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首页> 外文期刊>Mathematical Problems in Engineering >An Immune Cooperative Particle Swarm Optimization Algorithm for Fault-Tolerant Routing Optimization in Heterogeneous Wireless Sensor Networks
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An Immune Cooperative Particle Swarm Optimization Algorithm for Fault-Tolerant Routing Optimization in Heterogeneous Wireless Sensor Networks

机译：异构无线传感器网络中容错路由的免疫协同粒子群优化算法

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摘要

The fault-tolerant routing problem is important consideration in the design of heterogeneous wireless sensor networks (H-WSNs) applications, and has recently been attracting growing research interests. In order to maintain k disjoint communication paths from source sensors to the macronodes, we present a hybrid routing scheme and model, in which multiple paths are calculated and maintained in advance, and alternate paths are created once the previous routing is broken. Then, we propose an immune cooperative particle swarm optimization algorithm (ICPSOA) in the model to provide the fast routing recovery and reconstruct the network topology for path failure in H-WSNs. In the ICPSOA, mutation direction of the particle is determined by multi-swarm evolution equation, and its diversity is improved by immune mechanism, which can enhance the capacity of global search and improve the converging rate of the algorithm. Then we validate this theoretical model with simulation results. The results indicate that the ICPSOA-based fault-tolerant routing protocol outperforms several other protocols due to its capability of fast routing recovery mechanism, reliable communications, and prolonging the lifetime of WSNs.
机译：容错路由问题是异构无线传感器网络（H-WSN）应用程序设计中的重要考虑因素，并且最近引起了越来越多的研究兴趣。为了维持从源传感器到宏节点的k条不相交的通信路径，我们提出了一种混合路由方案和模型，其中预先计算和维护了多条路径，一旦先前的路由被破坏，就会创建备用路径。然后，我们在模型中提出了一种免疫合作粒子群优化算法（ICPSOA），以提供快速的路由恢复并为H-WSNs中的路径故障重构网络拓扑。在ICPSOA中，粒子的突变方向由多群演化方程确定，并通过免疫机制改善其多样性，从而可以增强全局搜索的能力并提高算法的收敛速度。然后我们用仿真结果验证了该理论模型。结果表明，基于ICPSOA的容错路由协议由于具有快速的路由恢复机制，可靠的通信和延长WSN的寿命而胜过其他几个协议。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第2期|p.27-45|共19页
  • 作者

    Yifan Hu; Yongsheng Ding; Kuangrong Hao;

  • 作者单位

    College of Information Sciences and Technology, Donghua University, Shanghai 201620, China Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education,Donghua University, Shanghai 201620, China;

    College of Information Sciences and Technology, Donghua University, Shanghai 201620, China Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education,Donghua University, Shanghai 201620, China;

    College of Information Sciences and Technology, Donghua University, Shanghai 201620, China Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education,Donghua University, Shanghai 201620, China;

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