TDOA Measurement Based GDOP Analysis for Radio Source Localization

Laveti, Ganesh; Rao, G. Sasibhushana; Chaitanya, D. Eswara; Kumar, Manoj

doi:10.1016/j.procs.2016.05.261

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…RDOA i1 is not linear, and the solution can be found using the closed-form solution. The resulting linearized equation is a differential equation that is represented in matrix notation [51].…”

Section: Geometric Dilution Of Precision (Gdop)mentioning

confidence: 99%

A Hybrid Access Control Model With Dynamic COI for Secure Localization of Satellite and IoT-Based Vehicles

et al. 2020

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Secure localization of vehicles is gaining the attention of researchers from both academia and industry especially due to the emergence of internet of things (IoT). The modern vehicles are usually equipped with circuitries that gives connectivity with other vehicles and with cellular networks such as 4G/Fifth generation cellar network (5G). The challenge of secure localization and positioning is magnified further with the invention of technologies such as autonomous or driverless vehicles based on IoT, satellite, and 5G. Some satellite and IoT based localization techniques exploit machine learning, semantic segmentation, and access control mechanism. Access control provides access grant and secure information sharing mechanism to authorized users and restricts unauthorized users, which is necessary regarding security and privacy of government or military vehicles. Previously, static conflict of interest (COI) based access control was used for security proposes. However, static COI based access control creates excesses and administrative overload that creates latency in execution, which is the least tolerable factor in modern IoT or 5G control vehicles. Therefore, in this paper, a hybrid access control (HAC) model is proposed that implements the dynamic COI in the HAC model on the level of roles. The proposed model is enhanced by modifying the role-based access control (RBAC) model by inserting new attributes of the RBAC entities. The HAC model deals with COI on the level of roles in an efficient manner as compared to previously proposed models. Moreover, this model features significant improvement in terms of dynamic behavior, decreased administrative load, and security especially for vehicular localization. Furthermore, the mathematical modeling of the proposed model is implemented with an example scenario to validate the concept. INDEX TERMS Access control, hybrid access control, secure vehicle localization, machine learning, neural networks, Internet of Things.

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Section: Geometric Dilution Of Precision (Gdop)mentioning

confidence: 99%

A Hybrid Access Control Model With Dynamic COI for Secure Localization of Satellite and IoT-Based Vehicles

et al. 2020

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“…The authors presented a comprehensively improvised DV-Hop algorithm, which decreased the localization errors maintaining the hardware and communication costs. In the same year a model was proposed [17] that focused on a range-based beacon placement model for an indoor floor plan for WSNs system. The proposed algorithm was Geometric Dilution of Precision(GDOP).…”

Section: Literature Surveymentioning

confidence: 99%

“…Localization(finding location of a sensor)of a Wireless Sensor Networks(WSNs) poses an uphill task mainly as the extended community cost, bad localization, accuracy and restrained nodes are not addressed properly. Various models for Indoor localization [1], Surveillance [2] and outdoor localization [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] have already been presented but the main concern is Quality of Service(QOS) which includes accurate but secured location detection. A network could easily be attacked using man-inthe-middle 1 attack, Brute force 1 or social networking 1 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Secured GPS based Localization Protocol

Joshi¹,

Chaudhary²,

Saxena³

2018

IJCA

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Smart cities, smart villages, everything getting smart and so are the hackers. Networking has an important significance in the modern world of technology and securing it is as important as implementing it. The authors have proposed a Secured GPS Localization(SGPSL) protocol for the purpose of securing the location of the sensor nodes without compromising the resources. SGPSL provides two level security, first at the network authentication level and other at sensor level. To minimize the resource utilization mitigation is carried out. SGPSL is compared with existing GDOP [17] technique. It is observed that the bandwidth, and the energy consumed by the proposed work is 16%, and 19% respectively lesser then GDOP. The time secured is 5.3% lesser too. General TermSecured GPS Localization Protocol.

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“…In addition to using FIM to establish the objective function for configuration optimization, the method of minimizing DOP to achieve optimal detection configuration has also achieved fruitful results for the single-point detection problem [18][19][20]. The geometric dilution of precision (GDOP) minimization criterion has been widely used in localization configuration optimization.…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Heterogeneous Swarm for Cooperative Detection with Minimum DOP Based on Nested Cones

Yu,

Liu,

Meng

et al. 2024

Drones

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When unmanned platforms perform precise target detection, the configuration of detection nodes will significantly impact accuracy. Aiming to obtain the minimum dilution of precision (DOP), this paper innovatively proposes an optimal detection configuration design method focused on the heterogeneous unmanned cooperative swarm based on the nested cone model. The proposed method first divides the swarm into different groups according to the performances of platforms and then uses a conical nested configuration to arrange the placement of each node independently. The paper considers the problem of the inaccurate prior position of the target and replaces the single-point DOP with the average DOP on the prior region of the target as the optimization objective. Considering the unavoidable positioning errors in engineering practice, this paper provides the optimal configuration of the detection group (DG) and anchor group (AG) in the swarm to reduce the impact caused by positioning errors of detection nodes. We set a certain swarm consisting of 3 types of platforms to design the configuration by simulation experiments and find the optimal parameters for nested cones to realize accurate detection.

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TDOA Measurement Based GDOP Analysis for Radio Source Localization

Cited by 16 publications

References 6 publications

A Hybrid Access Control Model With Dynamic COI for Secure Localization of Satellite and IoT-Based Vehicles

A Hybrid Access Control Model With Dynamic COI for Secure Localization of Satellite and IoT-Based Vehicles

Secured GPS based Localization Protocol

Optimal Configuration of Heterogeneous Swarm for Cooperative Detection with Minimum DOP Based on Nested Cones

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