A node localization scheme for zigbee-based sensor networks

Author(s):  
Ernesto Navarro-Alvarez ◽  
Mario Siller
2021 ◽  
Vol 15 (1) ◽  
pp. 1-26
Author(s):  
Sudip Misra ◽  
Tamoghna Ojha ◽  
Madhusoodhanan P

Node localization is a fundamental requirement in underwater sensor networks (UWSNs) due to the ineptness of GPS and other terrestrial localization techniques in the underwater environment. In any UWSN monitoring application, the sensed information produces a better result when it is tagged with location information. However, the deployed nodes in UWSNs are vulnerable to many attacks, and hence, can be compromised by interested parties to generate incorrect location information. Consequently, using the existing localization schemes, the deployed nodes are unable to autonomously estimate the precise location information. In this regard, similar existing schemes for terrestrial wireless sensor networks are not applicable to UWSNs due to its inherent mobility, limited bandwidth availability, strict energy constraints, and high bit-error rates. In this article, we propose SecRET , a <underline>Sec</underline>ure <underline>R</underline>ange-based localization scheme empowered by <underline>E</underline>vidence <underline>T</underline>heory for UWSNs. With trust-based computations, the proposed scheme, SecRET , enables the unlocalized nodes to select the most reliable set of anchors with low resource consumption. Thus, the proposed scheme is adaptive to many attacks in UWSN environment. NS-3 based performance evaluation indicates that SecRET maintains energy-efficiency of the deployed nodes while ensuring efficient and secure localization, despite the presence of compromised nodes under various attacks.


2009 ◽  
Vol 6 (3) ◽  
pp. 167-172 ◽  
Author(s):  
Q. Shi ◽  
H. Huo ◽  
T. Fang ◽  
D. Li

Author(s):  
Archana Toky ◽  
Rishi Pal Singh ◽  
Sanjoy Das

Background: Underwater Acoustic Sensor Networks (UWASNs) have been proposed for the hard oceanographic application where human efforts are not possible. In UWASNs localization is a challenging task due to unavailability of Global Positioning System (GPS), high propagation delay and the dynamic mobility of the sensor nodes due to ocean dynamics. Objective: To address the issues related to the localization of the sensors for the network deployed under water. This paper presents a localization scheme specially designed for UWASNs. Method: In this paper, we propose a localization scheme using Angle-of-Arrival (AoA) technique for UWASNs. The proposed localization scheme is divided into Angle estimation phase, Projection Phase and Localization phase. The angle estimation phase estimations the angle of the signal arriving at the sensors. The projection phase converts the 3-Dimensional localization problem in equivalent 2-Dimensional by projecting the sensor nodes to a virtual projection plane. In the localization phase, the position of the sensor nodes is estimated based on the Angle-of-Arrival and distance from neighboring nodes information. Results: The simulation result shows that the proposed scheme provides a high localization ratio and Localization coverage with less energy consumption. Conclusion: A distributed range-based localization scheme for UWASNs using AoA technique is presented. The localization scheme projects the sensor nodes to a virtual plane and calculates the angle of signals initiated by the reference nodes. The scheme provides a great success in node localization and network coverage.


Author(s):  
Meiyan Zhang ◽  
Wenyu Cai

Background: Effective 3D-localization in mobile underwater sensor networks is still an active research topic. Due to the sparse characteristic of underwater sensor networks, AUVs (Autonomous Underwater Vehicles) with precise positioning abilities will benefit cooperative localization. It has important significance to study accurate localization methods. Methods: In this paper, a cooperative and distributed 3D-localization algorithm for sparse underwater sensor networks is proposed. The proposed algorithm combines with the advantages of both recursive location estimation of reference nodes and the outstanding self-positioning ability of mobile AUV. Moreover, our design utilizes MMSE (Minimum Mean Squared Error) based recursive location estimation method in 2D horizontal plane projected from 3D region and then revises positions of un-localized sensor nodes through multiple measurements of Time of Arrival (ToA) with mobile AUVs. Results: Simulation results verify that the proposed cooperative 3D-localization scheme can improve performance in terms of localization coverage ratio, average localization error and localization confidence level. Conclusion: The research can improve localization accuracy and coverage ratio for whole underwater sensor networks.


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