Improving localization performance is one of the critical issues in Wireless Sensor Networks (WSN). As a range-free localization algorithm, Distance Vector-Hop(DV-Hop) is well-known for its simplicity but is hindered by its low accuracy and poor stability. Therefore, it is necessary to improve DV-Hop to achieve a competitive performance. However, the comprehensive performance of WSN is limited by computing and storage capabilities of sensor nodes. In this paper, we propose an algorithm with parallel and compact techniques based on Whale Optimization Algorithm (PCWOA) to improve DV-Hop performance. The compact technique saves memory consumption by reducing the original population. The parallel techniques enhance the ability to jump out of local optimization and improve the solution accuracy. The proposed algorithm is tested on CEC2013 benchmark functions and compared with some popular algorithms and compact algorithms. Experimental results show that the improved algorithm achieves competitive results over compared algorithms. Finally, simulation research is conducted to verify the localization performance of our proposed algorithm.
University library informationization plays an important role in developing reading habits and knowledge literacy of teachers and students in universities. However, most college libraries in China still have problems such as not paying enough attention to informatization construction and low informatization construction. This paper adheres to the problem-oriented, and on the basis of analyzing the problems, puts forward countermeasures and suggestions to improve the level of informationization construction of university libraries.
The article ''Improved DV-Hop based on parallel and compact whale optimization algorithm for localization in wireless sensor networks'', written by Ruo-Bin Wang,
Abstract. It is found that there are many Chinglish phenomena in abstract of undergraduate's abstract. The biggest challenge that students encounter is to find authentic and idiomatic way to translate the original Chinese text into English. To solve the problem, this paper analyses the causes of Chinglish phenomenon and offers the solutions to the problem with empirical method. The research method goes as follows: the first step is to analyze the cause of Chinglish phenomenon with the method of case analysis; the second step is to list the different expressions between Chinese and English, and then to research the Chinglish from words and sentence levels based on corpus analysis. In Chinese-English translation, the culture and thinking difference between Chinese and English have the most significant influence on translators' expression, which makes it hard to accurately translate the meaning of the original Chinese text. The importance of the paper lies in making those people that including researchers, translators and other English learners recognize the existence of the problem and pay more attention to it, thus help to improve students' competency in abstract writing and translating.
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