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
收藏
页数：21
相关论文
共 50 条
[21]   Mobile Node Localization Algorithm in Wireless Sensor Networks for Intelligent Transportation Systems [J].
Xu, Huazhong ;
Luo, Jie ;
Luo, Man .
PROCEEDINGS OF THE NINTH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE (DCABES 2010), 2010, :491-494
[22]   Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS) [J].
Aldegheishem, Abdulaziz ;
Yasmeen, Humera ;
Maryam, Hafsa ;
Shah, Munam Ali ;
Mehmood, Amjad ;
Alrajeh, Nabil ;
Song, Houbing .
SENSORS, 2018, 18 (07)
[23]   A message efficient intersection control algorithm for intelligent transportation in smart cities [J].
Ni, Wei ;
Wu, Weigang ;
Li, Keqin .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 :339-349
[24]   Recent trends in intelligent transportation systems using big data analysis [J].
Qurashi, Mahvash Iftikhar ;
Ali, Zain Anwar ;
Shafiq, Muhammad ;
Lodhi, Arsalan Khan .
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2023, 72 (01) :29-49
[25]   Big Data analysis from the Smart-Logistics for Smart-Cities [J].
Samir, Tetouani ;
Abdelsamad, Chouar ;
ElAlami, Jamila .
4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19), 2019,
[26]   A collaborative multi-agent message transmission mechanism in intelligent transportation system - A smart freeway example [J].
Lo, Steven K. C. .
INFORMATION SCIENCES, 2012, 184 (01) :246-265
[27]   Visualizing Transportation Routes for Data Analysis in Logistics [J].
Buono, Paolo .
DMS 2016: THE 22ND INTERNATIONAL CONFERENCE ON DISTRIBUTED MULTIMEDIA SYSTEMS, 2016, :210-215
[28]   Multimedia data fusion method based on wireless sensor network in intelligent transportation system [J].
Fanyu Kong ;
Yufeng Zhou ;
Gang Chen .
Multimedia Tools and Applications, 2020, 79 :35195-35207
[29]   Multimedia data fusion method based on wireless sensor network in intelligent transportation system [J].
Kong, Fanyu ;
Zhou, Yufeng ;
Chen, Gang .
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (47-48) :35195-35207
[30]   Transportation, intelligent or smart? On the usage of entropy as an objective function [J].
Pribyl, Ondrej .
2015 SMART CITIES SYMPOSIUM PRAGUE (SCSP), 2015,
12345