistics tracking and blockchain authentic product traceability.
Journal ArticleDOI
Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning
TL;DR: In this paper , a convolutional neural network-based learner emotion recognition method was proposed, which includes three convolution layers, three pooling layers, and one fully connected layer.
Journal ArticleDOI
Research on Intelligent English Translation Method Based on the Improved Attention Mechanism Model
TL;DR: This article proposed an attention coding and decoding model to address the shortcomings of traditional machine translation algorithms, combining the attention mechanism with a neural network framework, and implement the whole English translation system based on TensorFlow, thus improving the translation accuracy.
References
More filters
Journal ArticleDOI
GPS-less low-cost outdoor localization for very small devices
TL;DR: This work reviews localization techniques and evaluates the effectiveness of a very simple connectivity metric method for localization in outdoor environments that makes use of the inherent RF communications capabilities of these devices.
Journal ArticleDOI
Location systems for ubiquitous computing
TL;DR: This survey and taxonomy of location systems for mobile-computing applications describes a spectrum of current products and explores the latest in the field to help developers of location-aware applications better evaluate their options when choosing a location-sensing system.
Journal ArticleDOI
Statistical NLOS Identification Based on AOA, TOA, and Signal Strength
TL;DR: This paper focuses on the identification of NLOS conditions by employing the statistical decision theory, and the proposed methods are robust to the model errors, as demonstrated through simulations.
Journal ArticleDOI
Distributed Hybrid Particle/FIR Filtering for Mitigating NLOS Effects in TOA-Based Localization Using Wireless Sensor Networks
TL;DR: A new NLOS identification algorithm based on distributed filtering to mitigate NLOS effects, including localization failures, is proposed, rather than processing all measurements via a single filter, which distributes the measurements among several local filters.
Journal ArticleDOI
Sensor Position Determination with Flying Anchors in Three-Dimensional Wireless Sensor Networks
Chia-Ho Ou,Kuo-Feng Ssu +1 more
TL;DR: This paper presents a range-free position determination (localization) mechanism for sensors in a three-dimensional wireless sensor network based on the use of flying anchors that outperforms both Centroid and Constraint in terms of a higher location accuracy, a reduced localization time, and a lower beacon overhead.