This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Propagation Loss Measurements and Two Slope Modelling in Vehicular Environments for Intelligent Transportation Systems
Technical Paper
2017-01-0093
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Radio Frequency (RF) propagation in vehicular environments exhibits major transformations from indoor, outdoor and farmland multipath environments. The innovative advancement in Wireless Sensor Networks (WSNs) has made it necessary to recognise and predict the RF propagation losses for WSNs in vehicular environments. Very few models exist for network planning and deployment in vehicular environments. All of these models need an extensive statistical estimations and an in-depth knowledge of the vehicular environment. In this paper a different approach has been pursued and as a first step is to evaluate the factors which affect RF propagation in vehicular environments and how these factors affect each other while predicting propagation losses in vehicular environments. Existing research contributions has been consolidated and a two slope model which has been considered more appropriate for vehicular environments is proposed by performing Path Loss (PL) measurements in a Sports Utility Vehicle (SUV) at 915 MHz and 2400 MHz employing Vector Signal Analyzer / Vector Signal Generator and compared with Matlab simulations. Based on the results of frequent measurements and modelling, the proposed two slope model is observed to be applicable for deployment and prediction of PL in Line-of-Sight (LoS) scenarios at very low antenna heights in vehicular environments at short-range.
Recommended Content
| Ground Vehicle Standard | Conducted Immunity, 250 kHz to 400 MHz, Direct Injection of Radio Frequency (RF) Power |
| Aerospace Standard | Connector Accessories, Electrical General Specification for |
| Aerospace Standard | Connectors, Electrical, Bayonet Coupling, Environment Resisting, Umbilical, General Specification For |
Authors
Topic
Citation
Dhanavanthan, B., "Propagation Loss Measurements and Two Slope Modelling in Vehicular Environments for Intelligent Transportation Systems," SAE Technical Paper 2017-01-0093, 2017, https://doi.org/10.4271/2017-01-0093.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 | ||
| Unnamed Dataset 5 | ||
| Unnamed Dataset 6 | ||
| Unnamed Dataset 7 |
Also In
References
- Akyildiz , I. F. , Vuran , M. C. Wireless Sensor Networks 2nd New York John Wiley 2010
- Callaway , E. H. JR Wireless Sensor Networks: Architectures and Protocols 2nd Boca Raton Auerbach Publications 2004
- Zheng , J. , Jamalipour , A. Wireless Sensor Networks - A Networking Perspective 2nd New York John Wiley 2009
- Joshi , G. G. , Dietrich , C. B. , JR Anderson , C. R. , Newhall , W. G. , Davis , W. A. , Isaacs , J and Barnett , G. Near-ground channel measurements over line-of-sight and forested paths Proceedings of the IEEE Microwaves, Antennas and Propagation Conference Munich (Germany) 589 596 2005
- Molina Garcia Pardo , J. M. , Martinez Sala , A. , Bueno Delgado , M. V. , Egea Lopez , E. , Juan Llacer , L and García Haro , J. Channel Model at 868 MHz for Wireless Sensor Networks in Outdoor Scenarios Proceedings of the International Workshop on Wireless Ad-hoc Networks Paris (France) 345 352 2005
- Mao , G. , Anderson , B. D. O and Fidan , B. Path loss exponent estimation for wireless sensor network localization Computer Networks 51 10 2467 2483 2007
- Park , S. Y. , Ahn , H. S and Yu , W. Adaptive path-loss model based indoor localization Proceedings of the International Conference on Consumer Electronics New Jersey (United States of America) 1 2 2008
- Zhang , R. , Guo , J. , Chu , F and Zhang , Y. Environmental-adaptive indoor radio path loss model for wireless sensor localization International Journal of Electronics and Communications 65 12 1023 1031 2011
- Yarkoni , N and Blaunstein , N. Prediction of propagation characteristics in indoor radio communication environments Progress in Electromagnetics Research 59 151 174 2006
