A low power consumption secure transmission method of intelligent electric manhole cover based on edge computing

Huahui Lou; Qian Ji; Guizhen Zhou; Chao Ye; Peng Wang

doi:10.1117/12.2636623

8 May 2022 A low power consumption secure transmission method of intelligent electric manhole cover based on edge computing

Huahui Lou, Qian Ji, Guizhen Zhou, Chao Ye, Peng Wang

Author Affiliations +

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 1224910 (2022) https://doi.org/10.1117/12.2636623
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

Aiming at the problems of signal security and network energy consumption in the data transmission process of intelligent electric manhole cover, a low-power secure transmission method of intelligent electric manhole cover based on edge computing is proposed in this paper. Firstly, the transmission mode of each node is determined according to the location of each edge node and the maximum transmission power, with the goal of maximizing the safety capacity. On this basis, the transmission path is determined according to the data size collected by the intelligent electric manhole cover and the processing capacity of each node, with the goal of minimizing network energy consumption.

Citation Download Citation

Huahui Lou, Qian Ji, Guizhen Zhou, Chao Ye, and Peng Wang "A low power consumption secure transmission method of intelligent electric manhole cover based on edge computing", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 1224910 (8 May 2022); https://doi.org/10.1117/12.2636623

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available