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Joint Optimization of Routing and Storage Node Deployment in Heterogeneous Wireless Sensor Networks Towards Reliable Data Storage

机译:异构无线传感器网络中路由和存储节点部署的联合优化,以实现可靠的数据存储

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The penetration of Wireless Sensor Networks (WSNs) in various applications poses a high demand on reliable data storage, especially considering sensor networks are usually deployed in harsh environment. In this paper, we introduce Heterogeneous Wireless Sensor Networks where robust storage nodes are deployed in sensor networks and data redundancy is utilized through coding techniques, in order to improve the reliability of data storage. Taking into account the cost of both data delivery and storage, we propose an algorithm to jointly optimize data routing and storage node deployment. This problem is a binary non-linear combinatorial optimization, and it is highly non-trivial to design efficient algorithms due to its NP-hardness. By levering the Markov approximation framework, we elaborately deign a Continuous Time Markov Chain (CTMC) based scheduling algorithm to drive the storage node deployment and the corresponding routing strategy. Extensive simulations are performed to verify the efficacy of our algorithm.
机译:无线传感器网络(WSN)在各种应用中的渗透对可靠的数据存储提出了很高的要求,尤其是考虑到传感器网络通常部署在恶劣的环境中。在本文中,我们介绍了异构无线传感器网络,其中在传感器网络中部署了健壮的存储节点,并通过编码技术利用了数据冗余,以提高数据存储的可靠性。考虑到数据传递和存储的成本,我们提出了一种算法来共同优化数据路由和存储节点部署。这个问题是二进制非线性组合优化,并且由于其NP硬度而设计高效的算法非常重要。通过利用马尔可夫近似框架,我们精心设计了基于连续时间马尔可夫链(CTMC)的调度算法,以驱动存储节点的部署和相应的路由策略。进行了广泛的仿真以验证我们算法的有效性。

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