文章基本信息

标题：A New Stochastic Geometry Model of Coexistence of Wireless Body Sensor Networks
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作者：Ming Yang ; Ming Yang ; Ruixia Liu 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2017
卷号：100
页码：1-5
DOI：10.1051/matecconf/201710002033
语种：English
出版社：EDP Sciences
摘要：Stochastic geometry, in particular Poission point process theory, has been widely used in the last decade to provide models and methods to analyze wireless networks. It is a branch of mathematics which deals with the study of random point processes. There are various models for point processes, typically based on but going beyond the classic homogeneous Poisson point process. Poisson point process cannot be used to model the spatial distribution of the simultaneously active transmitters. A novel framework has been presented for modeling the intensity of simultaneous active transmitters of a random carrier sense multiple access wireless sensor network. This thinning rule uses a second-neighbors distance-dependent method, which controls too many nodes deleted of points close together.