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An approach of distributed joint optimization for cluster-based wireless sensor networks

机译：基于集群的无线传感器网络的分布式联合优化方法

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摘要

Wireless sensor networks (WSNs) are energyconstrained, so energy saving is one of the most important issues in typical applications. The clustered WSN topology is considered in this paper. To achieve the balance of energy consumption and utility of network resources, we explicitly model and factor the effect of power and rate. A novel joint optimization model is proposed with the protection for cluster head. By the mean of a choice of two appropriate sub-utility functions, the distributed iterative algorithm is obtained. The convergence of the proposed iterative algorithm is proved analytically. We consider general dual decomposition method to realize variable separation and distributed computation, which is practical in large-scale sensor networks. Numerical results show that the proposed joint optimal algorithm converges to the optimal power allocation and rate transmission, and validate the performance in terms of prolonging of network lifetime and improvement of throughput.
机译：无线传感器网络（WSN）受能源限制，因此节能是典型应用中最重要的问题之一。本文考虑了集群式WSN拓扑。为了实现能耗与网络资源利用率之间的平衡，我们明确地建模并考虑了功率和速率的影响。提出了一种基于簇头保护的联合优化模型。通过选择两个适当的子效用函数，可以获得分布式迭代算法。通过分析证明了该迭代算法的收敛性。我们考虑采用一般的双重分解方法来实现变量分离和分布式计算，这在大规模传感器网络中很实用。数值结果表明，所提出的联合最优算法收敛于最优功率分配和速率传输，并在延长网络寿命和提高吞吐量方面验证了性能。

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