Improved localization with RSSI and DTN algorithms in wireless sensor networks

Adama, Venkata Reddy; Asutkar, G. M.

doi:10.1007/s41870-020-00590-x

Cited by 7 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[206], [207] Mapping [208]- [210] Sustainable develop. [211]- [213] Security [214] Massive twinning [215], [216] Outdoor [210] Indoor [206], [207], [209], [211]- [216] mmWave/THz [209] VLP [212] Sensors [210], [214], [216] AoA, ToA, AoD, ToF, RSS, RMSE…”

Section: F Stabilitymentioning

confidence: 99%

“…Also, the nodes are able to communicate with each other in order to construct an indoor propagation model. Adama and Asutkar, in [216], combined the weighted prediction and grey prediction algorithms in order to develop a triangulation approach for reducing the estimation error of unknown nodes and improving the positioning accuracy. The authors of [210] proposed a method consisting of a range-free approach for detecting symmetric triangulations, which, combined with semidefinite programming, can enhance localization accuracy.…”

Section: A Conventionalmentioning

confidence: 99%

See 1 more Smart Citation

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Trevlakis¹,

Boulogeorgos²,

Pliatsios³

et al. 2023

Preprint

View full text Add to dashboard Cite

<p>When fully implemented, sixth generation (6G) wireless systems will constitute intelligent wireless networks that enable not only ubiquitous communication but also high-accuracy localization services. They will be the driving force behind this transformation by introducing a new set of characteristics and service capabilities in which location will coexist with communication while sharing available resources. To that purpose, this survey investigates the envisioned applications and use cases of localization in future 6G wireless systems, while analyzing the impact of the major technology enablers. Afterwards, system models for millimeter wave, terahertz and visible light positioning that take into account both line-of-sight (LOS) and non-LOS channels are presented, while localization key performance indicators are revisited alongside mathematical definitions. Moreover, a detailed review of the state of the art conventional and learningbased localization techniques is conducted. Furthermore, the localization problem is formulated, the wireless system design is considered and the optimization of both is investigated. Finally, insights that arise from the presented analysis are summarized and used to highlight the most important future directions for localization in 6G wireless systems.</p>

show abstract

Section: F Stabilitymentioning

confidence: 99%

Section: A Conventionalmentioning

confidence: 99%

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Trevlakis¹,

Boulogeorgos²,

Pliatsios³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Using the proposed iterative algorithm, each AoA estimate is updated based on the previous position estimate. A method that detects unreliable AoA Massive twinning [243], [244] Mapping [245]- [247] Security [248] Outdoor [247] Indoor [238]- [244], [246], [248] mmWave/THz [246] VLP [241] Sensors [244], [247], [248] AoA, ToA, AoD, ToF,…”

Section: ) Triangulationmentioning

confidence: 99%

“…Also, the nodes are able to communicate with each other in order to construct an indoor propagation model. Adama and Asutkar, in [244], combined the weighted prediction and grey prediction algorithms in order to develop a triangulation approach for reducing the estimation error of unknown nodes and improving the positioning accuracy. The authors of [247] proposed a method consisting of a range-free approach for detecting symmetric triangulations, which, combined with semidefinite programming, can enhance localization accuracy.…”

Section: Direct Localizationmentioning

confidence: 99%

Localization as a Key Enabler of 6G Wireless Systems: A Comprehensive Survey and an Outlook

Trevlakis,

Boulogeorgos,

Pliatsios

et al. 2023

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

When fully implemented, sixth generation (6G) wireless systems will constitute intelligent wireless networks that enable not only ubiquitous communication but also high-accuracy localization services. They will be the driving force behind this transformation by introducing a new set of characteristics and service capabilities in which location will coexist with communication while sharing available resources. To that purpose, this survey investigates the envisioned applications and use cases of localization in future 6G wireless systems, while analyzing the impact of the major technology enablers. Afterwards, system models for millimeter wave, terahertz and visible light positioning that take into account both line-of-sight (LOS) and non-LOS channels are presented, while localization key performance indicators are revisited alongside mathematical definitions. Moreover, a detailed review of the state of the art conventional and learning-based localization techniques is conducted. Furthermore, the localization problem is formulated, the wireless system design is considered and the optimization of both is investigated. Finally, insights that arise from the presented analysis are summarized and used to highlight the most important future directions for localization in 6G wireless systems.

show abstract

Section: F Stabilitymentioning

confidence: 99%

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Trevlakis¹,

Boulogeorgos²,

Pliatsios³

et al. 2023

Preprint

View full text Add to dashboard Cite

When fully implemented, sixth generation (6G) wireless systems will constitute intelligent wireless networks that enable not only ubiquitous communication but also high-accuracy localization services. They will be the driving force behind this transformation by introducing a new set of characteristics and service capabilities in which location will coexist with communication while sharing available resources. To that purpose, this survey investigates the envisioned applications and use cases of localization in future 6G wireless systems, while analyzing the impact of the major technology enablers. Afterwards, system models for millimeter wave, terahertz and visible light positioning that take into account both line-of-sight (LOS) and non-LOS channels are presented, while localization key performance indicators are revisited alongside mathematical definitions. Moreover, a detailed review of the state of the art conventional and learningbased localization techniques is conducted. Furthermore, the localization problem is formulated, the wireless system design is considered and the optimization of both is investigated. Finally, insights that arise from the presented analysis are summarized and used to highlight the most important future directions for localization in 6G wireless systems.

show abstract

Improved localization with RSSI and DTN algorithms in wireless sensor networks

Cited by 7 publications

References 20 publications

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Localization as a Key Enabler of 6G Wireless Systems: A Comprehensive Survey and an Outlook

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Contact Info

Product

Resources

About