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Identification of NLOS nodes in VANETs for enhancing safety
Details
NLOS nodes under emergency situation need to be effectively localized for supporting the vehicle under emergency to deliver essential information to the target vehicles in the stipulated time period. However, the majority of the existing NLOS localization incur huge overhead and time delay with reduced degree of channel utilization. In this research, three NLOS localization approaches that concentrate on range-based, range-optimizations and range-free detection process with an integrated framework are proposed for minimizing the overhead and time delay with maximized channel utilization rate.
Autorentext
Dr.R.Kaviarasan received his Ph.D from Pondicherry University. He completed his Post Graduate M.Tech in Information Security from Pondicherry Engineering College and his Under Graduate B.Tech in Information Technology from Pondicherry University. He is working as Associate Professor and Head in (CSE) Cyber Security in RGM College of Engg.& Tech,AP.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786208118655
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 164
- Genre IT Encyclopedias
- Gewicht 262g
- Untertitel DE
- Größe H220mm x B150mm x T11mm
- Jahr 2024
- EAN 9786208118655
- Format Kartonierter Einband
- ISBN 6208118654
- Veröffentlichung 13.11.2024
- Titel Identification of NLOS nodes in VANETs for enhancing safety
- Autor Kaviarasan R , Amuthan A
- Sprache Englisch