4.5 Article

New algorithm of multi-strategy channel allocation for edge computing

出版社

ELSEVIER GMBH
DOI: 10.1016/j.aeue.2020.153372

关键词

Edge computing; Multi-hop; Wireless mesh network; Channel allocation; Multi-strategy

资金

  1. National Natural Science Foundation of China [61571328]
  2. Tianjin Key Natural Science Foundation [18JCZDJC96800]
  3. Major projects of science and technology in Tianjin [15ZXDSGX 00050]
  4. Training plan of Tianjin University Innovation Team [TD12-5016, TD13-5025]
  5. Major projects of science and technology for their services in Tianjin [16ZXFWGX00010, 17YFZC GX00360]
  6. Training plan of Tianjin 131 Innovation Talent Team [TD2015-23]

向作者/读者索取更多资源

Wireless mesh networks (WMNs) are a kind of wireless network technology that can transmit multi-hop information, and have been regarded as one of the key technologies for configuring wireless machines. In WMNs, wireless routers can provide multi-hop wireless connections between nodes in the network and access the Internet through gateway devices. Multicast is a communication technology that uses best effort to send information from a source node to multiple destinations. In this paper, we study the problems of channel interference and time slot multi-user collisions caused by radio during WMNs information transmission. Through innovative use of edge computing technology to construct a node data cache model and step-by-step calculation of node channel separation, a multi-strategy channel allocation algorithm for edge computing is proposed. The mechanism of this algorithm is to use edge computing technology to pre-store the data in the nodes in the multicast tree and calculate the channel separation between the nodes, and then select the transmission channel number of the node with the least interference to avoid mutual interference between node information transmissions. Through experimental tests and comparisons, the MSCA (Multi-Strategy Channel Allocation algorithm for edge computing) algorithm presented in this paper can minimize channel interference and overall network energy consumption while satisfying throughput and end-to-end delay. (C) 2020 Elsevier GmbH. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据