Three dimensional target tracking via Underwater Acoustic Wireless Sensor Network

Author(s):  
S. Mohamad Dehnavi ◽  
Moosa Ayati ◽  
Mohammad Reza Zakerzadeh
2014 ◽  
Vol 989-994 ◽  
pp. 4169-4174
Author(s):  
Xiang Yu Wei ◽  
Cheng Zhu ◽  
Shi Dong Qiao

The self-positioning for the nodes is the prerequisite for wireless sensor network to work, especially considering that the deployment of underwater node changes rapidly in position. Taking the issue of energy efficiency and prolong the network lifetime into account, the energy-efficient positioning technology of the underwater acoustic sensor network is studied in this paper .Brief introduction of the current node positioning technology is concluded in this paper too. Similarly to the overlapping ideological positioning algorithm FTPL we introduce RSSI but not for the ranging. Also discuss the inadequacies of our new algorithm, and the possible improvements. Simulation results show that the improved algorithm has good improvement in both the accuracy and the energy efficiency.


2016 ◽  
Vol 89 ◽  
pp. 193-202 ◽  
Author(s):  
Abhishek Joshi ◽  
Sarang Dhongdi ◽  
K.R. Anupama ◽  
Pritish Nahar ◽  
Rishabh Sethunathan

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Iram Javed ◽  
Xianlun Tang ◽  
Kamran Shaukat ◽  
Muhammed Umer Sarwar ◽  
Talha Mahboob Alam ◽  
...  

In a wireless sensor network (WSN), node localization is a key requirement for many applications. The concept of mobile anchor-based localization is not a new concept; however, the localization of mobile anchor nodes gains much attention with the advancement in the Internet of Things (IoT) and electronic industry. In this paper, we present a range-free localization algorithm for sensors in a three-dimensional (3D) wireless sensor networks based on flying anchors. The nature of the algorithm is also suitable for vehicle localization as we are using the setup much similar to vehicle-to-infrastructure- (V2I-) based positioning algorithm. A multilayer C-shaped trajectory is chosen for the random walk of mobile anchor nodes equipped with a Global Positioning System (GPS) and broadcasts its location information over the sensing space. The mobile anchor nodes keep transmitting the beacon along with their position information to unknown nodes and select three further anchor nodes to form a triangle. The distance is then computed by the link quality induction against each anchor node that uses the centroid-based formula to compute the localization error. The simulation shows that the average localization error of our proposed system is 1.4 m with a standard deviation of 1.21 m. The geometrical computation of localization eliminated the use of extra hardware that avoids any direct communication between the sensors and is applicable for all types of network topologies.


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