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Sensors and Materials,
Volume 29, Number 6(1) (2017)
Copyright(C) MYU K.K. All Rights Reserved.
Published: June 7, 2017
Finite Geometry Permutation Decoding for Wireless Sensor Network Applications [PDF]
Jyun-Jie Wang and Chi-Yuan Lin
(Received September 27, 2016; Accepted December 5, 2016)
Keywords: Euclidean geometry code, energy efficiency, sensor network, network lifetime, majority logic decoding, permutation
In this study, we propose a novel coding method, called geometry permutation decoding (GPD), for square sensor topologies. The GPD algorithm provides a two-dimensional geometry construction and decodes information sequences based on this construction. The two-dimensional construction for square wireless sensor networks (WSNs) is suitable for employing channel coding, especially product codes and finite geometry codes, and for detecting multiple error patterns. A majority logic decoding (MLD) is a less correcting efficient but simpler-to-implement decoding method. To improve the drawback of the less correcting capacity, the GPD algorithm not only gives better bit error rates at low decoding complexity but also provides a new solution suitable for decoding in two-dimensional WSNs. In particular, this decoding work in the two-dimensional WSNs is achieved over the bit level without a packet level so that the overhead in the network layer can be reduced.
Corresponding author: Chi-Yuan Lin
Cite this article
Jyun-Jie Wang and Chi-Yuan Lin, Finite Geometry Permutation Decoding for Wireless Sensor Network Applications, Sens. Mater., Vol. 29, No. 6, 2017, p. 645-657.
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