移动计算中的质量感知人群感知

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Applied System Innovation Pub Date : 2023-03-08 DOI:10.3390/asi6020037
B. Thippeswamy, Mohamed Ghouse, Shanawaz Ahamed Jafarabad, Murtuza Ahamed Khan Mohammed, Ketema Adere, Prabhu Prasad B. M., P. B. N.
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引用次数: 0

摘要

移动计算是一个重要的机会,可以在现实生活的许多领域中用于各种实际应用。由于普适计算的固有特征,设备可以收集多种类型的数据,这些数据导致了许多领域的创新应用,具有独特的新兴原型,即人群传感。在这里,人的参与是一个重要的特征,他们的流动性提供了一个独特的机会来收集和传输数据在一个相当大的地理区域。因此,我们从感知和传输的角度出发,提出了具有唯一参数的信息质量(QOI)的新思想。此外,我们提出了一些可行的改进想法,通过有效的技术,胜任机会数据收集。本工作还考虑了以往相关工作中提到的一些开放性问题。
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QACM: Quality Aware Crowd Sensing in Mobile Computing
Mobile computing is one of the significant opportunities that can be used for various practical applications in numerous fields in real life. Due to inherent characteristics of ubiquitous computing, devices can gather numerous types of data that led to innovative applications in many fields with a unique emerging prototype known as Crowd sensing. Here, the involvement of people is one of the important features and their mobility provides an exclusive opportunity to collect and transmit the data over a substantial geographical area. Thus, we put forward novel idea about Quality of Information (QOI) with unique parameters with opportunistic uniqueness of people’s mobility in terms of sensing and transmission. Additionally, we propose some of the viable improved ideas about the competent opportunistic data collection through efficient techniques. This work also considered some of the open issues mentioned by previous related works.
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来源期刊
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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