基于免疫蚁群优化的无线传感器网络节点调度研究

Research on Wireless Sensor Networks Node Scheduling Based on QIACO

摘要:

提出一种基于免疫优化蚁群算法(QIACO)的无线传感器网络节点调度策略方法;针对传统的蚁群算法在寻优过程中存在的收敛速度慢、容易出现停滞现象等缺陷,借鉴免疫系统的自我调节机制,提出了一种新的疫苗选取策略及疫苗接种方法,设计了基于免疫优化的蚁群算法,达到提高算法的收敛速度和避免停滞现象的发生;通过对MESA算法、蚁群算法、量子遗传算法和QIACO算法在负载均衡性分析、能耗均衡性分析和网络寿命分析进行仿真验证,提出的算法在无线传感器网络节点调度策略中效果最好,能有效地提高网络寿命。

Abstract:

Present an quick immune optimization ant colony algorithm (QIABC) for wireless sensor network node scheduling strategy. The traditional ant colony algorithm has defects such as slow convergence speed, easy to appear stagnation phenomenon in the optimization process. Based on the self-adjustment mechanism of the immune system, this paper proposes a new vaccine selection strategy and method of vaccination. The immune optimization ant colony algorithm can improve the defects of the ant colony algorithm. Compared the proposed QIABC algorithm with MESA algorithm, ant colony algorithm and the quantum genetic algorithm in load balance, energy balance analysis and network life through the simulator. According to the simulation results, the proposed algorithm obtains the best effect in wireless sensor network node scheduling strategy, which can improve the network life effectively.