A Novel Wireless Sensor Network Frame for Urban Transportation

Hu, Xin; Yang, Liuqing; Xiong, Wei

doi:10.1109/jiot.2015.2475639

Cited by 50 publications

(31 citation statements)

References 29 publications

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“…WSN technology has enabled a large variety of applications to be developed; these have also been applied across many domains, i.e., military [19], healthcare, transport [20], and smart city infrastructure. WSNs play an important role in emerging Network-of-Things(NoT) or IoT paradigms [21].…”

Section: Wireless Sensor Network (Wsns)mentioning

confidence: 99%

“…These protocols have their own properties, benefits, and limitations but they can be characterized by their range and energy consumptions. Some of the popular protocols are ZigBee [20], Z-Wave, WiFi, 6LoWPAn, 2G/3G/4G/5G, Blue-tooth(+BLE), radio frequency identification (RFID), near field communication (NFC), and infrared.…”

Section: Wireless Sensor Network (Wsns)mentioning

confidence: 99%

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Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Triboan

Chen

et al. 2016

Tinshhua Sci. Technol.

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With the growing aging population, age-related diseases have increased considerably over the years.In response to these, ambient assistive living (AAL) systems are being developed and are continually evolving to enrich and support independent living. While most researchers investigate robust activity recognition (AR) techniques, this paper focuses on some of the architectural challenges of the AAL systems. This work proposes a system architecture that fuses varying software design patterns and integrates readily available hardware devices to create wireless sensor networks for real-time applications. The system architecture brings together the serviceoriented architecture (SOA), semantic web technologies, and other methods to address some of the shortcomings of the preceding system implementations using off-the-shelf and open source components. In order to validate the proposed architecture, a prototype is developed and tested positively to recognize basic user activities in real time.The system provides a base that can be further extended in many areas of AAL systems, including composite AR.

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Section: Wireless Sensor Network (Wsns)mentioning

confidence: 99%

Section: Wireless Sensor Network (Wsns)mentioning

confidence: 99%

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Triboan

Chen

et al. 2016

Tinshhua Sci. Technol.

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“…Some research estimated that up to 100 billion IoT devices will be deployed and connected by 2025 [1], ranging from smart watches and entertainment devices for our everyday lives to industrial sensors and actuators for manufacturing [2], [3]. With the continuous improvement of its service coverage and quality, IoT is expected to promote the revolutionary development of many traditional industries including agriculture [4], retail business [5], transportation [6], etc. Despite the enormous application potential and market demand, the existing IoT networks still have some drawbacks, which restrict their further development.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Data Collection and Device Positioning in UAV-Assisted IoT

Wang

Liu

et al. 2020

IEEE Internet Things J.

269

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The Internet-of-Things (IoT) will significantly change both industrial manufacturing and our daily lives. Data collection and three-dimensional (3D) positioning of IoT devices are two indispensable services of such networks. However, in conventional networks, only terrestrial base stations (BSs) are used to provide these two services. On the one hand, this leads to high energy consumption for devices transmitting at cell edges. On the other hand, terrestrial BSs are relatively close in height, resulting in poor performance of device positioning in elevation. Due to their high maneuverability and flexible deployment, unmanned aerial vehicles (UAVs) could be a promising technology to overcome the above shortcomings. In this paper, we propose a novel UAV-assisted IoT network, in which a low-altitude UAV platform is employed as both a mobile data collector and an aerial anchor node to assist terrestrial BSs in data collection and device positioning. We aim to minimize the maximum energy consumption of all devices by jointly optimizing the UAV trajectory and devices' transmission schedule over time, while ensuring the reliability of data collection and required 3D positioning performance. This formulation is a mixed-integer non-convex optimization problem, and an efficient differential evolution (DE) based method is proposed for solving it. Numerical results demonstrate that the proposed network and optimization method achieve significant performance gains in both energy efficient data collection and 3D device positioning, as compared with a conventional terrestrial IoT network.

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“…Wireless sensor networks (WSNs) have allowed the implementation of interconnected electronic systems in a wide number of fields such as industry, environmental applications or medicine [1][2][3][4][5][6][7][8][9][10]. However, there still exist several applications in which high radiation represents an obstacle for the use of this kind of network [11].…”

Section: Introductionmentioning

confidence: 99%

Single-Event Transients in an IEEE 802.15.4 RF Receiver for Wireless Sensor Networks

Mateos-Angulo

Pino

Mayor-Duarte

et al. 2020

Sensors

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This paper presents a procedure to analyse the effects of radiation in an IEEE 802.15.4 RF receiver for wireless sensor networks (WSNs). Specifically, single-event transients (SETs) represent one of the greatest threats to the adequate performance of electronic communication devices in high-radiation environments. The proposed procedure consists in injecting current pulses in sensitive nodes of the receiver and analysing how they propagate through the different circuits that form the receiver. In order to perform this analysis, a Complementary Metal Oxide Semiconductor (CMOS) low-IF receiver has been designed using a 0.18 μm technology from the foundry UMC. In order to analyse the effect of single-event transients in this receiver, it has been studied how current pulses generated in the low-noise amplifier propagate down the receiver chain. The effect of the different circuits that form the receiver on this kind of pulse has been studied prior to the analysis of the complete receiver. First, the effect of SETs in low-noise amplifiers was analysed. Then, the propagation of pulses through mixers was studied. The effect of filters in the analysed current pulses has also been studied. Regarding the analysis of the designed RF receiver, an amplitude and phase shift was observed under the presence of SETs.

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A Novel Wireless Sensor Network Frame for Urban Transportation

Cited by 50 publications

References 29 publications

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Energy-Efficient Data Collection and Device Positioning in UAV-Assisted IoT

Single-Event Transients in an IEEE 802.15.4 RF Receiver for Wireless Sensor Networks

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