
Process for evaluating the data transfer performance of wireless traffic sensors for real‐time intelligent transportation systems applications
Author(s) -
Zhou Yan,
Dey Kakan Chandra,
Chowdhury Mashrur,
Wang KuangChing
Publication year - 2017
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2015.0250
Subject(s) - wireless , computer network , wimax , wireless network , interoperability , wireless sensor network , computer science , throughput , intelligent transportation system , key distribution in wireless sensor networks , process (computing) , field (mathematics) , engineering , telecommunications , transport engineering , mathematics , pure mathematics , operating system
Different wireless communication technologies, such as wireless fidelity (Wi‐Fi), 4G cellular technologies and worldwide interoperability for microwave access (WiMAX) have been used as alternatives or supplement to wired communication in intelligent transportation systems (ITS). Widespread deployment of wireless technologies in ITS require a comprehensive understanding of their performance, limitations and advantages in different field conditions. The authors evaluated performance of Wi‐Fi wireless communication between adjacent roadside ITS devices (i.e., nodes) in different field conditions with varying characteristics of Wi‐Fi technology. Field tests revealed that modulation rates, transmission power, line of sight, distance between nodes play critical roles in the performance of Wi‐Fi communication in different roadway conditions. To achieve a desired level of performance requirements between adjacent nodes, minimum network performance thresholds must be realized in the field. Transportation agencies can identify the achievable performance, such as saturated throughput, delivery ratio and received signal strength at a particular location, by following the field test procedure developed in this research. The evaluation strategies and results presented in this study will contribute to the future planning and design of Wi‐Fi communication for a roadway wireless sensor or device network considering corresponding communication performance requirements for specific ITS applications.