Protection Research of Sink Location Privacy in Underwater Sensor Networks

2019 ◽  
Author(s):  
Xiaoning Feng ◽  
Zhuo Wang ◽  
Ning Han
Keyword(s):  
Sensor Networks ◽  
Location Privacy ◽  
Underwater Sensor Networks ◽  
Sink Location

Protecting the sink location privacy in wireless sensor networks

2012 ◽  
Vol 17 (5) ◽  
pp. 883-893 ◽  
Author(s):  
Lin Yao ◽  
Lin Kang ◽  
Pengfei Shang ◽  
Guowei Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Location Privacy ◽  
Wireless Sensor ◽  
Sink Location

Sink location privacy protection under direction attack in wireless sensor networks

2016 ◽  
Vol 23 (2) ◽  
pp. 579-591 ◽  
Author(s):  
Jian Wang ◽  
Fengyu Wang ◽  
Zhenzhong Cao ◽  
Fengbo Lin ◽  
Jiayan Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Privacy Protection ◽  
Location Privacy ◽  
Wireless Sensor ◽  
Location Privacy Protection ◽  
Sink Location

Bidirectional Random Walk Based Mobile-Sink-LocationPrivacyin WSN

2014 ◽  
Vol 529 ◽  
pp. 730-734
Author(s):  
Jun Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Random Walk ◽  
Sensor Networks ◽  
Data Collection ◽  
Location Privacy ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Random Data ◽  
Privacy Concerns ◽  
Sink Location

As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about sink-locations become a crux issue. If sink location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobile-sink-locationprivacy .In this paper, BDRW (Bidirectional Random Walk) is proposed to preserve mobile-sink-location privacy. In BDRW, data are forwarded by directional random walk and stored at pass nodes in the network, the sink move in directional random walk to collect data from the local nodes occasionally, which prevents the attackers from predicting their locations and movements. Compared to random data collection scheme, BDRW has smaller message latencies, while providing satisfactory mobile-sink-location privacy.

Multi-AUV Aided Cooperative 3D-localization for Underwater Sensor Networks

2020 ◽  
Vol 13 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Meiyan Zhang ◽  
Wenyu Cai
Keyword(s):  
Sensor Networks ◽  
Mean Squared Error ◽  
Autonomous Underwater Vehicles ◽  
Estimation Method ◽  
Location Estimation ◽  
Underwater Sensor Networks ◽  
Coverage Ratio ◽  
Minimum Mean Squared Error ◽  
3D Localization ◽  
Localization Scheme

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.

Security based on Received Signal Strength in Localization for Underwater Sensor Networks

2016 ◽  
Vol 1 (2) ◽  
pp. 1-7
Author(s):  
Karamjeet Kaur ◽  
Gianetan Singh Sekhon
Keyword(s):  
Sensor Networks ◽  
Threshold Value ◽  
Critical Issue ◽  
Sensor Nodes ◽  
Underwater Sensor Networks ◽  
Research Subjects ◽  
Malicious Nodes ◽  
Intermediate Node ◽  
End To End Delay ◽  
End To End

Underwater sensor networks are envisioned to enable a broad category of underwater applications such as pollution tracking, offshore exploration, and oil spilling. Such applications require precise location information as otherwise the sensed data might be meaningless. On the other hand, security critical issue as underwater sensor networks are typically deployed in harsh environments. Localization is one of the latest research subjects in UWSNs since many useful applying UWSNs, e.g., event detecting. Now day’s large number of localization methods arrived for UWSNs. However, few of them take place stability or security criteria. In purposed work taking up localization in underwater such that various wireless sensor nodes get localize to each other. RSS based localization technique used remove malicious nodes from the communication intermediate node list based on RSS threshold value. Purposed algorithm improves more throughput and less end to end delay without degrading energy dissipation at each node. The simulation is conducted in MATLAB and it suggests optimal result as comparison of end to end delay with and without malicious node.

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