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A Survivability Clustering Algorithm for Ad Hoc Network Based on a Small-World Model

机译:基于小世界模型的Ad Hoc网络生存能力聚类算法

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In Ad hoc network, nodes have the characteristics of limited energy, self-organizing and multi-hop. For the purpose of improving the survivability of Ad hoc network effectively, this paper proposes a new algorithm named EMDWCA (Based on Energy, Mobility and Degrees of the nodes on-demand Weighted Clustering Algorithm). The LEACH algorithm is used to cluster the Ad hoc network in the first election, but the EMDWCA is used in the second election. By considering the appearances, disappearances, and communication link failures of the mobile nodes, this algorithm constructs the topology of Ad hoc network based on a small-world network model. To make sure that nodes can still communicate in the following election cycles, it improves the stability of the network topology and overall network invulnerability. The network is analyzed and simulation experiments are performed in order to compare the performance of this new clustering algorithm with the weighted clustering algorithm (WCA) in terms of the correctness, effectiveness, and invulnerability of the networks. The final result proves that the proposed algorithm provides better performance than the original WCA algorithm.
机译:在Ad hoc网络中,节点具有能量有限,自组织和多跳的特点。为了有效提高Ad hoc网络的生存能力,本文提出了一种新的名为EMDWCA的算法(基于节点的能量,移动性和程度,按需加权聚类算法)。 LEACH算法用于在第一次选择中对Ad hoc网络进行聚类,而EMDWCA在第二次选择中使用。通过考虑移动节点的出现,消失和通信链路故障,该算法基于小世界网络模型构造了Ad hoc网络的拓扑。为了确保节点在接下来的选举周期中仍然可以通信,它提高了网络拓扑的稳定性和整个网络的无害性。分析网络并进行仿真实验,以便从网络的正确性,有效性和无害性方面比较此新的聚类算法和加权聚类算法(WCA)的性能。最终结果证明,所提出的算法比原始的WCA算法具有更好的性能。

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