The field of communication systems is witnessing a significant shift towards low-latency and energy-efficient solutions. Researchers are exploring novel approaches to minimize delay and power consumption in various applications, including cognitive radio networks, symbiotic radio, and internet of things (IoT) devices. Notably, the development of new algorithms and protocols is enabling faster and more reliable data transmission, while also reducing energy consumption. For instance, the use of tree embedding-based overlay networks and wake-up radios is showing promising results in achieving low-latency and ultra-low power consumption. Furthermore, the integration of hybrid active-passive communications and deterministic scheduling is improving the performance of Wi-Fi networks. Overall, these advancements are paving the way for widespread adoption of low-latency and energy-efficient communication systems in various industries. Noteworthy papers include: Fast Multichannel Topology Discovery in Cognitive Radio Networks, which proposes a novel pseudo-random sweep algorithm to minimize correlation between consecutive unsuccessful rendezvous attempts. Revolutionizing Symbiotic Radio: Exploiting Tradeoffs in Hybrid Active-Passive Communications, which introduces a hybrid active-passive communication paradigm to enhance transmission rates in symbiotic radio. WakeLoc: An Ultra-Low Power, Accurate and Scalable On-Demand RTLS using Wake-Up Radios, which presents an on-demand real-time locating system based on ultra-wideband wake-up radios, achieving low-latency and ultra-low power consumption. Deterministic Scheduling over Wi-Fi 6 using Target Wake Time: An Experimental Approach, which proposes a deterministic scheduling approach using Target Wake Time to improve Wi-Fi performance.