| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 02033 | |
| Number of page(s) | 5 | |
| Section | Part 2: Internet +, Big data and Flexible manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201710002033 | |
| Published online | 08 March 2017 | |
A New Stochastic Geometry Model of Coexistence of Wireless Body Sensor Networks
1 Shandong Computer Science Center(National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Ji’nan 250014, China
2 College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
* Corresponding Email: liurx@sdas.org
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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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