IEEE Transactions on Vehicular Technology
The communication network in disaster areas (CNDA) can disseminate the key disaster information in time and provide basic information support for decision-making and rescuing. Therefore, it is of great significance to study the information dissemination mechanism of CNDA. However, a CNDA is vulnerable to interference, which affects information dissemination and rescuing. To solve this problem, this paper established a multi-layer information dissemination model of CNDA (MMND) which models the CNDA from the perspective of degree distribution of nodes. The information dissemination process and equilibrium state in CNDA is analyzed by an improved dynamic dissemination method. Then, the effects of the node density, node communication range and other parameters on the equilibrium state are clearly formulated. In addition, an interference optimization algorithm for MMND is proposed, which uses the convex optimization method to minimize the network deployment cost. With this algorithm, the optimal node density and communication range are obtained to alleviate the network interference. Simulation results show that the proportion of each state node in equilibrium state are 0.28, 0.38 and 0.34, respectively, which is consistent with the theoretical analysis. And it proves that the MMND can describe information dissemination process of the CNDA. When the dissemination thresholds are 0.1, 0.3 and 0.5, respectively, the optimal node density and communication range gradually decreases with the interference coefficient, and the deployment cost also gradually decreases, indicating that the interference of the CNDA has a significant impact on the information dissemination.
Analytical models, Antennas, Autonomous aerial vehicles, Communication network in disaster areas, Costs, dissemination model, interference, Interference, multi-layer network, Optimization, Vehicle dynamics
Y. Zhang, Y. Hong, M. Guizani, S. Wu, P. Zhang and R. Liu, "A Multi-Layer Information Dissemination Model and Interference Optimization Strategy for Communication Networks in Disaster Areas," in IEEE Transactions on Vehicular Technology, vol. 73, no. 1, pp. 1239-1252, Jan. 2024, doi: 10.1109/TVT.2023.3304707.