Energy Saving Using Privacy Data Secure Aggregation Algorithm

Kumar, K. Praveen; Ranganayaki, V. Sree

doi:10.1109/bharat53139.2022.00030

Cited by 1 publication

(1 citation statement)

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“…This breakthrough enabled healthcare professionals to make informed decisions in real time, considerably improving the efficiency of such systems. Consequently, a secure aggregation algorithm [ 18 ] was proposed by Kumar et al to balance between the privacy and energy efficiency in data aggregation, which showed tremendous promise for various applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Live Intersection Data Acquisition for Traffic Simulators (LIDATS)

Renninger,

Ameen Noman,

Atkison

et al. 2024

Sensors

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Real-time traffic signal acquisition and network transmission are essential components of intelligent transportation systems, facilitating real-time traffic monitoring, management, and analysis in urban environments. In this paper, we introduce a comprehensive system that incorporates live traffic signal acquisition, real-time data processing, and secure network transmission through a combination of hardware and software modules, called LIDATS. LIDATS stands for Live Intersection Data Acquisition for Traffic Simulators. The design and implementation of our system are detailed, encompassing signal acquisition hardware as well as a software platform that is used specifically for real-time data processing. The performance evaluation of our system was conducted by simulation in the lab, demonstrating its capability to reliably capture and transmit data in real time, and to effectively extract the relevant information from noisy and complex traffic data. Supporting a variety of intelligent transportation applications, such as real-time traffic flow management, intelligent traffic signal control, and predictive traffic analysis, our system enables remote data analysis and decisionmaking, providing valuable insights and enhancing the traffic efficiency while reducing the congestion in urban environments.

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Section: Literature Reviewmentioning

confidence: 99%