Energy-Efficient Access Point Deployment for Industrial IoT Systems
作者：
Qi X.;Geng J.;Kashef M.;Bhattacharyya S.S.;Candell R.
通讯作者：
Qi, X.
作者机构：
University of Maryland, College Park, MD 20740, United States
National Institute of Standards and Technology, Gaithersburg, MD 20899, United States
通讯机构：
University of MarylandUnited States
语种：
英文
关键词：
Genetic Algorithm,Green Communication,Wireless Industrial IoT
期刊：
IFIP Advances in Information and Communication Technology
ISSN：
1868-422X
年：
2024
卷：
683 AICT
页码：
182-195
会议名称：
6th IFIP International Conference on Internet of Things, IFIP IoT 2023
会议时间：
2 November 2023 through 3 November 2023
摘要：
Internet of Things (IoT) technologies have impacted many fields by opening up much deeper and more extensive integration of communications connectivity, sensing, and embedded processing. The industrial sector is among the areas that have been impacted greatly — for example, IoT has the potential to provide novel capabilities for more effective tracking, control and optimization of industrial processes. To maintain reliable embedded processing and connectivity in industrial IoT (IIoT) systems, including systems that involve intensive use of smart wearable technologies, energy consumption is often a critical consideration. With this motivation, this paper develops an energ...
