Three-dimensional localization scheme based on layer in wireless sensor networks

2010 ◽  
Author(s):  
Wen Liu ◽  
Guangpu Xue ◽  
Zhongliang Deng ◽  
Lianming Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Three Dimensional ◽  
Wireless Sensor ◽  
Localization Scheme

An Efficient Three-Dimensional Localization Scheme Using Trilateration in Wireless Sensor Networks

2014 ◽  
Vol 18 (9) ◽  
pp. 1591-1594 ◽  
Author(s):  
Jung-Kyu Lee ◽  
Youngjoon Kim ◽  
Jong-Ho Lee ◽  
Seong-Cheol Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Three Dimensional ◽  
Wireless Sensor ◽  
Localization Scheme

scholarly journals A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4293
Author(s):  
Junhai Luo ◽  
Yang Yang ◽  
Zhiyan Wang ◽  
Yanping Chen ◽  
Man Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Large Scale ◽  
Time Synchronization ◽  
Three Dimensional ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Underwater Environment ◽  
Localization Scheme

As one of the important facilities for marine exploration, as well as environment monitoring, access control, and security, underwater wireless sensor networks (UWSNs) are widely used in related military and civil fields, since the sensor node localization is the basis of UWSNs’ application in various related fields. Therefore, the research of localization algorithms based on UWSNs has gradually become one of the research hotspots today. However, unlike terrestrial wireless sensor networks (WSNs), many terrestrial monitoring and localization technologies cannot be directly applied to the underwater environment. Moreover, due to the complexity and particularity of the underwater environment, the localization of underwater sensor nodes still faces challenges, such as the localization ratio of sensor nodes, time synchronization, localization accuracy, and the mobility of nodes. In this paper, we propose a mobility-assisted localization scheme with time synchronization-free feature (MALS-TSF) for three-dimensional (3D) large-scale UWSNs. In addition, the underwater drift of the sensor node is considered in this scheme. The localization scheme can be divided into two phases. In Phase I, anchor nodes are distributed in the monitoring area, reducing the monitoring cost. Then, we address a time-synchronization-free localization scheme, to obtain the coordinates of the unknown sensor nodes. In Phase II, we use the method of two-way TOA to locate the remaining ordinary sensor nodes. The simulation results show that MALS-TSF can achieve a relatively high localization ratio without time synchronization.

scholarly journals An Efficient Hybrid RSS-AoA Localization for 3D Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2121 ◽  
Author(s):  
Thu L. N. Nguyen ◽  
Tuan D. Vy ◽  
Yoan Shin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Measurement Errors ◽  
Dimensional Space ◽  
Weighted Least Squares ◽  
Three Dimensional ◽  
Path Loss ◽  
Wireless Sensor ◽  
Angle Of Arrival ◽  
Localization Scheme

Wireless sensor networks (WSNs) enable many applications such as intelligent control, prediction, tracking, and other communication network services, which are integrated into many technologies of the Internet-of-Things. The conventional localization frameworks may not function well in practical environments since they were designed either for two-dimensional space only, or have high computational costs, or are sensitive to measurement errors. In order to build an accurate and efficient localization scheme, we consider in this paper a hybrid received signal strength and angle-of-arrival localization in three-dimensional WSNs, where sensors are randomly deployed with the transmit power and the path loss exponent unknown. Moreover, in order to avoid the difficulty of solving the conventional maximum-likelihood estimator due to its non-convex and highly complex natures, we derive a weighted least squares estimate to estimate jointly the location of the unknown node and the two aforementioned channel components through some suitable approximations. Simulation results confirm the effectiveness of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document