缓存控制的群集网络协议

Priyank Sunhare , Manju K. Chattopadhyay
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引用次数: 0

摘要

当无线传感器网络、物联网和云计算等技术结合在一起时,现实世界的问题可以显著解决。无线传感器网络通过互联网向云服务器发送大量数据。一些应用需要分布在大面积上的大量传感器。有限的电池供电传感器向基站发送大量数据。为了节省能源和延长传感器寿命,传感器可以联网,而不是直接与基站通话。我们目前的研究工作提出了一种创新的缓存控制集群网络协议(CCCNP)。它是一种基于缓存监督的动态集群传感器网络技术。在CCCNP中,由于整个网络都处于缓存控制之下,因此在网络中建立的缓存数量及其位置起着至关重要的作用。因此,我们首先建立了缓存的适当数量及其位置的方程。然后缓存创建一个网络集群并支持数据传输。它稳定了集群形成过程,减少了传感器节点开销,从而延长了网络寿命。我们为两种不同类型的网络模拟了CCCNP、低能量自适应聚类层次结构(LEACH)、改进的LEACH(I-LEACH)和带副簇头的LEACH算法(LEACH-VH),并对它们进行了比较。CCCNP在两种配置中都优于其他算法。死节点率每轮下降三倍。对于这两种网络配置,即使是远离BS的节点的寿命也分别提高了3.51和2.87倍。平均吞吐量增加了350%,平均寿命增加了289%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cache controlled cluster networking protocol

When technologies such as Wireless Sensor Network, Internet of Things and Cloud Computing are coupled together, real-world issues can be remarkably resolved. Wireless Sensor Network sends enormous data to a cloud server via the internet. Some applications necessitate a huge number of sensors spread across a large area. Limited battery-powered sensors send lots of data to the Base Station. To save energy and extend sensor lifespan, sensors can be networked instead of talking directly with the Base Station. Our present research work proposes an innovative Cache-Controlled Cluster Networking Protocol (CCCNP). It is a cache-supervised dynamic cluster-based sensor networking technique. In CCCNP, as the complete network is under cache control, the number of caches established in the network and their location play a very crucial role. Therefore, we first formulate the equation for the appropriate number of caches and their location. Then the caches create a network cluster and support data transmission. It stabilizes cluster formation process and decreases sensor node overhead to increase network lifetime. We simulate the CCCNP, Low Energy Adaptive Clustering Hierarchy (LEACH), Improved LEACH (I-LEACH), and LEACH with Vice-cluster Head (LEACH-VH) algorithms for two different types of networks and compare them. CCCNP outperforms other algorithms both the configurations. The dead node rate decreased by three times for each round. Even the lifespan of nodes far from the BS improved by 3.51 and 2.87 times for both network configurations, respectively. The average throughput increased by 350%, and the average lifespan increased up to 289% of the rounds.

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