scholarly journals CoAP-Based Mobility Management for the Internet of Things

Sensors ◽  
2015 ◽  
Vol 15 (7) ◽  
pp. 16060-16082 ◽  
Author(s):  
Seung-Man Chun ◽  
Hyun-Su Kim ◽  
Jong-Tae Park
2018 ◽  
Vol 29 (1/2) ◽  
pp. 116
Author(s):  
Oryema Brian ◽  
Seung Man Chun ◽  
Cheol Woo Jung ◽  
Jong Tae Park

2018 ◽  
Vol 29 (1/2) ◽  
pp. 116
Author(s):  
Jong Tae Park ◽  
Cheol Woo Jung ◽  
Oryema Brian ◽  
Seung Man Chun

Author(s):  
Dr. DuraiPandian M

The tremendous progress in the internet of things incorporating multitudes of wireless interfaces have ended up with dense deployment of multi-networks that are associated with the internet of things and supported by wireless communications that are heterogeneous. Effective management of the multi-networks with a proper flow scheduling and a mobility management in order to provide a seamless conveyance are a tedious and a challenging task. The incompatibility of the software defined networks to manage with the densely deployed multi networks has increased the necessity for developing a more suitable flow scheduler and mobility manager for the multi networks of internet of things. So this paper presents the Improved- flow scheduling and the mobility management protocol (IFSMM) to guarantee the network performance that provides a seamless accessing of internet of things. The IFSMM is simulated using the NS-2 to confirm the performance achievement through the proper management of the transmission on the grounds of throughput, latency and the jitter.


2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


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