Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions

Malicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a <bold>C</bold>ompressed <bold>S</bold>ensing for <bold>M</bold>alicious node <bo...

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Main Authors: Prateek, Kundan Kumar, Krishna Pandey, Saurabh Chandra, Rajeev Arya
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9661400/
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author Prateek
Kundan Kumar
Krishna Pandey
Saurabh Chandra
Rajeev Arya
author_facet Prateek
Kundan Kumar
Krishna Pandey
Saurabh Chandra
Rajeev Arya
author_sort Prateek
collection DOAJ
description Malicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a <bold>C</bold>ompressed <bold>S</bold>ensing for <bold>M</bold>alicious node <bold>C</bold>ompensation theorem (abbreviated as CS-MC Theorem) which would be applicable to underwater localization. To counter malicious node behavior, CS-MC Theorem is justified through three lemmas. For underwater acoustic propagation, a specific L<sub>1</sub>-norm minimization method is derived. It describes the condition for unique localization of target by discretizing the target search space. Malicious node is identified by inserting the anchor nodes into the discretized grid. An insertion vector concept is introduced to determine the extent of node metastasis. Derivations are performed to prove the mathematical basis of the proposed algorithm under acoustically stratified and unstratified scenarios. Numerical results establish the feasibility of CS-MC algorithm for sparse underwater acoustic sensor network.
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spelling doaj.art-f705c8af07154fa290715be84c0b17d52022-12-21T21:20:06ZengIEEEIEEE Access2169-35362021-01-01916937216938610.1109/ACCESS.2021.31380259661400Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions Prateek0https://orcid.org/0000-0002-5171-8173Kundan Kumar1Krishna Pandey2Saurabh Chandra3Rajeev Arya4https://orcid.org/0000-0002-0346-2150Department of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaDepartment of Electronics and Communication Engineering, Wireless Sensor Networks Laboratory, National Institute of Technology Patna, Patna, Bihar, IndiaMalicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a <bold>C</bold>ompressed <bold>S</bold>ensing for <bold>M</bold>alicious node <bold>C</bold>ompensation theorem (abbreviated as CS-MC Theorem) which would be applicable to underwater localization. To counter malicious node behavior, CS-MC Theorem is justified through three lemmas. For underwater acoustic propagation, a specific L<sub>1</sub>-norm minimization method is derived. It describes the condition for unique localization of target by discretizing the target search space. Malicious node is identified by inserting the anchor nodes into the discretized grid. An insertion vector concept is introduced to determine the extent of node metastasis. Derivations are performed to prove the mathematical basis of the proposed algorithm under acoustically stratified and unstratified scenarios. Numerical results establish the feasibility of CS-MC algorithm for sparse underwater acoustic sensor network.https://ieeexplore.ieee.org/document/9661400/Underwater sensor localizationcompressive acoustic sensingsound speed stratificationinsertion functionmalicious anchor node
spellingShingle Prateek
Kundan Kumar
Krishna Pandey
Saurabh Chandra
Rajeev Arya
Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
IEEE Access
Underwater sensor localization
compressive acoustic sensing
sound speed stratification
insertion function
malicious anchor node
title Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
title_full Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
title_fullStr Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
title_full_unstemmed Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
title_short Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions
title_sort evaluation of node metastasis in sparse underwater acoustic sensor networks for localization under acoustically stratified malicious node conditions
topic Underwater sensor localization
compressive acoustic sensing
sound speed stratification
insertion function
malicious anchor node
url https://ieeexplore.ieee.org/document/9661400/
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