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 Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences

2021 ◽  
Author(s):  
Ihsan Ali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Internet Of Things ◽  
Wireless Sensor ◽  
Future Research ◽  
Research Areas ◽  
Comprehensive Survey ◽  
Efficient Data ◽  
Sensor Cloud

<div>Data collection is an essential part of sensor devices, particularly in such technologies Like Internet of Things (IoT), wireless sensor networks (WSN), and sensor cloud (SC). In recent years, various literature had been published in these research areas to propose different models, architectures, and contributions in the domains. Due to the importance of efficient data collection regarding reducing. energy consumption, latency, network lifetime, and general cost, a momentous literature volume has been published to facilitate data collection. Hence, review studies have been conducted on data collection in these domains in isolation. However, a lack of comprehensive review collectively identifies and analyzes the differences and similarities among the data collection proposals in IoT, WSN, and SC. The main objective of this research is to conduct a comprehensive survey to explore the current state, use cases, contributions, performance measures, evaluation measures, and architecture in the IoT, WSN, and SC research domains. The findings indicate that studies on data collection in IoT, WSN, and SC are relatively consistent with stable output in the last five years. Nine novel contributions are found with models, algorithms, and frameworks being the most utilized by the selected studies. In conclusion, key research challenges and future research directions have been identified and discussed.</div>

scholarly journals Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences

2021 ◽  
Author(s):  
Ihsan Ali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Internet Of Things ◽  
Wireless Sensor ◽  
Future Research ◽  
Research Areas ◽  
Comprehensive Survey ◽  
Efficient Data ◽  
Sensor Cloud

<div>Data collection is an essential part of sensor devices, particularly in such technologies Like Internet of Things (IoT), wireless sensor networks (WSN), and sensor cloud (SC). In recent years, various literature had been published in these research areas to propose different models, architectures, and contributions in the domains. Due to the importance of efficient data collection regarding reducing. energy consumption, latency, network lifetime, and general cost, a momentous literature volume has been published to facilitate data collection. Hence, review studies have been conducted on data collection in these domains in isolation. However, a lack of comprehensive review collectively identifies and analyzes the differences and similarities among the data collection proposals in IoT, WSN, and SC. The main objective of this research is to conduct a comprehensive survey to explore the current state, use cases, contributions, performance measures, evaluation measures, and architecture in the IoT, WSN, and SC research domains. The findings indicate that studies on data collection in IoT, WSN, and SC are relatively consistent with stable output in the last five years. Nine novel contributions are found with models, algorithms, and frameworks being the most utilized by the selected studies. In conclusion, key research challenges and future research directions have been identified and discussed.</div>

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 Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks

Symmetry ◽  
2017 ◽  
Vol 9 (11) ◽  
pp. 269 ◽  
Author(s):  
Mi Zhou ◽  
Ming Zhao ◽  
Anfeng Liu ◽  
Ming Ma ◽  
Tiang Wang ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Data Forwarding ◽  
Mobile Targets ◽  
Efficient Data

Reliable and Energy-Efficient Data Forwarding in Industrial Wireless Sensor Networks

2017 ◽  
Vol 11 (3) ◽  
pp. 1424-1434 ◽  
Author(s):  
Xianzhong Tian ◽  
Yi-Hua Zhu ◽  
Kaikai Chi ◽  
Jiajia Liu ◽  
Daqiang Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Data Forwarding ◽  
Industrial Wireless Sensor Networks ◽  
Efficient Data
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