Title: A new mobile opportunity perception network strategy and reliability research in coal mine

Authors: Ping Ren; Jingzhao Li; Dayu Yang

Addresses: College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, 232001, China ' College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, China ' College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, China

Abstract: Aiming at the advantages of internet of things in coal mine application, in this paper, we propose a new method of mobile opportunity perception, which makes full use of underground mine mobile resources. Without adding extra sensing devices, the collaborative working mechanism of mobile nodes and fixed nodes is established. Accordingly, it builds environment opportunity perception and information transmission of the whole place in coal mine and achieves a comprehensive perception goal. By analysing the loss and redundancy perception probability between the mobile and fixed nodes, a novel sparse heterogeneous fusion network and its mixed node arrangement strategy and low-order error detection model between nodes are established. On this basis, to verify the superiority of strategy, the hardware design and experiments are carried out, which provides a new approach and idea for mining enterprises in sensing layer and transport layer application of internet of things.

Keywords: mobile sensing; opportunistic routing; heterogeneous fusion; low false alarm; lost probability.

DOI: 10.1504/IJES.2020.107015

International Journal of Embedded Systems, 2020 Vol.12 No.3, pp.393 - 400

Received: 15 Nov 2016
Accepted: 29 May 2017
Published online: 01 May 2020 *

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