Advances in Energy-Efficient and Real-Time Communication Networks

The field of communication networks is moving towards more energy-efficient and real-time solutions. Researchers are exploring new paradigms such as semantic communication, which conveys task-relevant meaning rather than raw data, to enable real-time perception, decision-making, and collaboration. Energy harvesting and optimization techniques are also being developed to improve the efficiency of wireless sensor networks and Internet of Things (IoT) systems. Furthermore, there is a growing interest in closed-loop security agents that can integrate exploit confirmation, remediation, and validation into a single loop. Noteworthy papers include:

  • Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks, which proposes a heuristic strategy to find near-optimal solutions for scheduling Target Wake Time Service Periods.
  • Semantic-Driven AI Agent Communications: Challenges and Solutions, which develops three enabling techniques for semantic-driven AI agent communication frameworks.
  • SoK: Measuring What Matters for Closed-Loop Security Agents, which introduces a framework for evaluating closed-loop autonomous security performance.

Sources

Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks

Semantic-Driven AI Agent Communications: Challenges and Solutions

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks

Optimizing Version AoI in Energy-Harvesting IoT: Model-Based and Learning-Based Approaches

SoK: Measuring What Matters for Closed-Loop Security Agents

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