A task-efficient sink node based on embedded multi-core SoC for Internet of Things

Tie Qiu*, Aoyang Zhao, Ruixin Ma, Victor Chang, Fangbing Liu, Zhangjie Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

With the increase of collected information, the computing performance of single-core sink node for Internet of Things (IoTs) cannot satisfy with the demand of large data processing any more. Therefore, the sink node which based on embedded multi-core SoC for IoTs and maximizing its computing performance has brought into focus in recent years. In this paper, we design a multi-core Task-Efficient Sink Node (TESN) based on heterogeneous architecture and the Weighted-Least Connection (WLC) task schedule strategy has been proposed to improve its efficiency. There are two types of cores in the sink node, master core and slave cores. The master core deals with tasks allocation and the seven slave cores deal with data processing. All of the cores are communicating with each other through mailbox. By considering each core's real-time processing information and computing performance, the proposed WLC can balance each core's load and reduce network congestion. The XilinxV5 platform is used to evaluate the performance of WLC and Round-Robin (RR) algorithms for multi-core sink node. The experiment results show that the WLC strategy improves the processing speed obviously, achieves load balance and avoids large scale congestion of sink node in the sensor networks of IoTs.

Original languageEnglish
Pages (from-to)656-666
Number of pages11
JournalFuture Generation Computer Systems
Volume82
DOIs
Publication statusPublished - May 2018

Keywords

  • Internet of Things
  • Load balance
  • Multi-core
  • Sink node
  • Task allocation strategy

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