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Different network coding techniques for multihop Machine-to-Machine (M2M) Communication in next generation smart environment

机译:下一代智能环境中用于多跳机器对机器(M2M)通信的不同网络编码技术

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A typical intelligent factory, a smart home or a smart city consists of several nodes or machines. In a typical Machine to Machine Communication mode (M2M), each machine senses some information (pressure, temperature, presence of person, etc.) and then communicates this information to other machines. This communication could be unicast or multicast depending on the application. Further, the destination node of the M2M communication is many-a-times not in the direct communication range. In the presence of tens and hundreds of machines forming a network, it is essential to have an efficient communication mechanism for multihop multicast transmission between different machines. This paper proposes a network coding (NC) based multihop multicast communication for different topologies - butterfly, flattened butterfly, hypercube and folded-clos model. It is observed that random linear network coding (RLNC) technique outperforms best routing protocol for different topologies, by requiring less time for data transmission, reducing the time required by upto 50%, depending on the model. Further, in order to improve the performance of network coding for M2M in a disconnected network; an integrated network coding and routing approach is proposed and evaluated. It is observed that such an integrated mechanism requires upto 25% less time than pure routing and upto 10% less time than required by RLNC.
机译:典型的智能工厂,智能家居或智能城市由多个节点或机器组成。在典型的机器对机器通信模式(M2M)中,每台机器都感测到一些信息(压力,温度,人身等),然后将该信息传达给其他机器。取决于应用,此通信可以是单播或多播。另外,M2M通信的目的地节点不在直接通信范围内很多次。在有成百上千的机器组成一个网络的情况下,必须有一种有效的通信机制来在不同机器之间进行多跳多播传输。本文针对不同的拓扑(蝶形,扁平蝶形,超立方体和折叠闭合模型)提出了一种基于网络编码(NC)的多跳多播通信。可以看出,随机线性网络编码(RLNC)技术通过减少数据传输时间,从而将所需时间减少了50%(取决于模型),从而优于针对不同拓扑的最佳路由协议。进一步地,为了提高断开网络中M2M的网络编码性能;提出并评估了一种集成的网络编码和路由方法。可以看出,这种集成机制比纯路由所需的时间节省多达25%,比RLNC所需的时间节省多达10%。

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