scholarly journals An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks

2014 ◽  
Vol 10 (5) ◽  
pp. 694545 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Pi-Yun Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Control System ◽  
Sensor Networks ◽  
Flow Control ◽  
Radio Frequency ◽  
Traffic Flow ◽  
Radio Frequency Identification ◽  
Wireless Sensor ◽  
Frequency Identification ◽  
Flow Control System

scholarly journals Energy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Review

Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 865 ◽  
Author(s):  
Mohammed H. Alsharif ◽  
Sunghwan Kim ◽  
Nuri Kuruoğlu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Critical Issue ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
The Internet ◽  
Heterogeneous Objects ◽  
Frequency Identification

In the near future, symmetry technologies for the Internet of Things (IoT), along with symmetry and asymmetry applications for IoT security and privacy, will re-design the socio-ecological human terrain morphology. The IoT ecosystem deploys diverse sensor platforms connecting billions of heterogeneous objects through the Internet. Most sensors are low-energy consuming devices which are designed to transmit sporadically or continuously. However, when we consider the billions/trillions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology cannot be overemphasised, specifically the development of EE solutions for sustainable IoT technology. Propelled by this need, EE proposals are expected to address IoT’s EE issues. Consequently, many developments have been displayed, and highlighting them to provide clear insights into eco-sustainable and green IoT technologies is becoming a crucial task. To pursue a clear vision of green IoT, this article aims to describe the current state-of-the art insights into energy-saving practices and strategies on green IoT. The major contribution of this study is the review and discussion of the substantial issues enabling hardware green IoT to focus on green wireless sensor networks and green radio-frequency identification. This review paper will contribute significantly to the future implementation of green and eco-sustainable IoT.

Testing the feasibility of wireless sensor networks and the use of radio signal strength indicator to track the movements of wild animals

2018 ◽  
Vol 45 (8) ◽  
pp. 659 ◽  
Author(s):  
C. R. Krull ◽  
L. F. McMillan ◽  
R. M. Fewster ◽  
R. van der Ree ◽  
R. Pech ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Signal Strength ◽  
The Body ◽  
Data Uncertainty ◽  
Wireless Sensor ◽  
Small Animals ◽  
Significant Difference

Context Wireless sensor networks (WSNs) are revolutionising areas of animal behaviour research and are advantageous based on their ability to be deployed remotely and unobtrusively, for long time periods in inaccessible areas. Aims We aimed to determine the feasibility of using a WSN to track detailed movement paths of small animals, e.g. rats (Rattus spp.) 100–400g, too small for current GPS technology, by calibrating active Radio Frequency Identification (RFID) tags and loggers using Radio Frequency Signal Strength Indicator (RSSI) as a proxy for distance. Active RFIDs are also called Wireless Identification (WID) tags. Methods Calibration tests were conducted using a grid of loggers (n=16) spaced at 45-m intervals in clear line-of-sight conditions. WID tags (n=16) were placed between the loggers at 45-m intervals. Eight ‘walks’ were also conducted through the grid using a single WID tag. This involved attaching the tag to a small bottle of water (to simulate the body of an animal), towed around the grid using a 1-m long tow line attached to a volunteer walker. The volunteer also held a GPS device that logged their track. Models were constructed to test the effects of distance, tag movement and individual differences in loggers and tags on the reliability of movement data. Key results Loggers were most successful at detecting tags at distances <50m. However, there was a significant difference in the detection probabilities of individual loggers and also the transmission performance of individual tags. Static tags were less likely to be detected than the mobile tag; and although RSSI was somewhat related to distance, the reliability of this parameter was highly variable. Implications We recommend caution in the future use of current radio frequency ID tags in wireless sensor networks to track the movement of small animals, and in the use of RSSI as an indicator of individual distance values, as extensive in situ calibration is required. ‘Off the shelf’ devices may vary in performance, rendering data unreliable. We emphasise the importance of calibrating all equipment in animal tracking studies to reduce data uncertainty and error.

scholarly journals Design of a Child Localization System on RFID and Wireless Sensor Networks

2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Chao Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Radio Frequency Identification ◽  
Wireless Sensor ◽  
Theme Park ◽  
Wireless Localization ◽  
Localization System ◽  
Frequency Identification ◽  
Cost Efficient ◽  
Design Experience

Radio Frequency Identification (RFID) and wireless sensor networks are wireless technologies that rapidly emerge and show great potential. Combining RFID and wireless sensor networks provides a cost-efficient way to expand the RFID system's range and to enable an RFID system in areas without a network infrastructure. These two technologies are employed to build a wireless localization system in a children's theme park. The main purpose of this child localization system is to track and locate children within a certain range near some landmarks in the park. The design experience in this project can be exported to other applications such as object tracking and surveillance.

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