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针对集成RFID与WSNs网络中智能节点最佳位置的选择问题,采用改进遗传算法控制策略,在复杂的传播环境,交叉覆盖及智能节点间不可避免的干扰等影响因素下,寻找智能节点的最佳位置。所选择的最佳位置必须满足必要的约束条件,并能够优化一系列控制目标。仿真结果表明,改进遗传算法加快了寻找智能节点最优位置的速度,并能快速有效地收敛于最优解,从而在保证智能节点对标签的最大覆盖率的前提下使智能节点间的干扰最小。
Aiming at the problem of selecting the optimal location of intelligent nodes in integrated RFID and WSNs networks, an improved genetic algorithm control strategy is proposed to find the best choice of intelligent nodes under the complicated propagation environment, cross coverage and unavoidable interference among intelligent nodes position. The best location chosen must meet the necessary constraints and be able to optimize a range of control objectives. The simulation results show that the improved genetic algorithm accelerates the search for the optimal location of intelligent nodes and converges to the optimal solution quickly and effectively so as to minimize the interference among intelligent nodes under the premise of ensuring the maximum coverage of the smart nodes .