scholarly journals An Efficient Data Forwarding Scheme for Internet of Things in Wi-Fi Networks

2015 ◽  
Vol 8 (S8) ◽  
pp. 112
Author(s):  
Won-Shik Na ◽  
Seok-Hoon Kim
Keyword(s):  
Internet Of Things ◽  
Data Forwarding ◽  
Efficient Data

scholarly journals Efficient Data Forwarding in Internet of Things and Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-2 ◽  
Author(s):  
Dongkyun Kim ◽  
Houbing Song ◽  
Juan C. Cano ◽  
Wei Wang
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Data Forwarding ◽  
Efficient Data

scholarly journals Efficient Data Forwarding for Machine Type Communications in Internet of Things Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Yujin Lim ◽  
Jaesung Park
Keyword(s):  
Internet Of Things ◽  
Success Probability ◽  
Traffic Load ◽  
Collision Probability ◽  
Channel Access ◽  
Data Forwarding ◽  
Machine Type ◽  
Machine Type Communications ◽  
Efficient Data ◽  
Communications System

The MTC (Machine Type Communications) system is one of the most promising technologies to provide IoT (Internet of Things) applications. The MTC system suffers from congestion due to limited data transmission capacity and burst traffic. The congestion disturbs data delivery, results in an increase of energy consumption due to data retransmission, and finally poses a threat to the providers of IoT applications. In this paper, we focus on the congestion problem and present an efficient data forwarding mechanism to regulate the burst channel access from a large number of MTC devices. To regulate the communication channel access from the devices, we predict the number of devices by separating traffic load into the prediction of the number of devices that newly attempt to have access and the prediction of the number of devices that retry to access the channel. Through simulations, we show that our mechanism improves access success probability and reduces collision probability and access delay.

scholarly journals Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis

2021 ◽  
pp. 1-1
Author(s):  
Xiaoxian Wang ◽  
Siliang Lu ◽  
Wenbin Huang ◽  
Qunjing Wang ◽  
Shiwu Zhang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Internet Of Things ◽  
Data Reduction ◽  
Industrial Internet Of Things ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Industrial Internet ◽  
Efficient Data

Efficient data uncertainty management for health industrial internet of things using machine learning

2021 ◽  
Author(s):  
Khalid Haseeb ◽  
Tanzila Saba ◽  
Amjad Rehman ◽  
Imran Ahmed ◽  
Jaime Lloret
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Uncertainty Management ◽  
Data Uncertainty ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Efficient Data

Energy Efficient Data Collection in Large-Scale Internet of Things via Computation Offloading

2019 ◽  
Vol 6 (3) ◽  
pp. 4176-4187 ◽  
Author(s):  
Guorui Li ◽  
Jingsha He ◽  
Sancheng Peng ◽  
Weijia Jia ◽  
Cong Wang ◽  
...  
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Large Scale ◽  
Computation Offloading ◽  
Efficient Data ◽  
Efficient Data Collection

Towards Named Data Networking for Internet of Things Search Engines

2022 ◽  
pp. 1-26
Author(s):  
Hengshuo Liang ◽  
Lauren Burgess ◽  
Weixian Liao ◽  
Chao Lu ◽  
Wei Yu
Keyword(s):  
Internet Of Things ◽  
Search Engines ◽  
Cost Effective ◽  
World Systems ◽  
Named Data Networking ◽  
Simple Simulation ◽  
Efficient Data ◽  
Energy Transportation ◽  
Extensive Performance ◽  
Data Networking

The advance of internet of things (IoT) techniques enables a variety of smart-world systems in energy, transportation, home, and city infrastructure, among others. To provide cost-effective data-oriented service, internet of things search engines (IoTSE) have received growing attention as a platform to support efficient data analytics. There are a number of challenges in designing efficient and intelligent IoTSE. In this chapter, the authors focus on the efficiency issue of IoTSE and design the named data networking (NDN)-based approach for IoTSE. To be specific, they first design a simple simulation environment to compare the IP-based network's performance against named data networking (NDN). They then create four scenarios tailored to study the approach's resilience to address network issues and scalability with the growing number of queries in IoTSE. They implement the four scenarios using ns-3 and carry out extensive performance evaluation to determine the efficacy of the approach concerning network resilience and scalability. They also discuss some remaining issues that need further research.

scholarly journals Information Freshness-Guaranteed and Energy-Efficient Data Generation Control System in Energy Harvesting Internet of Things

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 168711-168720
Author(s):  
Haneul Ko ◽  
Hochan Lee ◽  
Taeyun Kim ◽  
Sangheon Pack
Keyword(s):  
Control System ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Data Generation ◽  
Efficient Data ◽  
Generation Control

A secure and efficient data sharing scheme based on blockchain in industrial Internet of Things

2020 ◽  
Vol 167 ◽  
pp. 102710 ◽  
Author(s):  
Jiancheng Chi ◽  
Yu Li ◽  
Jing Huang ◽  
Jing Liu ◽  
Yingwei Jin ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Industrial Internet Of Things ◽  
Sharing Scheme ◽  
Industrial Internet ◽  
Efficient Data
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