# Optimizing Routing Protocol Design for Long-Range Distributed Multi-Hop Networks
## 6 Simulation Verification
### Discussion  
The simulation results presented above serve as conceptual validation, laying a solid foundation for the application of the described LoRa distributed routing protocol in real-world scenarios. This paper focuses on simulation analysis specifically for indoor environments such as large buildings, verifying the performance of the improved algorithm through simulations. In practical applications, the LB-OLSR protocol can be effectively integrated into existing Internet of Things (IoT) deployments. To achieve this, it is essential to ensure that the hardware devices used can support the functionalities of the protocol. These devices should possess good signal strength and low power consumption characteristics. Additionally, environmental factors may pose challenges to signal transmission in real deployments. Firstly, physical obstacles can significantly impact the propagation of LoRa signals; the height and density of buildings and trees can cause signal attenuation when penetrating obstacles, potentially leading to data loss or delays. Secondly, climatic conditions,  
Figure 16: Average service delay in mixed scenario. Figure 15: Average node load duration in mixed scenario. such as rainfall or temperature fluctuations, may affect the speed and quality of signal propagation. Electromagnetic interference is also a major influencing factor; in urban or industrial environments, other wireless devices may generate electromagnetic interference that affects the quality of LoRa signals. Furthermore, in high-density network environments, simultaneous data transmission from multiple nodes may lead to channel congestion, increasing the collision rate of data packets and thereby impacting transmission efficiency. The LB-OLSR protocol enhances the adaptability and robustness of the network through load-balancing strategies, but the influence of environmental factors must still be considered in practical applications. To effectively integrate the LoRa distributed network load-balancing routing protocol into existing Internet of Things (IoT) deployments, a series of steps must be undertaken. The first step involves a thorough demand analysis, which includes assessing the current LoRa network architecture, determining the number of devices, data traffic, and coverage area, and identifying bottlenecks and load-balancing requirements within the network. Subsequently, the protocol's scalability, fault tolerance, and support for low-power devices should be considered. Following this, a well-structured LoRa network topology must be designed to ensure the optimal distribution of gateways and nodes, thereby enhancing signal coverage and data transmission. It is also essential to establish data flow directions and routing strategies to achieve effective load balancing. In terms of hardware selection, it is necessary to choose hardware devices that support LoRa technology, ensuring they possess adequate processing capabilities and communication ranges. The use of edge computing devices may also be considered to reduce latency and enhance data processing capabilities. Regarding software configuration, network management software can be employed to monitor traffic and performance, allowing for timely adjustments to load-balancing strategies. In summary, the effective integration of this protocol into existing IoT deployments necessitates a comprehensive evaluation of the current network architecture, the design of a rational network topology, and the selection of high-performance gateways and node devices that support LoRa technology. Additionally, appropriate software must be configured to monitor traffic and performance, followed by small-scale testing and optimization to ensure stability under high-load conditions. Ultimately, through regular maintenance and updates to the devices, the protocol can be effectively integrated into the existing IoT deployment, thereby enhancing the overall efficiency and reliability of the network.