Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

Lee, Joyoung; Zhong, Zijia; Du, Bo; Gutesa, Slobodan; Kim, Kitae

doi:10.1155/2015/685786

Cited by 15 publications

(10 citation statements)

References 14 publications

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“…WSN-based traffic detection has shown a great usefulness in real-time traffic monitoring, work zone and incident management and transportation planning. By providing up-to-date vehicle or traffic information captured by an in-vehicle GPS module or smart mobile devices it is possible to receive real-time travel information to support roadway users and traffic management authorities [13].…”

Section: Technology Usedmentioning

confidence: 99%

Long-term urban traffic monitoring based on wireless multi-sensor network

2020

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AbstractIncreasing the number of vehicles on the road network and the growing popularity of sustainable development of urban areas have resulted in the need for implementing efficient and cost-effective traffic measurement methods. From the perspective of traffic management, up-to-date information about vehicle density and access to historical data are the key components of traffic variability analyses. Rapid technological development based on Intelligent Transport Systems (ITS) has popularised the wireless sensor networks (WSN) application. The solution enables continuous monitoring of selected area using multiple wireless and low-cost sensors connected within a network. Those systems are dynamically evolving tools for solving an effective traffic management issues in city centres and urban environments. In the study, authors have performed a traffic variability and its dynamics analysis in a selected area using a multi-sensor network for traffic volume monitoring. The article presents the results of research conducted between years 2015 - 2018 throughout the city of Bielsko-Biala with the support of OnDynamic multimodal system. Within the context of the analyses, basic traffic parameters have been determined and variability trends have been identified on selected road sections. Long-term research indicated the minor variation in a number of vehicle detections and relatively stable traffic volume in the city centre during the analysis period.

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Section: Technology Usedmentioning

confidence: 99%

Long-term urban traffic monitoring based on wireless multi-sensor network

2020

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“…Another disadvantage of this design is its high hardware cost ($78 per microcontroller). Later, a traffic monitoring system was developed to adopt a ZigBee communication protocol [7]. However, in this design, the adopted microcontroller for sensor data acquisition is an Arduino Uno, which is relatively expensive and also consumes substantially high power.…”

Section: Related Work In the Literaturementioning

confidence: 99%

“…As the global WSN market is expected to exceed $1.8 billion by 2024, the need for a standard WSN development platform is emerging [4]. Nowadays, existing WSN development platforms mainly emphasize the design aspects of power consumption [5,6], system cost [7][8][9][10], and network latency [11][12][13]. Yet, rare research efforts have been made to create and establish user-friendly design paradigms that allow ordinary users to easily deploy and configure heterogeneous WSNs, rather than WSN professionals or researchers.…”

Section: Introductionmentioning

confidence: 99%

A Software Framework for Heterogeneous Wireless Sensor Network Towards Environmental Monitoring

Huang

Rodriguez

2019

Applied Sciences

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A wireless sensor network (WSN) is typically composed of spatially distributed miniature sensors that help collect large amounts of real-time environmental data from buildings. These environmental data (e.g., temperature, humidity, CO2 concentration) can assist a series of heating, ventilation, and air conditioning (HVAC) equipment to increase the building energy efficiency. From a system design perspective, heterogeneous wireless sensor networks need to address two challenges. First, sensor data acquisition, conversion, fusion, and packaging involve a series of software processing. Since each type of environmental sensor typically has unique processing requirements, it is difficult to develop an efficient software framework to combine the processing of multiple heterogeneous sensors. Second, during normal operation of a heterogeneous wireless sensor network, if users insert or remove some environmental sensors, the entire WSN system should operate normally. In this work, in order to solve the above two system design challenges, we have developed a low-power, low-cost, small form-factor WSN development platform, and its software framework can perform efficient data acquisition, conversion, fusion, and packaging for multiple heterogeneous sensors. Our proposed software framework enables easy and rapid WSN system deployment without affecting the overall functionality of each node. The proposed design differs from existing WSN platforms in that it emphasizes advanced high-level usability and reduces time to market without sacrificing low-level features. The proposed WSN system has been implemented and tested in an office building for indoor fire hazard detection. The experimental results show that our software framework can successfully complete data acquisition, conversion, fusion, and packaging tasks for three heterogeneous environmental sensors. In addition, we have verified that our software framework supports robust system operation when inserting or removing sensors from an existing heterogeneous WSN system.

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“…Due to their advantages on various aspects such as sensitive information awareness, real-time data feedback, and flexible network organization, wireless sensor networks (WSNs) have a bright future and development potential in the fields of military applications, healthcare [1], industry [2], agriculture [3], urban monitoring [4], etc. However, the sensor nodes may be deployed in an unattended hostile environment, thus facing a high risk of being captured and compromised.…”

Section: Introductionmentioning

confidence: 99%

“…3) We design a new type of false data injection attack called the "collusion attack with forged locations", in which the malicious compromised node forges the locations of the collaborative compromised nodes around the location of the fabricated event. 4) We propose an efficient geographical information-based en-route filtering scheme (EGEFS) and a sink verification scheme, which can defend against various types of false data injection attacks. Both theoretical analysis and simulation results demonstrate that EGEFS outperforms SEF [19], GFFS [23], and DSF [24] in terms of higher security, filtering efficiency, and energy saving.…”

Section: Introductionmentioning

confidence: 99%

Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks

2018

KSII TIIS

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The existing en-route filtering schemes only consider some simple false data injection attacks, which results in lower safety performance. In this paper, we propose an efficient geographical information-based en-route filtering scheme (EGEFS), in which each forwarding node verifies not only the message authentication codes (MACs), but also the report identifier and the legitimacy and authenticity of locations carried in a data report. Thus, EGEFS can defend against not only the simple false data injection attacks and the replay attack, but also the collusion attack with forged locations proposed in this paper. In addition, we propose a new method for electing the center-of-stimulus (CoS) node, which can ensure that only one detecting node will be elected as the CoS node to generate one data report for an event. The simulation results show that, compared to the existing en-route filtering schemes, EGEFS has higher safety performance, because it can resist more types of false data injection attacks, and it also has higher filtering efficiency and lower energy expenditure.

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Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

Cited by 15 publications

References 14 publications

Long-term urban traffic monitoring based on wireless multi-sensor network

Long-term urban traffic monitoring based on wireless multi-sensor network

A Software Framework for Heterogeneous Wireless Sensor Network Towards Environmental Monitoring

Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks

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