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Dynamic Cooperative Clustering Based Power Assignment: Network Capacity and Lifetime Efficient Topology Control in Cooperative Ad Hoc Networks

机译:基于动态协作聚类的功率分配:合作临时网络中的网络容量和寿命高效拓扑控制

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Cooperative communication (CC) is used in topology control as it can reduce the transmission power and expand the transmission range. However, all previous research on topology control under the CC model focused on maintaining network connectivity and minimizing the total energy consumption, which would lead to low network capacity, transmission interruption, or even network paralysis. Meanwhile, without considering the balance of energy consumption in the network, it would reduce the network lifetime and greatly affect the network performance. This paper tries to solve the above problems existing in the research on topology control under the CC model by proposing a power assignment (DCCPA) algorithm based on dynamic cooperative clustering in cooperative ad hoc networks. The new algorithm clusters the network to maximize network capacity and makes the clusters communicate with each other by CC. To reduce the number of redundant links between clusters, we design a static clustering method by using Kruskal algorithm. To maximize the network lifetime, we also propose a cluster head rotating method which can reach a good tradeoff between residual energy and distance for the cluster head reselection. Experimental results show that DCCPA can improve 80% network capacity with Cooperative Bridges algorithm; meanwhile, it can improve 20% network lifetime.
机译:合作通信(CC)用于拓扑控制,因为它可以降低传输功率并扩展传输范围。然而,以前的所有关于CC模型的拓扑控制研究专注于维持网络连接并最大限度地减少总能耗,这将导致网络容量低,传输中断甚至网络瘫痪。同时,在不考虑网络中的能耗平衡,它将减少网络寿命并大大影响网络性能。本文试图通过提出基于合作社网络网络的动态协作聚类的功率分配(DCCPA)算法来解决CC模型下存在于CC模型下的拓扑控制研究中存在的上述问题。新算法将网络群化为最大化网络容量,并使群集通过CC互相通信。为了减少群集之间的冗余链路数量,我们使用kruskal算法设计静态聚类方法。为了最大限度地提高网络寿命,我们还提出了一种簇头旋转方法,可以达到群体头重选的剩余能量和距离之间的良好权衡。实验结果表明,DCCPA可以通过协作桥梁算法提高80%的网络容量;同时,它可以提高20%的网络寿命。

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