Abstract
An urban environment defines a specific micro-climate which directly affects the quality of life in urbanized areas and often has a negative impact on urban populations. Phenomena like urban heat and surface heat islands are direct products of an urban lifestyle. Urban meteorological networks (UMNs) are a tool that can help to better understand and analyze the current situation and make the right decisions about future urban development. Deployed to monitor and record different objects and their states inside urban areas, UMNs build a long-term meteorological data time series database. The most commonly used systems for achieving this goal include wireless sensor networks (WSNs). This paper presents a combined experience in deploying three different WSN systems. During seven years of research in this field, the authors have recognized the importance of data reliability in data acquisition. More importantly, due to the lack of research addressing the reliability of the data received from WSNs by the core segment of the server (processes used in receiving, validating, parsing, and storing data into a database instance), the received data are used in scientific studies without questioning their reliability. To determine the possibility of shifting information provided by the data measured from sensor networks before it is stored in a desired form of database, this paper proposes a highly reliable socket server model. The model is built with high reliability and performance in mind and it includes three major processes, which use a combination of signals and control messages to pass information about their states. A case study is performed using high-end hardware, running a Linux operating system stressed to its limits. Repetition testing revealed inconsistency in the information provided by the operating system to the application layer, which could lead to the loss of information about short-term and rarely occurring monitored objects. The results lead to the conclusion that there is a clear need for a higher level of data reliability in the process of data acquisition by UMNs. The proposed socket server should fill this gap within the server’s core segment.
Highlights
This micro-climate directly affects the quality of life in urbanized areas [2,3], resulting in increased air/surface temperatures, intensive heatwave and urban heat island (UHI) phenomena, pluvial floods, etc
The socket server model, is developed as a C language application which listens to defined IP (Internet protocol) addresses on the server
The case study should demonstrate whether the proposed application could become a reliable candidate for the reception of wireless sensor networks (WSNs) measurements implemented in Urban meteorological networks (UMNs)
Summary
Global climate change amplifies a specific micro-climate in urban environments, especially in terms of temperature load and thermal sensation [1]. This micro-climate directly affects the quality of life in urbanized areas [2,3], resulting in increased air/surface temperatures, intensive heatwave and urban heat island (UHI) phenomena, pluvial floods, etc. More than half of the global human population lives in urban areas. It is expected that by 2050, more than two-thirds of the global human population will occupy this type of environment [4]
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