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Sensors 2017, 17(5), 1092; doi:10.3390/s17051092

A Formal Approach to the Selection by Minimum Error and Pattern Method for Sensor Data Loss Reduction in Unstable Wireless Sensor Network Communications

Department of Computer Science and Engineering, Gangneung-Wonju National University, 150, Namwonro, Heungeop-myeon, Wonju-si, Gangwon-do 26403, Korea
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Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 23 February 2017 / Revised: 29 April 2017 / Accepted: 6 May 2017 / Published: 12 May 2017
(This article belongs to the Section Sensor Networks)
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Abstract

There are wireless networks in which typically communications are unsafe. Most terrestrial wireless sensor networks belong to this category of networks. Another example of an unsafe communication network is an underwater acoustic sensor network (UWASN). In UWASNs in particular, communication failures occur frequently and the failure durations can range from seconds up to a few hours, days, or even weeks. These communication failures can cause data losses significant enough to seriously damage human life or property, depending on their application areas. In this paper, we propose a framework to reduce sensor data loss during communication failures and we present a formal approach to the Selection by Minimum Error and Pattern (SMEP) method that plays the most important role for the reduction in sensor data loss under the proposed framework. The SMEP method is compared with other methods to validate its effectiveness through experiments using real-field sensor data sets. Moreover, based on our experimental results and performance comparisons, the SMEP method has been validated to be better than others in terms of the average sensor data value error rate caused by sensor data loss. View Full-Text
Keywords: sensor data loss reduction; wireless sensor networks; underwater acoustic sensor networks; unstable communications; SMEP method; average sensor value error rate sensor data loss reduction; wireless sensor networks; underwater acoustic sensor networks; unstable communications; SMEP method; average sensor value error rate
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Kim, C.; Shin, D. A Formal Approach to the Selection by Minimum Error and Pattern Method for Sensor Data Loss Reduction in Unstable Wireless Sensor Network Communications. Sensors 2017, 17, 1092.

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