Buried RF Sensors for Smart Road Infrastructure: Empirical Communication Range Testing, Propagation by Line of Sight, Diffraction and Reflection Model and Technology Comparison for 868 MHz–2.4 GHz

Updating the road infrastructure requires the potential mass adoption of the road studs currently used in car detection, speed monitoring, and path marking. Road studs commonly include RF transceivers connecting the buried sensors to an offsite base station for centralized data management. Since traffic monitoring experiments through buried sensors are resource expensive and difficult, the literature detailing it is insufficient and inaccessible due to various strategic reasons. Moreover, as the main RF frequencies adopted for stud communication are either 868/915 MHz or 2.4 GHz, the radio coverage differs, and it is not readily predictable due to the low-power communication in the near proximity of the ground. This work delivers a reference study on low-power RF communication ranging for the two above frequencies up to 60 m. The experimental setup employs successive measurements and repositioning of a base station at three different heights of 0.5, 1 and 1.5 m, and is accompanied by an extensive theoretical analysis of propagation, including line of sight, diffraction, and wall reflection. Enhancing the tutorial value of this work, a correlation analysis using Pearson’s coefficient and root mean square error is performed between the field test and simulation results.

[1]  M. H. Habaebi,et al.  Near Ground Pathloss Propagation Model Using Adaptive Neuro Fuzzy Inference System for Wireless Sensor Network Communication in Forest, Jungle and Open Dirt Road Environments , 2022, Sensors.

[2]  J. Fleming,et al.  In-situ electronics and communications for intelligent energy storage , 2022, HardwareX.

[3]  P. Igić,et al.  DC Power Line Communication (PLC) on 868 MHz and 2.4 GHz Wired RF Transceivers , 2022, Sensors.

[4]  P. Igić,et al.  Wireless Communication Test on 868 MHz and 2.4 GHz from inside the 18650 Li-Ion Enclosed Metal Shell , 2022, Sensors.

[5]  Hongyang Chen,et al.  SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing , 2021, IEEE Internet of Things Journal.

[6]  Daqing Zhang,et al.  Fresnel Zone Based Theories for Contactless Sensing , 2021 .

[7]  M. Maher,et al.  Active Road Studs as an Alternative to Lighting on Rural Roads: Driver Safety Perception , 2020, Sustainability.

[8]  Johannes M. Eckhardt,et al.  A Ray Optical Diffraction Model for Car Chassis in V2X Communication , 2020, 2020 14th European Conference on Antennas and Propagation (EuCAP).

[9]  Taku Noguchi,et al.  IEEE 802.15.4 Now and Then: Evolution of the LR-WPAN Standard , 2020, 2020 22nd International Conference on Advanced Communication Technology (ICACT).

[10]  Michael E. MacDonald,et al.  An Overview of Radomes for Large Ground-Based Antennas , 2019, IEEE Aerospace and Electronic Systems Magazine.

[11]  Hanif Ullah,et al.  5G Communication: An Overview of Vehicle-to-Everything, Drones, and Healthcare Use-Cases , 2019, IEEE Access.

[12]  M. P. Elwin,et al.  Study of GaN Dual-Drain Magnetic Sensor Performance at Elevated Temperatures , 2019, IEEE Transactions on Electron Devices.

[13]  Fengqi Yu,et al.  Parking Detection Method Based on Finite-State Machine and Collaborative Decision-Making , 2018, IEEE Sensors Journal.

[14]  Wengang Zhang,et al.  Microwave Deicing Efficiency: Study on the Difference between Microwave Frequencies and Road Structure Materials , 2018, Applied Sciences.

[15]  Hazem H. Refai,et al.  Intelligent Vehicle Counting and Classification Sensor for Real-Time Traffic Surveillance , 2018, IEEE Transactions on Intelligent Transportation Systems.

[16]  Petar Igic,et al.  Analysis of GaN MagFETs compatible with RF power technology , 2018, 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[17]  Peter Ball,et al.  Detecting On-Street Parking Spaces in Smart Cities: Performance Evaluation of Fixed and Mobile Sensing Systems , 2018, IEEE Transactions on Intelligent Transportation Systems.

