Data Storage and Collection Mechanisms in Wireless Sensor Networks

• Main Authors: Ssu-Chi Kuai, 蒯思齊
• Other Authors: Wen-Hwa Liao
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/ua5883

博士 === 大同大學 === 資訊經營學系(所) === 107 === In the Wireless Sensor Network (WSN), the energy efficiency is made a very important issue due to the energy limitation of the sensors. Multi-hop routing, which is commonly used in the environment to collect data, is more likely to cause the sensor nodes near the sink location to use up energy early and cause the network to fail. In this paper, we discuss the research on various energy-saving issues in WSN and collate the references for four different fields, such as data collection methods, data storage methods, wake-up mechanisms, and software-defined networks. It is known from these references that in order to improve the sensor node energy limit of the WSN, numerous studies have been directed to saving the energy consumption of the sensor node. It includes the use of mobile sink to reduce hot-spot problems, improve data storage and query mechanism, and sense node wake-up mechanism. However, there is less research on the quality of data in these studies, and most of the environmental preconditions in the research are mainly fixed the sink and less research on the environment of the mobile sink. Therefore, the main purpose of this paper is to propose a complete data collection architecture to extend the lifetime of the WSN environment, including the storage, transmission, and collection of data. Specifically, the software-defined networking (SDN) technology is used to reduce the power consumption of processing and storage, and a wake-up mechanism is proposed to ensure that the data can be transmitted reliably, and finally collect the sensing data in the environment by using the mobile sink. This paper will propose three different processing methods in the corresponding architecture, which respectively solve the data transmission path and storage location determination method in the collection and concentration part of the sensing data; the data quality assurance topic uses the wake-up mechanism and transmission sequential design resolution; and a set of path planning methods for data collection to complete the final data collection. At the end of the paper, three parts are simulated and analyzed. The experimental results show that the proposed method can effectively extend the lifetime of the network, and can avoid the problem of data quality in the past research because of the increase of delay time. In terms of the efficiency of storage space utilization, experiments have also proved that our method successfully avoids data discarding caused by insufficient storage space and can improve the quality of data. Therefore, this paper presents an efficient method of data collection.