A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

被引：5

作者：

Sun, Kyunghee ^{[1
]}

Ryoo, Intae ^{[1
]}

机构：

[1] Kyung Hee Univ, Dept Comp Sci & Engn, 1732 Deogyeong Daero, Yongin 17104, Gyeonggi Do, South Korea

来源：

INFORMATICS-BASEL | 2018年 / 5卷 / 01期

关键词：

smart sensor network; Internet of Things; energy efficiency; data transmission; logistics; intelligent transportation system; Group Management MAC;

D O I：

10.3390/informatics5010015

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on the distance from the sink node and transmits data by setting different buffer thresholds to each group. This method reduces energy consumption of sensor devices located near the sink node and enhances the IoT system's general energy efficiency. When a sensor device is moved and, thus, becomes unable to transmit data, it is allocated to a new group so that it can continue transmitting data to the sink node.

引用

页数：21

共 50 条

[41] Vehicle-cluster-based opportunistic relays for data collection in intelligent transportation systems [J].

Sun, Sheng ;

Zhang, Zengqi ;

Pan, Quyang ;

Liu, Min ;

Li, Zhongcheng .

COMPUTER NETWORKS, 2023, 220

[42] Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems [J].

Tzeng, Gwo-Hshiung ;

Huang, Chi-Yo .

ANNALS OF OPERATIONS RESEARCH, 2012, 197 (01) :159-190

[43] Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems [J].

Gwo-Hshiung Tzeng ;

Chi-Yo Huang .

Annals of Operations Research, 2012, 197 :159-190

[44] Intelligent Sensing Framework: Near-Sensor Machine Learning for Efficient Data Transmission [J].

Huang, Wenjun ;

Rezvani, Arghavan ;

Chen, Hanning ;

Ni, Yang ;

Yun, Sanggeon ;

Jeong, Sungheon ;

Zhang, Guangyi ;

Imani, Mohsen .

IEEE SENSORS JOURNAL, 2024, 24 (21) :35858-35871

[45] Distributed Learning in Intelligent Transportation Systems: A Survey [J].

Li, Qiong ;

Zhou, Wanlei ;

Zheng, Xi .

INFORMATION, 2024, 15 (09)

[46] Wireless Services and Intelligent Vehicle Transportation Systems [J].

Hung, Chungen ;

Yarali, Abdulrahman .

2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2011, :63-68

[47] Research on Development and Model of Intelligent Transportation Systems [J].

Wang Danping ;

Hu Kunyuan ;

Han Xiaowei .

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 :268-274

[48] Dual Sink-Based Optimized Sensing for Intelligent Transportation Systems [J].

Verma, Sandeep ;

Kaur, Satnam ;

Sharma, Ajay Kumar ;

Kathuria, Ankit ;

Piran, Md. Jalil .

IEEE SENSORS JOURNAL, 2021, 21 (14) :15867-15874

[49] Sm@rt Logistics: Intelligent networked systems [J].

Schuh, G. .

CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2006, 55 (01) :505-508

[50] The Internet of Energy: Smart Sensor Networks and Big Data Management for Smart Grid [J].

Jaradat, Manar ;

Jarrah, Moath ;

Bousselham, Abdelkader ;

Jararweh, Yaser ;

Al-Ayyoub, Mahmoud .

10TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC 2015) / THE 12TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2015) AFFILIATED WORKSHOPS, 2015, 56 :592-597

← 1 2 3 4 5 →