AIS-Based Routing Mechanism in the Industrial Cognitive Wireless Network
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    Abstract:

    The industrial Internet has become a representative technology in the fourth industrial revolution. According to the demands of data transmission service in industrial network, such as stable topology and traffic flow changes regularly, an artificial immune strategy-based routing mechanism in industrial cognitive wireless network is proposed to realize the reliable routing of industrial network, which includes the static routing algorithm in intra-domain based on link quality and the dynamic routing algorithm in inter-domain based on multipath. A static routing algorithm in intra-domain based on link quality is proposed, which combines the hardware and software to monitor the network link and calculates the link packet loss rate according to the moving window index weighted average method. A dynamic routing algorithm is proposed in inter-domain based on multipath. According to the model distance of the node to predict the traffic to prevent nodes from losing packet caused by excessive traffic. The simulation results from the OMNET++ simulation platform show that compared with the pair-wise directional geographical routing algorithm, the proposed routing mechanism reduces the packet loss rate and network overhead respectively in response to the burst traffic. Compared with the graph routing algorithm, the packet loss rate is 4 times lower than that in the case of link failure.

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刘岩,王兴伟,李婕,黄敏.基于人工免疫的工业认知无线网络路由机制.软件学报,2017,28(s2):19-29

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History
  • Received:June 30,2017
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  • Online: January 05,2018
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