What does this research mean for the field?

The Adaptive Dual-Mode Operational Swarm (ADMOS) architecture significantly improves UAV swarm asset-protection rates under both healthy and fully jammed communication conditions compared to standard consensus baselines. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Develop and validate an adaptive dual-mode operational swarm architecture that maintains reliable asset defense when inter-agent communication is degraded or jammed.

September 2, 2026Discover VehiclesOpen Access

Adaptive dual mode operational swarm control for resilient asset defense under communication jamming

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Authors

MHMohamed Hijazy Shazin Hassan DVDandu S. N. Venkata Pavan Raghavend Varma JBJaswanth Kumar Bobbadi

Discussion

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Implication

Simulation study demonstrates enhanced asset defense under severe communication jamming in drone swarms, indicating the resilience of hybrid cooperative-autonomous control architectures.

Key Points

Develop and validate an adaptive dual-mode operational swarm architecture that maintains reliable asset defense when inter-agent communication is degraded or jammed.
Integrated Covariance Intersection for distributed state estimation, a hybrid supervisor using hysteresis and minimum dwell times for mode switching, and a 10 Hz higher-order control-barrier-function safety filter.
Evaluated the control architecture across 80-trial simulations per scenario in a high-fidelity quadrotor simulator under healthy and fully jammed communication conditions.
ADMOS achieved asset-protection rates of 92.5% under healthy links and 84.0% under full jamming, compared to 78.4% and 42.0%, respectively, for the consensus baseline.
Zero safety violations occurred across all evaluated trials under feasible operating parameters and bounded sensing uncertainty.

Cite This Study

Hassan et al. (2026) studied this question.

synapsesocial.com/papers/6a97e305c562ede874ec78b7 https://doi.org/10.1007/s44465-026-00041-0

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September 2, 2026Discover VehiclesOpen Access

Adaptive dual mode operational swarm control for resilient asset defense under communication jamming

View Full Paper

Ask AI

Bookmark

Authors

MHMohamed Hijazy Shazin Hassan DVDandu S. N. Venkata Pavan Raghavend Varma JBJaswanth Kumar Bobbadi

Discussion

Member takes

Implication

Simulation study demonstrates enhanced asset defense under severe communication jamming in drone swarms, indicating the resilience of hybrid cooperative-autonomous control architectures.

Key Points

Develop and validate an adaptive dual-mode operational swarm architecture that maintains reliable asset defense when inter-agent communication is degraded or jammed.
Integrated Covariance Intersection for distributed state estimation, a hybrid supervisor using hysteresis and minimum dwell times for mode switching, and a 10 Hz higher-order control-barrier-function safety filter.
Evaluated the control architecture across 80-trial simulations per scenario in a high-fidelity quadrotor simulator under healthy and fully jammed communication conditions.
ADMOS achieved asset-protection rates of 92.5% under healthy links and 84.0% under full jamming, compared to 78.4% and 42.0%, respectively, for the consensus baseline.
Zero safety violations occurred across all evaluated trials under feasible operating parameters and bounded sensing uncertainty.

Cite This Study

Hassan et al. (2026) studied this question.

synapsesocial.com/papers/6a97e305c562ede874ec78b7 https://doi.org/10.1007/s44465-026-00041-0

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