Robust and Cooperative Localization for Underwater Sensor Networks in the Existence of Malicious Anchors

Cai, Wenyu; Yang, Jing; Zhang, Meiyan; Peng, Shu You; Yang, Junyi

doi:10.3390/s19204519

Cited by 9 publications

(7 citation statements)

References 24 publications

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“…In [74] taking presences of malicious anchored nodes in consideration, the authors propose a cooperative localization scheme. The study assumes that a certain ratio of the anchored nodes is malicious and can generate incorrect ranging information to attack the localization process.…”

Section: ) Distributed Localization Schemes Without Mobility Considementioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

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Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. This makes localization algorithms an essential part of UWSN design. This paper presents a comprehensive survey of the recently proposed literature on localization in UWSNs. The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. Moreover, in order to familiarize the readers with the basic design of the surveyed algorithms, brief description of the mode of operations of each algorithm is presented along with its strengths and weaknesses. The algorithms are divided into two categories based on their computational design i.e., centralized and distributed. Each category is further subdivided into the algorithms that consider node mobility, and those that do not. Towards the end, we present our view on the future research directions in the area of localization in UWSNs.

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Section: ) Distributed Localization Schemes Without Mobility Considementioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

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“…Most of the localization methods can be characterized into two types, that is, range-free and range-based methods. 8 In range-free method, there is no need of distance and angle information of node for localization. It can be further divided into hop count and area based.…”

Section: Introductionmentioning

confidence: 99%

“…The challenge during node localization is to maintain network's energy and location‐based routing procedures in parallel. Most of the localization methods can be characterized into two types, that is, range‐free and range‐based methods 8 . In range‐free method, there is no need of distance and angle information of node for localization.…”

Section: Introductionmentioning

confidence: 99%

Game theory based hybrid localization technique for underwater wireless sensor networks

Kumar

Goyal

Qaisi

et al. 2022

Trans Emerging Tel Tech

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In an underwater environment, it is necessary but tough to track the location of deployed sensor nodes because of node's mobility, nonavailability of GPS, node software or hardware failure and so forth. Due to these reasons, nodes cannot directly communicate with enough beacons in the neighbourhoods, resulting into localization error. This creates the need to develop the range‐based localization method that takes into consideration the features of the underwater environment with precise location estimation. The existing range‐based localization techniques involve huge computational and storage overhead along with localization latency. To solve these problems, a hybrid localization estimation technique of received signal strength (RSS) and angle of arrival (AoA) is presented in this article. In this hybrid method, AoA is estimated from the primary anchor (PA) while RSS is measured from the selected set of secondary anchors (SAs). Further, Game theory model is also applied to considerably increase the precision by choosing the optimum set of SAs even in the mobility assisted underwater environment. The proposed technique of identifying unknown sensor nodes is tested through NS2 simulation with multiple runs. The proposed technique achieves minimum localization error, delay, energy consumption and high packet delivery ratio in comparison to topology control for energy‐efficient localization, game theory based routing protocol, iterative mobile target localization, and RSS‐based localization.

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“…Several works in the literature address the broad topic of range-based techniques. The accurate node localization can also be estimated by eliminating malicious nodes from the network by using mean square error [13]. However, the authors did not address the energy efficiency of the nodes.…”

Section: Introductionmentioning

confidence: 99%

“…This algorithm had less communication overhead, low response time, and low localization error. Cai et al [13] presented a new localization technique robust and cooperative localization (RCL) with a few malicious nodes as well, which resulted in some malicious characteristics. This proposed method uses a distributed reputation voting process within a 1-hop neighboring reference node to find and eliminate the malicious sensors.…”

Section: Introductionmentioning

confidence: 99%

An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring

Goyal

Nain

Singh

et al. 2022

IEEE Can. J. Electr. Comput. Eng.

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Industries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. The location prediction of mineral reservoirs like oil, gas, or metals in deep water is a challenge during the extraction of these resources. Moreover, the problem of ores and mineral deposits on the seafloor comes into play. The abovementioned challenges necessitate for the deployment of underwater wireless sensor networks (UWSNs). Anchor-based localization techniques are segregated into range-free and range-based processes. Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI).In this article, the localization of these leakages is performed by using range-based metrics for calculating the distance among anchor nodes (ANs) and target nodes (TNs). This estimated distance is further optimized to minimize the estimation error. A multilateralism procedure is used to estimate the optimal position of each TN. The results exhibit that the proposed algorithm shows a high performance when compared to previous works, in terms of minimum energy consumption, lower packet loss, rapid location estimation, and lowest localization error. The benefit of using the proposed methodology greatly impacts on identifying the leakage area in mobility-assisted UWSN, where rapid reporting helps to lower the loss of resources. Résumé-Les industries ont besoin de solutions permettant de surveiller automatiquement les fuites de pétrole des pipelines sous-marins déployés et de signaler rapidement tout dommage. La prédiction de l'emplacement des réservoirs de minéraux comme le pétrole, le gaz ou les métaux en eaux profondes est un défi lors de l'extraction de ces ressources. En outre, le problème des minerais et des dépôts minéraux sur le fond marin entre en jeu. Les défis mentionnés ci-dessus nécessitent le déploiement de réseaux de capteurs sans fil sous-marins (UWSN). Les techniques de localisation basées sur l'ancrage sont classées en deux catégories : les procédés sans portée et les procédés basés sur la portée. Les procédés basés sur la portée dépendent de diverses techniques comme l'angle d'arrivée (AoA), le temps d'arrivée (ToA), la différence de temps d'arrivée (TDoA) et l'indicateur de la force du signal reçu (RSSI). Dans cet article, la localisation de ces fuites est effectuée en utilisant des métriques basées sur la distance pour calculer la distance entre les noeuds d'ancrage (AN) et les noeuds cibles (TN). Cette distance estimée est ensuite optimisée pour minimiser l'erreur d'estimation. Une procédure multilatéralisme est utilisée pour estimer la position optimale de chaque TN. Les résultats montrent que l'algorithme proposé est très performant par rapport aux travaux précédents, en termes de consommation d'énergie minimale, de perte de paquets réduits, d'estimation rapide de la position et d'erreur de localisation minimale. L'avantage de l'utilisation de la méthodolog...

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Robust and Cooperative Localization for Underwater Sensor Networks in the Existence of Malicious Anchors

Cited by 9 publications

References 24 publications

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Game theory based hybrid localization technique for underwater wireless sensor networks

An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring

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