Abstract
For synchronization purposes, most applications require data to be transferred onto a cloud or shared with other edge devices. Transferring data between edge devices using wireless connectivity consumes power and bandwidth; therefore it is crucial to transmit a minimal amount of data. This poster presents an efficient method and preliminary analysis for minimizing data flow between edge devices and experimental results on the amount of transmitted data with radio use of $e$(-Nm), where n is the maximum difference between wake-up times and m is the number of devices that wake up at arbitrary time points. Besides the amount of data, our approach also focuses on the radio use of each device.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE/ACM Symposium on Edge Computing, SEC 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 258-260 |
Number of pages | 3 |
ISBN (Electronic) | 9798400701238 |
DOIs | |
State | Published - 2023 |
Event | 8th Annual IEEE/ACM Symposium on Edge Computing, SEC 2023 - Wilmington, United States Duration: 6 Dec 2023 → 9 Dec 2023 |
Publication series
Name | Proceedings - 2023 IEEE/ACM Symposium on Edge Computing, SEC 2023 |
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Conference
Conference | 8th Annual IEEE/ACM Symposium on Edge Computing, SEC 2023 |
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Country/Territory | United States |
City | Wilmington |
Period | 6/12/23 → 9/12/23 |
Bibliographical note
Publisher Copyright:© 2023 ACM.
Keywords
- communication
- graph
- optimization
- slam
- synchronization