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从网络拓扑结构连通性与网络整体同步行为的内在关联出发,提出一种移动智能体网络的功率控制策略.首先确定满足网络拓扑结构连通的最小感知半径;其次以提高整个移动智能体网络的拓扑结构抗毁性为优化目标提出一种代价函数,在最大功率限制下的最大感知半径及保证连通的最小感知半径的范围内采用粒子群优化算法(PSO)予以优化,寻求同时满足网络连通性与抗毁性需求的个体感知半径;随后基于该控制策略,以个体感知邻域内运动方向偏差最大的2个邻居个体运动方向的中值作为个体下一时刻的运动方向,研究了移动智能体网络的快速同步问题.仿真结果表明:通过调节个体感知半径,移动智能体网络的功率控制和抗毁性能得到了提高.
Starting from the inherent relationship between the network topology connectivity and the overall network synchronization behavior, a power control strategy for mobile agent networks is proposed. First, the minimum perceived radius that satisfies the network topology connectivity is determined. Secondly, to improve the topology of the entire mobile agent network, Structural invulnerability proposes a cost function for the optimization objective, which is optimized by Particle Swarm Optimization (PSO) within the range of the maximum perceptual radius under the maximum power limit and the minimum perceived radius of guaranteed connectivity. The algorithm solves the problem of network connectivity and Then based on the control strategy, taking the median of the movement direction of two neighboring individuals with the largest deviation of the movement direction in the neighborhood as the direction of the movement of the individual at the next moment, the author studies the mobile agent network Fast synchronization problem.The simulation results show that by adjusting the perceived radius of individual, the power control and survivability of the mobile agent network are improved.