[18]  Rohit Bhagat,et al.  Development and evaluation of in-situ instrumentation for cylindrical Li-ion cells using fibre optic sensors , 2018 .

[19]  Ana Vazquez Alejos,et al.  Characterization of near-ground radio propagation channel for wireless sensor network with application in smart agriculture , 2017, ECSA 2017.

[20]  P. Igić,et al.  High sensitivity magnetic sensors compatible with bulk silicon and SOI IC technology , 2017, 2017 IEEE 30th International Conference on Microelectronics (MIEL).

[21]  Michael Cheffena,et al.  Empirical Path Loss Models for Wireless Sensor Network Deployment in Snowy Environments , 2017, IEEE Antennas and Wireless Propagation Letters.

[22]  Huarui Wu,et al.  The Propagation Characteristics of Radio Frequency Signals for Wireless Sensor Networks in Large-Scale Farmland , 2017, Wirel. Pers. Commun..

[23]  Antonio Mocholí Salcedo,et al.  Traffic Control Magnetic Loops Electric Characteristics Variation Due to the Passage of Vehicles Over Them , 2017, IEEE Transactions on Intelligent Transportation Systems.

[24]  Soroush Faramehr,et al.  Analysis of GaN HEMTs Switching Transients Using Compact Model , 2017, IEEE Transactions on Electron Devices.

[25]  Bulent Tavli,et al.  Path-Loss Modeling for Wireless Sensor Networks: A review of models and comparative evaluations. , 2017, IEEE Antennas and Propagation Magazine.

[26]  Peter Ball,et al.  Analysis of fixed and mobile sensor systems for parking space detection , 2016, 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP).

[27]  Peter Ball,et al.  A ground level radio propagation model for road-based wireless sensor networks , 2014, 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP).

[28]  Ashim Kumar Debnath,et al.  Sustainable, safe, smart—three key elements of Singapore’s evolving transport policies , 2013 .

[29]  Umberto Spagnolini,et al.  Wireless Sensor Network Modeling and Deployment Challenges in Oil and Gas Refinery Plants , 2013, Int. J. Distributed Sens. Networks.

[30]  D. Balachander,et al.  RF Propagation Investigations at 915/2400 MHz in Indoor Corridor Environments for Wireless Sensor Communications , 2013 .

[31]  Anthony G. Brown,et al.  TRAFFIC DATA COLLECTION AND ANONYMOUS VEHICLE DETECTION USING WIRELESS SENSOR NETWORKS , 2012 .

[32]  Mark Hadfield,et al.  Low-Cost Oil Quality Sensor Based on Changes in Complex Permittivity , 2011, Sensors.

[33]  Herbert Wiggenhauser,et al.  Using ground penetrating radar and time–frequency analysis to characterize construction materials , 2011 .

[34]  M. Wahab Radar radome and its design considerations , 2009, International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009.

[35]  J. Richards Fundamental Concepts: Propagation in Free Space , 2008 .

[36]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[37]  Matthew Loy,et al.  ISM-Band and Short Range Device Regulatory Compliance Overview , 2005 .

[38]  H.L. Bertoni,et al.  Radio propagation measurements and modelling for line-of-sight microcellular systems , 1992, [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology.

[39]  William C. Y. Lee,et al.  Mobile Cellular Telecommunications Systems , 1989 .

[40]  F. Dietrich,et al.  An experimental radome panel evaluation , 1988 .

[41]  R. Kouyoumjian,et al.  A uniform geometrical theory of diffraction for an edge in a perfectly conducting surface , 1974 .

[42]  J. Keller,et al.  Geometrical theory of diffraction. , 1962, Journal of the Optical Society of America.

[43]  H.T. Friis,et al.  A Note on a Simple Transmission Formula , 1946, Proceedings of the IRE.

[44]  G. R. Muspratt Look no wires Magnetometer vehicle detection and wireless communications in action , 2022 .