Conference Information

WiSARN 2023: International Workshop on WIreless Sensing and Actuating Robotic Networks

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WiSARN
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Submission Date:
2022-12-20
Notification Date:
2023-02-06
Conference Date:
2023-05-17
Location:
New York, USA
Years:
16
Viewed: 14650   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

48.0 / 100
Ranked #1,969 of 5,650 conferences · Top 35%

#293 of 862 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
76
Community attention (10%)
15
Public record completeness (15%)
25

Inputs used: Editions on record: 16 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
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Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-06

Call For Papers

WiSARN 2023 (International Workshop on WIreless Sensing and Actuating Robotic Networks) is an academic conference held in New York, USA on 2023-05-17. The paper submission deadline is 2022-12-20. Acceptance notifications are sent on 2023-02-06.

Ground, aerial and marine robots have been progressively introduced in several use-cases, from industry 4.0 to smart cities and precision agriculture. Thanks to the embedded circuitry, mobile robots can serve as mobile sensors/actuators, replacing or complementing static infrastructures. In addition, their computational power enables the data processing on the edge and/or the dynamic offloading of computational tasks towards/from a remote cloud. The frontier of research envisages the deployment of highly autonomic and integrated scenarios where heterogeneous ground, aerial and/or marine robots coordinate each other and with the existing sensing and processing infrastructures to accomplish complex tasks. On the one side, this implies proposing and investigating novel M2M solutions and network protocols to enable the data communication on the aerial and ground segments while taking into account the novel possibilities offered by the emerging technologies (e.g., 5G/6G and LEO satellite communications). The communication technologies must be paired with proper control mobility functions to support swarm operations and to instill coordinated behaviors. On the other side, the data processing on the mobile edges may take advantage of emerging federated and embedded AI techniques to drastically reduce the latency of the decision process while limiting the amount of data transferred from the robotic networks. WiSARN aims at bringing together scientific communities that share this particular research agenda to discuss state-of-the-art contributions on the design, specification, and evaluation of architectures, algorithms, applications, and protocols for current and future applications of wireless ground, marine and aerial robotic networks. Original, unpublished contributions are solicited in design, development and evaluation of wireless ground, marine and aerial robotic networks. Possible topics include, but are not limited to: Network protocols and wireless communication technologies for robotic systems 5G/6G enabled robotic systems Communications and networking for swarm coordination Infrastructure-to-robot and robot-to-robot communication Robotic motion control and swarm modeling and management Data management and processing in robotic systems Embedded AI and federated learning solutions in robotic systems AI-driven communication and computing in robotic systems Path planning and target tracking in robotic networks Task assignment in robotic networks Cloud/fog/edge computing platforms for robotic systems Energy efficiency and endurance management in robotic networks Quality of service, security, and robustness issues in robotic networks Blockchain-enabled robotic systems Novel applications of robotic systems
Last updated by Dou Sun on

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