Software defined solutions for sensors in 6G/IoE

• Published in: Computer communications Vol. 153; pp. 42 - 47
• Main Authors: Lv, Zhihan, Kumar, Neeraj
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2020
• Subjects: Dual channel; Fog computing; Software definition network; Wireless sensor; Fog computing; Wireless sensor; Software definition network; Dual channel
• ISSN: 0140-3664; 1873-703X
• DOI: 10.1016/j.comcom.2020.01.060

In order to widely apply 6G/IoE (Internet of Everything) to various scenarios in real life and link the infrastructure closely related to people through the network, this paper analyzes the dual-channel architecture defined by the software of wireless sensor in 6G/IoE and proposes a reasonable solution to reduce the signal interference, so as to better transmit the related signals. Moreover, the node data in the sensor is processed by fog computing and edge computing, and the network communication quality is judged by transmission energy consumption and packet loss rate. On this basis, the delay, channel transmission, and total network throughput are analyzed to find the problem. The results show that the dual-channel architecture of software-defined wireless sensor can transmit control messages and sensor messages of nodes separately, which not only reduces the traffic load of single channel, but also avoids collision between control messages and sensor messages of nodes. It improves the information transmission performance of the network and facilitates the further application of 6G/IoE. Therefore, the analysis of the software definition of sensor and the solution proposed play an important role in the widespread use of 6G/IoE.