arXiv subjects

Dhrumil Bhatt

Publications and source records attributed to Dhrumil Bhatt.

9 recordsLinked to original sources

arXiv2026

Entropy-Adaptive Multi-Map Chaotic Modulation for Physical-Layer Security

This paper presents a Multi-Map Dynamic-Entropy Intrusion-Aware Chaotic Modulation (MU-DE-IAEACM-MM) framework for adaptive physical-layer security in multi-user wireless systems. Unlike conventional chaos-based schemes that rely on static parameter secrecy, the proposed architecture treats entropy as a regulated security variable and dynamically updates chaotic control parameters using an entropy-driven adaptation law. Heterogeneous chaotic maps, including Logistic, Tent, Chebyshev, and Sine generators, are distributed across users to enlarge entropy dimensionality and reduce cross-user statistical dependence. A correlation-based intrusion metric is incorporated to detect improved adversarial reconstruction coherence and trigger controlled entropy escalation. Stability analysis establishes bounded convergence conditions for the adaptive update process. Monte Carlo simulations under AWGN, fading, impulsive, colored, and narrowband interference demonstrate a persistent BER gap between legitimate and mismatched receivers and measurable secrecy capacity gains over representative fixed-parameter chaotic modulation schemes. The framework maintains positive secrecy rates in dense deployments with up to 64 legitimate users and 30 passive eavesdroppers. The results indicate that entropy-regulated multi-map chaotic modulation provides a scalable and synchronisation-stable approach for adaptive physical-layer security in next-generation wireless and IoT networks.

eess.SP↗

arXiv2026

SNF-PRP: A Covert Integrating Sensing and Communications Framework

Integrated sensing and communication (ISAC) enables simultaneous sensing and data transmission but exposes a critical vulnerability: probing signals may be intercepted, revealing both the transmitted information and the act of sensing itself. Existing physical layer security approaches mitigate interception yet operate with detectable signals, leaving sensing activity observable to a passive warden. This paper introduces sub-noise-floor pseudo-random probing (SNF-PRP), a covert sensing framework for OFDM-based ISAC systems under an energy-detection adversary model. SNF-PRP establishes an $\epsilon$-covertness guarantee via Kullback-Leibler (KL) divergence, exploits an $N_{\mathrm{sc}}$-fold spreading gain absent from prior wideband analyses, and derives in closed form the minimum integration length required to achieve a target Cram\'{e}r-Rao bound (CRB). Simulations under 5G~NR n78 numerology confirm sub-0.5\,m range and sub-0.5\,m/s velocity accuracy with KL divergence $5.8\times$ below the covertness threshold, validating joint feasibility at $-12$\,dB and $-15$\,dB probing powers.

eess.SP↗

arXiv2026

Behaviour-aware Hybrid Architecture for Trust-driven Transmissions

Reliable and secure communication is essential for mission-critical aerospace and defence operations involving autonomous platforms such as Unmanned Aerial Vehicles (UAVs), satellites, and ground control systems. In contested or dynamic environments, communication links are frequently exposed to jamming, interference, and cyberattacks, making network resilience a key operational requirement. This paper presents a trust-aware Software-Defined Networking (SDN) framework that enables secure, low-latency failover between heterogeneous communication channels. The proposed architecture integrates a high-bandwidth primary link (e.g., satellite or tactical LTE) with a low-power fallback channel (e.g., RF or mesh), managed by an SDN controller that enforces zero-trust routing policies. A real-time Intrusion Detection System (IDS) continuously updates node trust scores; when trust or link reliability degrades, the controller autonomously switches traffic to the secondary channel, ensuring uninterrupted connectivity. Simulation results in a Mininet-based test environment demonstrate sub-5 ms failover latency, efficient flow installation, and significant reduction in packet loss compared with conventional single-channel or static routing systems. The proposed framework provides a scalable and resilient communication backbone for next-generation aerospace networks, enhancing mission reliability, cyber defence, and autonomous coordination across distributed aerial and space assets.

eess.SY↗

arXiv2026

Resilient Chaotic Cross-Layer Routing for Smart Grid IoT Networks

This paper presents the Distributed Adaptive Multi-Radio Cross-Layer Routing (DAMCR) protocol, designed to enhance reliability, adaptability, and energy efficiency in smart grid and industrial Internet of Things (IoT) communication networks. DAMCR integrates Chaotic Frequency-Hopping Spread Spectrum (C-FHSS) to improve physical-layer security and jamming resilience with Link-Adaptive Quality Power Control (LAQPC) to dynamically regulate transmission power based on instantaneous link quality and residual node energy. To meet heterogeneous traffic requirements, the protocol incorporates priority-aware message classification that differentiates between periodic monitoring data and time-critical fault and protection messages. The proposed framework is implemented and evaluated in MATLAB using a heterogeneous network composed of LoRa, Wi-Fi, and dual-radio nodes operating under AWGN, Rayleigh, and Rician fading environments. Extensive simulation results demonstrate that DAMCR consistently achieves a Packet Delivery Ratio (PDR) exceeding 95% across all evaluated scenarios, while maintaining end-to-end latency between 17 and 23 ms, even in the presence of controlled jamming attacks. These results confirm that the tight integration of chaos-based spectrum agility, cross-technology routing, and energy-aware cross-layer adaptation significantly improves communication reliability, latency stability, and resilience compared to conventional single-radio and static-routing protocols.

