With the advancement of technology, China is developing rapidly in the construction of emergency communication systems. Currently, emergency communication networks have an urgent demand for multimedia services and higher requirements for network bandwidth. When there are multiple different services in the network, traditional universal routing protocols are no longer applicable and cannot simultaneously meet the transmission requirements of different business flows. There is a common problem with the existing encoding aware routing in the power emergency communication MESH network. In order to improve network performance, a large amount of data flow is concentrated on certain nodes to create more encoding opportunities. When the data flow increases to a certain extent, these nodes will cause local congestion or even paralysis due to heavy load. A new routing metric has been proposed, and based on this metric, a coding aware load balancing routing strategy has been proposed. This routing strategy not only utilizes network coding to save network resources and improve network throughput, but also considers the load situation of nodes. It selects nodes with relatively light load as the next hop node to forward, achieving a balance between network coding and node load balancing. The simulation results show that in scenarios with different data transmission rates, this routing strategy can effectively alleviate network congestion, with higher network throughput and lower end-to-end latency.
Primary Synchronization Signal (PSS) timing synchronization is the key step of cell search in power wireless private network system. Aiming at the problem of high computational complexity of traditional algorithm, an improved PSS timing synchronization algorithm is proposed in this paper. The algorithm utilizes the central symmetric property of PSS to reduce cross-correlation complexity, uses a dynamic threshold value to determine the success of the coarse synchronization detection, then the accurate timing synchronization point, and the cell group number are obtained by the secondary fine synchronization. Simulation results show that the improved algorithm achieves higher detection accuracy than the traditional algorithm under low Signal-to-Noise Ratio (SNR), what’s more, its complexity is only about 48% of the traditional algorithm.
In response to the requirements of power emergency communication and the shortage of existing emergencycommunication system, an emergency communication solution with the core of "ultra-small portable satellite station, wireless broadband Mesh ad hoc network equipment, multimedia dispatching system, individual equipment" is proposedto establish a power emergency integrated communication solution, which has the ability of “three places linkage, integrated coverage, rapid response, flexibility and robustness”. The emergency communication systemcan be usedinvarious application scenarios, and has been tested and verified in terms of function, performance and reliabilityinmountainous and underground environments without public network, and has successfully carried out peak summer drills and emergency rescue and disaster relief many times at the front line.
In the Internet of Things (IoT) environment, embedded IoT devices have limited computing and storage resources. Their data lacks encryption protection. To solve this problem, this paper proposes a lightweight encryption algorithm based on SM4. First, this paper analyzed the encryption and decryption principle of SM4 algorithm. Then the S-box used in the encryption and decryption process was extended from high-order domain to low-order domain. The S-box component is constructed by a few logic gates to realize the lightness of the algorithm. Finally, the optimized SM4 module was embedded in the 5G communication terminal for testing. The results show that the lightweight encryption algorithm for IoT device can adapt to the data encryption of resource-constrained devices well. It is helpful to avoid the data leakage.
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