CORTEXA
← Browse
arxiveess.SY2026-06-26

A Bi-Layer TSN Formulation for Separable Scheduling of Mobile Emergency Resources

Wei Wang, Minwu Chen, Yinyu Chen, Jingyan He

Separable scheduling unleashes the deployment flexibility of mobile emergency resources by dispatching carriers and functional modules separately yet in a coordinated manner, offering a promising avenue to enhance power system resilience. However, this flexibility induces a distinct carrier-supported module routing structure, where non-self-mobile modules must be routed through compatible carrier movements. The resulting carrier-module spatio-temporal coupling makes exact and tractable optimization challenging. This letter identifies this structure and develops a novel exact bi-layer time-space network formulation as a mixed-integer linear program. The proposed formulation represents carrier and module trajectories as interacting network flows and enforces their support relations through explicit arc-level coupling. Compared with the prior logic-based model, the proposed formulation preserves exactness while improving modeling flexibility by eliminating mandatory post-arrival dwelling. Numerical studies validate its correctness and demonstrate substantial computational advantages.

View free PDFSource page

Related papers

arxiveess.SY2026-07-13

A Hierarchical Semi-Markov Load Model for AI Data Centers Coupling Job Scheduling with Bulk-Synchronous-Parallel Power Dynamics

Chandan Chaudhary, Atri Bera, Cody Newlun, Mohammed Ben-Idris, Joydeep Mitra

AI data centers are emerging as a dominant new load class with their power dynamics fundamentally from conventional industrial loads. Inside a training job, the bulk-synchronous-parallel algorithm moves each node through compute, sync, and checkpoint steps, which swings power bet…

View free PDFSource page
arxiveess.SPeess.SY2026-07-15

From Metric to Mechanism: Designing Wireless Resilience through Finite Blocklength Dynamics

Kevin Weinberger, Aydin Sezgin, Mehdi Bennis

Next-generation wireless networks must maintain reliable operation under abrupt and severe disruptions, particularly in ultra-reliable low-latency communication (URLLC) scenarios where strict time constraints dominate system design. This work addresses network resilience from a t…

View free PDFSource page
arxivcs.ROeess.SY2026-07-12

Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling

Akshay Naik, Ramavarapu S. Sreenivas, Dustin Nottage, Ahmet Soylemezoglu

Underwater dead reckoning estimates vehicle position when vision is unavailable and external positioning cannot be assumed. A single set of filter parameters can work well in many situations, but fixed tuning may be poorly matched during turns, motion transitions, or periods when…

View free PDFSource page
arxiveess.SY2026-07-10

Latency-Aware Digital Twin-Assisted Cooperative Perception for Autonomous Vehicles

Boniface Uwizeyimana, Manobendu Sarker, Abraham O. Fapojuwo

This paper introduces a digital-twin (DT)-assisted cooperative perception framework designed to improve perception accuracy under end-to-end (E2E) latency constraints and to balance perception accuracy and E2E latency under communication resource constraints in autonomous vehicle…

View free PDFSource page
arxivcs.ROcs.CVcs.HCeess.SY2026-07-19

From Perception to Assistance: Open-Vocabulary Shared Autonomy for Robotic Manipulation

Murilo Vinicius da Silva, Ricardo V. Godoy, Juliano Negri, Gustavo J. G. Lahr, Ranulfo Bezerra, Marcelo Becker

Teleoperating a robotic manipulator in industrial environments demands precision that camera-based interfaces alone struggle to deliver. The operator must align the end-effector with a target in clutter, under limited depth perception, and without colliding with the surrounding s…

View free PDFSource page