cs.NI↗

arXiv2025

Dynamic Hybrid Resource Utilisation and MCS-based Intelligent Layering

The coexistence of heterogeneous service classes in 5G Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communication (URLLC), and Massive Machine-Type Communication (mMTC) poses major challenges for meeting diverse Quality-of-Service (QoS) requirements under limited spectrum and power resources. Existing radio access network (RAN) slicing schemes typically optimise isolated layers or objectives, lacking physical-layer realism, slot-level adaptability, and interpretable per-slice performance metrics. This paper presents a joint optimisation framework that integrates Dynamic Hybrid Resource Utilisation with MCS-Based Intelligent Layering, formulated as a mixed-integer linear program (MILP) that jointly allocates bandwidth, power, and modulation and coding scheme (MCS) indices per slice. The model incorporates finite blocklength effects, channel misreporting, and correlated fading to ensure realistic operation. Two modes are implemented: a Baseline Mode that ensures resource-efficient QoS feasibility, and an Ideal-Chaser Mode that minimises deviation from ideal per-slice rates. Simulation results show that the proposed approach achieves energy efficiencies above $10^7$~kb/J in Baseline Mode and sub-millisecond latency with near-ideal throughput in Ideal-Chaser Mode, outperforming recent optimisation and learning-based methods in delay, fairness, and reliability. The framework provides a unified, interpretable, and computationally tractable solution for dynamic cross-layer resource management in 5G and beyond networks.

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arXiv2025

Adaptive Entanglement-Aware Routing for Satellite Quantum Networks under Orbital and Atmospheric Variability

The expansion of satellite-based quantum networks requires adaptive routing mechanisms that can sustain entanglement under dynamic orbital and atmospheric conditions. Conventional schemes, often tailored to static or idealised topologies, fail to capture the combined effects of orbital motion, fading, and trust variability in inter-satellite links. This work proposes an \textit{adaptive entanglement-aware routing framework} that jointly accounts for orbital geometry, atmospheric attenuation, and multi-parameter link evaluation. The routing metric integrates fidelity, trust, and key-rate weights to maintain connectivity and mitigate loss from turbulence and fading. Monte Carlo simulations across multiple orbital densities ($\rho = 10^{-6}$~km$^{-3}$) and environmental regimes, standard atmosphere, strong turbulence, and clear-sky LEO show up to a 275\% improvement in key generation rate and a 15\% increase in effective entanglement fidelity over existing adaptive methods. The framework achieves sub-linear path-length scaling with network size and remains robust for fading variances up to $\sigma_{\mathrm{fade}}=0.1$, demonstrating strong potential for future global quantum constellations.

quant-ph↗

arXiv2025

Hybrid MAC Protocol with Integrated Multi-Layered Security for Resource-Constrained UAV Swarm Communications

Flying Ad Hoc Networks (FANETs) present unique challenges due to high node mobility, dynamic topologies, and strict resource constraints. Existing routing protocols often optimize for a single metric, such as path length or energy, while neglecting the complex dependencies between network performance, security, and MAC layer efficiency. This paper introduces a novel hardware software co design framework for secure and adaptive UAV swarm communications, featuring an energy aware protocol stack. The architecture employs a multicast, clustered organization where routing decisions integrate dynamic trust scores, historical link quality, and internodal distance. A hybrid MAC protocol combines contention based and scheduled channel access for optimized throughput. Security is ensured through a zero trust model that fuses cryptographic authentication with a behavioral reputation system, alongside hardware accelerated AES GCM encryption. Comparative analysis in an NS 3 simulation environment demonstrates the framework's superiority in packet delivery ratio, latency, resilience, and overhead, providing a scalable foundation for high performance swarm operations.

cs.NI↗

arXiv2025

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols

This paper presents an enhanced Vehicle-to-Everything (V2X) communication system featuring adaptive Medium Access Control (MAC) using game theory. Our approach integrates dynamic transmission power control, dynamic beacon rates, contention window adaptation, and implicit acknowledgment mechanisms within a Manhattan-like grid-based mobility scenario. Simulations are conducted in a circular coverage area, incorporating refined signal propagation models and probabilistic vehicle mobility with boundary reflection. The results demonstrate effective beacon delivery with average delays under 0.35 s and packet loss rates less than 1% in high-density conditions specifically, with up to 80 vehicles operating within a 250 m radius. Key innovations include game theory-based environment-aware transmission parameter adaptation and a scalable design suited for interference-prone V2X deployments.

eess.SY↗

arXiv2025

Weather-Driven Priority Charging for Battery Storage Systems in Hybrid Renewable Energy Grids

The integration of renewable energy into the power grid is often hindered by its fragmented infrastructure, leading to inefficient utilization due to the variability of energy production and its reliance on weather conditions. Battery storage systems, while essential for stabilizing energy supply, face challenges like sub-optimal energy distribution, accelerating battery degradation, and reducing operational efficiency. This paper presents a novel solution to these challenges by developing a large-scale, interconnected renewable energy network that optimizes energy storage and distribution. The proposed system includes strategically placed battery storage facilities that stabilize energy production by compensating for fluctuations in renewable output. A priority charging algorithm, informed by real-time weather forecasting and load monitoring, ensures that the most suitable battery systems are charged under varying conditions. Within each storage facility, a secondary priority charging algorithm minimizes battery degradation by ranking batteries based on critical parameters such as state of health (SoH) and state of charge (SoC) and deciding which to charge. This comprehensive approach enhances the efficiency and longevity of battery storage systems, offering a more reliable and resilient renewable energy infrastructure.

eess.SY↗