Q-NiGHT: Adding QoS to Data Centric Storage in Non-Uniform Sensor Networks

M. Albano, S. Chessa, Francesco Nidito, S. Pelagatti
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引用次数: 48

Abstract

Storage of sensed data in wireless sensor networks is essential when the sink node is unavailable due to failure and/or disconnections, but it can also provide efficient access to sensed data to multiple sink nodes. Recent approaches to data storage rely on Geographic Hash Tables for efficient data storage and retrieval. These approaches however do not support different QoS levels for different classes of data as the programmer has no control on the level of redundancy of data. They result in a great unbalance in the storage usage in each sensor, even when sensors are uniformly distributed. This may cause serious data losses, waste energy and shorten the overall lifetime of the sensornet. In this paper, we propose a novel protocol, Q- NiGHT, which (1) provides a direct control on the level of QoS in the data dependability, and (2) uses a strategy similar to the rejection method to build a hash function which scatters data approximately with the same distribution of sensors. The benefits of Q-NiGHT are assessed through a detailed simulation experiment, also discussed in the paper. Results show its good performance on different sensors distributions on terms of both protocol costs and load balance between sensors.
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Q-NiGHT:在非均匀传感器网络中为数据中心存储添加QoS
当汇聚节点由于故障和/或断开连接而不可用时,无线传感器网络中感测数据的存储是必不可少的,但它也可以为多个汇聚节点提供对感测数据的有效访问。最近的数据存储方法依赖于地理哈希表来实现有效的数据存储和检索。然而,这些方法不支持针对不同类型数据的不同QoS级别,因为程序员无法控制数据冗余的级别。即使在传感器均匀分布的情况下,它们也会导致每个传感器的存储使用极不平衡。这可能会导致严重的数据丢失,浪费能源和缩短传感器的整体寿命。在本文中,我们提出了一种新的协议Q- NiGHT,它(1)在数据可靠性方面提供了对QoS级别的直接控制,(2)使用类似于拒绝方法的策略来构建一个散列函数,该散列函数以近似相同的传感器分布来分散数据。通过详细的仿真实验对Q-NiGHT的效益进行了评估,并对其进行了讨论。结果表明,在不同的传感器分布下,该算法在协议开销和传感器间负载均衡方面都具有良好的性能。
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