Context-Aware Enhanced Weight-Based Clustering Algorithm for Mission-Critical Military Vanet Communication
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Resumen
In mission-critical military operations, Vehicular Ad Hoc Networks (VANETs) play a fundamental responsibility in enabling real-time communication among mobile military units. Ensuring seamless, protected, along with efficient statement in such exceedingly energetic environments presents a major challenge. This research article propositions a Context-Aware Enhanced Weight-Based Clustering Algorithm (CA-EWBCA) tailored for military VANET scenarios. The proposed algorithm incorporates contextual parameters such as vehicle velocity, direction, transmission range, hop count, and priority level of military units to dynamically elect and maintain robust cluster heads (CHs). Unlike conventional weight-based clustering algorithms that solely rely on static or semi-dynamic factors like node degree and residual energy, CA-EWBCA introduces a contextual awareness model that adapts in real time to the battlefield conditions. The algorithm also implements a secure cluster maintenance mechanism that prioritizes communication continuity during high-mobility transitions such as convoy splits, re-joining, or battlefield maneuvers. Simulation results using NS demonstrate a substantial improvement in concert metrics such as End-to-End Delay, Packet Delivery Ratio, Cluster Stability, furthermore Control Overhead compared to existing clustering protocols like WCA, EWC, and HEED. The enhanced context-aware mechanism ensures reliable communication while maintaining security through lightweight encryption and authentication models integrated with the clustering process. The proposed CA-EWBCA not only improves QoS in high-mobility VANETs but also supports real-time decision-making and situational awareness in military contexts. This work highlights the significance of context adaptation, dynamic weight balancing, and secures communication strategies in military VANET clustering, marking a step toward intelligent and resilient battlefield communication systems.
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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.