首页> 外文期刊>Journal of ambient intelligence and humanized computing >History and buffer rule based (forward chaining/data driven) intelligent system for storage level big data congestion handling in smart opportunistic network
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History and buffer rule based (forward chaining/data driven) intelligent system for storage level big data congestion handling in smart opportunistic network

机译:基于历史和缓冲区规则(前向链接/数据驱动)的智能系统,用于智能机会网络中的存储级大数据拥塞处理

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摘要

Delay tolerant networks (DTN's) is the most growing application of wireless multi-hop networking under the umbrella of research done so far in sensor networks. Numerous challenges have to be faced by such networks; because of disconnection in terms of intermittent community, long delays etc in network due to drastic mobility. An intermediate node therefore interested to take custody of the transmission till subsequent notable appropriate is located toward destination. This study specializes on this key issue how selection as best custodian node in terms of storage capacity as mobile devices have limited storage capacity for the transmission to raise delivery of the packets with less drop rate. In this research a history and buffer based totally intelligent approach based expert gadgets has been added and validated and compared with existing MAXPROP protocol. Simulation outcomes shows proposed technique outperforms MAXPROP in overall over node, network and buffer level.
机译:延迟容忍网络(DTN)是迄今为止在传感器网络中进行的研究的无线多跳网络发展最快的应用。这种网络必须面对许多挑战;由于间歇性社区的中断,网络的剧烈移动等导致长时间的延迟。因此,有兴趣保管传输直到随后明显合适的中间节点位于目的地。这项研究专门针对这个关键问题,即如何选择存储容量最佳的保管人节点,因为移动设备的传输存储容量有限,从而以较低的丢包率提高了数据包的交付量。在这项研究中,已添加并验证了基于历史记录和基于缓冲区的完全智能方法的专家小工具,并将其与现有的MAXPROP协议进行了比较。仿真结果表明,在整个节点,网络和缓冲区级别上,所提出的技术均优于MAXPROP。

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