Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher
With the rapid development of IoT (Internet of Things), massive data is delivered through trillions of interconnected smart devices. The heterogeneous networks trigger frequently the congestion and influence indirectly the application of IoT. The traditional TCP will highly possible to be reformed s...
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Online Access: | https://www.mdpi.com/2079-9292/8/2/134 |
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doaj-a3b5bb33990d42c780d7d39eab9c89552020-11-24T21:46:32ZengMDPI AGElectronics2079-92922019-01-018213410.3390/electronics8020134electronics8020134Adaptive Method for Packet Loss Types in IoT: An Naive Bayes DistinguisherYating Chen0Lingyun Lu1Xiaohan Yu2Xiang Li3School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaWith the rapid development of IoT (Internet of Things), massive data is delivered through trillions of interconnected smart devices. The heterogeneous networks trigger frequently the congestion and influence indirectly the application of IoT. The traditional TCP will highly possible to be reformed supporting the IoT. In this paper, we find the different characteristics of packet loss in hybrid wireless and wired channels, and develop a novel congestion control called NB-TCP (Naive Bayesian) in IoT. NB-TCP constructs a Naive Bayesian distinguisher model, which can capture the packet loss state and effectively classify the packet loss types from the wireless or the wired. More importantly, it cannot cause too much load on the network, but has fast classification speed, high accuracy and stability. Simulation results using NS2 show that NB-TCP achieves up to 0.95 classification accuracy and achieves good throughput, fairness and friendliness in the hybrid network.https://www.mdpi.com/2079-9292/8/2/134Internet of Thingswired/wireless hybrid networkTCPnaive bayesian model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yating Chen Lingyun Lu Xiaohan Yu Xiang Li |
spellingShingle |
Yating Chen Lingyun Lu Xiaohan Yu Xiang Li Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher Electronics Internet of Things wired/wireless hybrid network TCP naive bayesian model |
author_facet |
Yating Chen Lingyun Lu Xiaohan Yu Xiang Li |
author_sort |
Yating Chen |
title |
Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher |
title_short |
Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher |
title_full |
Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher |
title_fullStr |
Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher |
title_full_unstemmed |
Adaptive Method for Packet Loss Types in IoT: An Naive Bayes Distinguisher |
title_sort |
adaptive method for packet loss types in iot: an naive bayes distinguisher |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2019-01-01 |
description |
With the rapid development of IoT (Internet of Things), massive data is delivered through trillions of interconnected smart devices. The heterogeneous networks trigger frequently the congestion and influence indirectly the application of IoT. The traditional TCP will highly possible to be reformed supporting the IoT. In this paper, we find the different characteristics of packet loss in hybrid wireless and wired channels, and develop a novel congestion control called NB-TCP (Naive Bayesian) in IoT. NB-TCP constructs a Naive Bayesian distinguisher model, which can capture the packet loss state and effectively classify the packet loss types from the wireless or the wired. More importantly, it cannot cause too much load on the network, but has fast classification speed, high accuracy and stability. Simulation results using NS2 show that NB-TCP achieves up to 0.95 classification accuracy and achieves good throughput, fairness and friendliness in the hybrid network. |
topic |
Internet of Things wired/wireless hybrid network TCP naive bayesian model |
url |
https://www.mdpi.com/2079-9292/8/2/134 |
work_keys_str_mv |
AT yatingchen adaptivemethodforpacketlosstypesiniotannaivebayesdistinguisher AT lingyunlu adaptivemethodforpacketlosstypesiniotannaivebayesdistinguisher AT xiaohanyu adaptivemethodforpacketlosstypesiniotannaivebayesdistinguisher AT xiangli adaptivemethodforpacketlosstypesiniotannaivebayesdistinguisher |
_version_ |
1725901547710185472 |