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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:基于历史和缓冲规则(前进链接/数据驱动)智能系统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:延迟宽容网络(DTN)是在远程传感器网络的研究中,在研究中的伞下,无线多跳组网中最不断增长的应用。这种网络必须面临众多挑战;由于由于剧烈移动性,在网络中的间歇社区,长延迟等方面断开连接。因此,中间节点感兴趣的是对传输的监护,直到随后的标记适当地朝向目的地。本研究专门从事此关键问题如何在存储容量方面选择作为最佳保管节点,因为移动设备具有有限的存储容量,以便以较少的跌落率升高数据包的传送。在本研究中,添加并验证了基于历史和缓冲的基于智能方法的专家小工具,并与现有的MaxProp协议进行了比较。仿真结果显示提出的技术在节点,网络和缓冲级别总体上占MAXPROP。

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