Title: A robust and reliable routing based on multi-hop information in industrial wireless sensor networks

Authors: Dariush Zolfaghari; Hassan Taheri; A. Hossein Rezaie; Mohsen Rezaei

Addresses: Department of Electrical and Electronic Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran ' Department of Electrical and Electronic Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran ' Department of Electrical and Electronic Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran ' Department of Electrical and Electronic Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran

Abstract: Due to considerable noise in the industrial environments, wireless packet transmission is usually unreliable. Designing an efficient routing algorithm for these environments poses significant challenges. Current routing algorithms consider the quality of service parameters such as node energies and delay, but packet losses need a novel strategy to compensate for the decline in signal to noise ratio (SNR) in noisy industrial environments. The proposed routing algorithm is based on multi-hop neighbour information. The multi-hop neighbour nodes provide vital information for the source node, enabling it to select the proper relay node. In noisy channel conditions the transmitted packets should meet the deadline and be delivered to the sink node on time. Performance evaluation via simulations indicates significant improvement in reliability, lifetime of network, and real-time performance. The proposed algorithm is more robust than previous methods. The most beneficial features of the proposed algorithm are its uniform distribution of energy among nodes and deliverance of deadline packets with the lowest losses.

Keywords: IWSN; industrial WSNs; wireless sensor networks; real-time routing; routing reliability; multi-hop neighbour nodes; signal to noise ratio; SNR; simulation; network lifetime.

DOI: 10.1504/IJAHUC.2015.069491

International Journal of Ad Hoc and Ubiquitous Computing, 2015 Vol.19 No.1/2, pp.29 - 37

Received: 09 Dec 2013
Accepted: 24 Mar 2014

Published online: 19 May 2015 *

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