Collaborative Reliable Event Transport Based on Mobile-Assisted Sensing in Urban Digital Twin

被引：2

作者：

Yang, Taehun ^{[1
]}

Park, Soochang ^{[2
]}

Kim, Sang-Ha ^{[1
]}

机构：

[1] Chungnam Natl Univ, Dept Comp Sci & Engn, Daejeon 34134, South Korea

[2] Chungbuk Natl Univ, Dept Comp Engn, Cheongju 28644, South Korea

来源：

ELECTRONICS | 2022年 / 11卷 / 10期

关键词：

digital twin; smart city; wireless communication; mobile devices; Bluetooth; AIR-QUALITY; CHALLENGES; NETWORKS; SYSTEM;

D O I：

10.3390/electronics11101550

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For urban digital twin, this paper comes up with a novel urban data acquisition scheme, denoted by collaborative reliable event transport (cRET), that conducts micro-scale sensing resolution in urban environments. cRET relies on battery-powered sensors with Bluetooth low-energy (BLE) modules and the smart mobile devices that people carry around urban places. However, the traditional data acquisition schemes with mobile assistance suffer from the poor communication channel quality of BLE. So, it is tough to achieve enough reliability of event observation. Hence, cRET utilizes overhearing-based collaboration among sensors to improve the data delivery ratio. It also could support reliable transmission over mobile devices despite high-speed moving. A proof-of-concept demonstrates that the reliability is improved by the overhearing and collaboration among sensors against low-channel conditions and a high moving speed of mobile devices, i.e., 30 km/h and more.

引用

页数：13

共 18 条

[1] A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications [J].

Barricelli, Barbara Rita ;

Casiraghi, Elena ;

Fogli, Daniela .

IEEE ACCESS, 2019, 7 :167653-167671

[2] Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators [J].

Chen, Min ;

Yang, Jun ;

Hu, Long ;

Hossain, M. Shamim ;

Muhammad, Ghulam .

IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (11) :14-20

[3] Towards Smart City: Sensing Air Quality in City based on Opportunistic Crowd-sensing [J].

Dutta, Joy ;

Chowdhury, Chandreyee ;

Roy, Sarbani ;

Middya, Asif Iqbal ;

Gazi, Firoj .

18TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING (ICDCN 2017), 2017,

[4] Digital Twin: Enabling Technologies, Challenges and Open Research [J].

Fuller, Aidan ;

Fan, Zhong ;

Day, Charles ;

Barlow, Chris .

IEEE ACCESS, 2020, 8 :108952-108971

[5] A Novel MAC Protocol Exploiting Concurrent Transmissions for Massive LoRa Connectivity [J].

Hou, Yujun ;

Liu, Zujun ;

Sun, Dechun .

JOURNAL OF COMMUNICATIONS AND NETWORKS, 2020, 22 (02) :108-117

[6] A Novel Wireless Sensor Network Frame for Urban Transportation [J].

Hu, Xiaoya ;

Yang, Liuqing ;

Xiong, Wei .

IEEE INTERNET OF THINGS JOURNAL, 2015, 2 (06) :586-595

[7] A Crowdsource-Based Sensing System for Monitoring Fine-Grained Air Quality in Urban Environments [J].

Huang, Jingchang ;

Duan, Ning ;

Ji, Peng ;

Ma, Chunyang ;

Hu, Feng ;

Ding, Yuanyuan ;

Yu, Yipeng ;

Zhou, Qianwei ;

Sun, Wei .

IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) :3240-3247

[8] A Hybrid Method to Improve the BLE-Based Indoor Positioning in a Dense Bluetooth Environment [J].

Huang, Ke ;

He, Ke ;

Du, Xuecheng .

SENSORS, 2019, 19 (02)

[9] Congestion Control Protocols in Wireless Sensor Networks: A Survey [J].

Kafi, Mohamed Amine ;

Djenouri, Djamel ;

Ben-Othman, Jalel ;

Badache, Nadjib .

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (03) :1369-1390

[10] Adaptive Flow Control Using Movement Information in Mobile-Assisted Sensor Data Collection [J].

Kim, Cheonyong ;

Kim, Sangdae ;

Jung, Kwansoo .

IEEE SENSORS JOURNAL, 2020, 20 (20) :12435-12446

← 1 2 →