- Janek , J and Evans , J. Predicting Ground Effects of Omni-Directional Antennas in Wireless Sensor Networks Wireless Sensor Networks 2 12 879 890 2010
- Seybold , J. S. Introduction to RF Propagation 2nd New York John Wiley 2005
- Tranter , W. H. , Woerner , B. D. , Rappaport , T. S and Reed , J. H. Wireless Personal Communications: Channel Modeling and Systems Engineering 2nd Netherlands The Springer International Series in Engineering and Computer Science 2000
- Foran , R. A. , Welch , T. B and Walker. , M. J. Very near ground radio frequency propagation measurements and analysis for military applications Proceedings of the IEEE Military Communications Conference New Jersey (United States of America) 336 340 1999
- Sohrabi , K. , Manriquez , B. , and Pottie G. J. Near ground wideband channel measurements in 800–1000 MHz Proceedings of the IEEE Vehicular Technology Conference Houston (United States of America) 571 574 1999
- Rappaport , T. S. Wireless Communications: Principles and Practice 3rd New Jersey Prentice Hall 2002
- Balanis , C. A. Antenna Theory 2nd New York John Wiley 2005
- Bertoni , H. L. Radio Propagation for Modern Wireless Systems 2nd New Jersey Prentice Hall 2000
- International Telecommunication Union - Recommendation, P. 527-3 Electrical characteristics of the surface of the earth 1992
- Kraus , J. D. Antennas for All Applications 2nd Columbus McGraw Hill 2006
- International Telecommunication Union - Recommendation, P.1238-7 Propagation data and prediction methods for the planning of indoor radio communication systems and radio local area networks in the frequency range 900 MHz to 100 GHz 2012
- Honcharenko , W. , Bertoni , H. L and Dailing , J. Mechanisms governing propagation between different floors in buildings IEEE Transactions on Antennas and Propagation 41 6 787 790 1993
- Cheung , K. W. , Sau , J. H. M. and Murch , R. D. A New Empirical Model for Indoor Propagation Prediction IEEE Transactions on Vehicular Technology 47 3 996 1001 1998
- Draper , N. R. , Smith , H. Applied Regression Analysis 2nd New York John Wiley 1998
- Wang , D. , Song , L. , Kong , X. , Zhang , Z. Near-Ground Path Loss Measurements and Modeling for Wireless Sensor Networks at 2.4 GHz International Journal of Distributed Sensor Networks 1 10 2012
- Alexander , S. E. Radio Propagation within Buildings at 900 MHz Electronics Letters 18 21 913 914 2011
- Pahlavan , K. , Ganesh , R. Statistical Characterization of a partitioned indoor radio channel Proceedings of the IEEE International Conference on Communications Chicago (United States of America) 1992 1252 1256
- Qaraqe , Q. A. , Yarkan , S. , Guzelgoz , S and Arslan , H. Statistical Wireless Channel Propagation Characteristics in underground mines at 900 MHz: A comparative analysis with Indoor Channels Ad Hoc Networks 512 517 2011
- Aleksandar , N. , Natasa , N and George , P. Modern Approaches in Modeling of Mobile Radio Systems Propagation Environment IEEE Communication Surveys and Tutorials 3 3 2 12 2010
- Brida , P. , Machaj , J and Benikovsky , J. WLAN based indoor localization system Elektrorevue 2 4 1 2011
- Balachander , D. , Rama Rao , T. , and Dhanavanthan , P. Near-floor short-range radio link measurements and modelling at 915/2400 MHz in indoor corridors for wireless sensor networks International Journal of Sensor Networks 17 2 73 81 2015 10.1504/IJSNET.2015.067859
- Umit Bas , C. , and SinemColeri Ergen. Ultra-Wideband Channel Model for Intra-Vehicular Wireless Sensor Networks In Proceedings of IEEE Wireless Communications and Networking Conference: PHY and Fundamentals 2012
- Wang , Q. , Hempstead , M. , and Yang. , W. A Realistic Power Consumption Model for Wireless Sensor Network Devices In Proceedings of IEEE Sensor and Ad Hoc Communications and Networks Conference 2006 10.1109/SAHCN.2006.288433
- Kukolev , P. Intra- and Out-of-vehicle channel measurements and modeling Doctoral Thesis Brno University of Technology Czech Republic 2016