Adaptive energy saving algorithms for Internet of Things devices integrating end and edge strategies

Author(s):  
Yang Wang ◽  
Kun Yang ◽  
Weixiang Wan ◽  
Haibo Mei
Author(s):  
Muneer Bani Yassein ◽  
Ismail Hmeidi ◽  
Fatimah Alghazo ◽  
Bayan Odat ◽  
Ayat Smairat

2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  

2014 ◽  
Vol 945-949 ◽  
pp. 3585-3588
Author(s):  
Jen Chi Chang ◽  
Yong Jian Li ◽  
Sang Bing Tsai

With the growth of technology, schools can become intelligent in providing information and resources more easily and promptly. This paper presents an applicable solution which can easily set up an intelligent school by using IOT technology. With the aid of IOT technology, it can help schools in energy saving, interactive teaching, efficient learning and devices management, etc. Furthermore, the related IOT layers are indicated inside as well. Lastly, the future extension will be mentioned for further discussion.


Author(s):  
Jing-Shu Sun ◽  
Teng Zhu ◽  
Marcin Wozniak

AbstractCurrent IoT communication node spacing selection process show may potential areas for improvements such as high delay ratio, high total energy consumption ratio, confusion of the optimal communication information band, intelligent spacing node design under the constraints of the energy-saving selection of IoT communication. Based on energy-saving constraints, the link status between nodes is evaluated through link stability and link quality. In order to prevent the generation of serious noisy nodes and frequency hopping data, the interference nodes under the intrusion of the Internet of Things are identified by determining transition amplitude of the noise nodes in the transmission data sequence. Finally, according to the calculation results of the optimal communication node selection, the design of the intelligent spacing selection model for the communication nodes of the Internet of Things is realized. The simulation results show that the established model not only reduces energy consumption of nodes, shortens the average transmission delay of nodes, but also improves anti-interference effect of node spacing selection.


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