Kim Changhwa, Shin DongHyun
Department of Computer Science and Engineering, Gangneung-Wonju National University, 150, Namwonro, Heungeop-myeon, Wonju-si, Gangwon-do 26403, Korea.
Sensors (Basel). 2017 May 12;17(5):1092. doi: 10.3390/s17051092.
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.
存在一些无线网络，其中的通信通常不安全。大多数地面无线传感器网络就属于这类网络。不安全通信网络的另一个例子是水下声学传感器网络（UWASN）。特别是在UWASN中，通信故障频繁发生，故障持续时间可从几秒到几小时、几天甚至几周不等。这些通信故障可能导致数据丢失，其严重程度足以根据应用领域严重损害人类生命或财产。在本文中，我们提出了一个框架来减少通信故障期间的传感器数据丢失，并提出了一种正式的方法——最小误差和模式选择（SMEP）方法，该方法在所提出的框架下对于减少传感器数据丢失起着最重要的作用。通过使用实际现场传感器数据集进行实验，将SMEP方法与其他方法进行比较以验证其有效性。此外，基于我们的实验结果和性能比较，SMEP方法在由传感器数据丢失引起的平均传感器数据值错误率方面已被验证优于其他方法。
