# A Comprehensive Evaluation Algorithm of Multi-Point Relay Based on Link-State Awareness for UANETs
## 2 Related Works  
### Research Status  
5G communication is the latest generation of cellular mobile communication technology, and its greatest value lies in driving the digital transformation of various industries, enabling a shift from personal mobile applications to industry applications [14]. At present, some research work on combining 5G communication and wireless communication networks is as follows. Reference [15] explores Vehicle Ad hoc Networks (VANETs) within 5G systems, presenting a dynamic vehicle resource allocation algorithm that considers the dynamic mobility characteristics of vehicular nodes. This approach enhances the practicality and scalability of the network while ensuring a rational distribution of network resources. Reference [16] delves into cooperative platooning scenarios within VANETs integrated with 5G communication. It proposes a power control algorithm based on distributed dynamic programming, taking into account the mobility of vehicle nodes, to achieve fair resource allocation within base stations and each platoon. Considering the impact of node mobility. Reference [17] investigates session continuity in 5G communication systems under scenarios involving dense and mobile networks. The findings highlight the significant effect of communication session continuity, attributed to link interruptions caused by node mobility and frequent blocking due to data retransmissions. The advancement of 5G technology provides high-speed, low-latency, and reliable communication support for drone networks. In recent years, some researchers have considered improving the MPR mechanism from various aspects when studying the OLSR protocol, including selecting appropriate metric parameters, altering selection strategies, and the impact of link variations. The current research status is as follows. References [18; 19; 20] explore the impact of node mobility on the MPR mechanism and propose novel metric parameters for optimization. Reference [18] introduces the LD-OLSR protocol, leveraging link duration and three-dimensional node situational data to forecast link durations. By incorporating node forwarding willingness, it introduces an MPR factor, effectively enhancing packet delivery rates and reducing latency. Reference [19]presents an efficient MPR selection algorithm considering node mobility's effect on network topology. It introduces the concept of \"effective coverage area\", estimating future node positions using historical data to expedite network topology establishment and reduce TC message redundancy. Reference [20] designs the mobility and queue-length-aware MP-OLSR protocol based on multi-criteria decision-making metrics, considering various influencing factors. References [21; 22; 23] enhance the MPR mechanism by altering the selection strategy. Reference [21] proposes a reverse-thinking MPR selection algorithm, combining iterative and set operations to eliminate redundant nodes effectively, enhancing data transmission success rates. Reference [22] introduces a novel MPR node selection method employing Self-Organizing Map (SOM) artificial neural networks to distinguish strong and weak MPR nodes and select reliable retransmission-capable nodes, improving throughput, packet delivery rates, and network security. Reference [23] presents the Dynamic Updating Ant Colony Optimization (DUACO) algorithm incorporating state information and dynamic update mechanisms, mitigating MPR set redundancy and enhancing network performance. References [24; 25; 26] enhance the MPR mechanism considering link variations. Reference [24] proposes a link stability-based MPR selection algorithm, prioritizing nodes with stable link quality to extend the MPR set's effective time and reduce topology change impacts on data transmission. Reference [25] introduces the Multi-dimensional Perception and Energy-Aware OLSR (MPEAOLSR) routing protocol, addressing network challenges like frequent topology changes and congestion by considering link conditions and energy awareness.