Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Wireless sensor networks (WSN) are becoming increasingly promising in practice.
As the predeployment design and optimization are usually unpractical in random deployment scenarios, the global optimum of the WSN’s performance is achievable only if the topology dependent self-organizing process acquires the overview of the WSN, in which the boundary is the most important.
The idea of this paper comes from the fact that contours only break on the geometrical boundary and the WSN are discrete sampling systems of real environments.
By simulating a diffusion process in discrete form, the end point of semi-contours suggests the boundary nodes of a WSN.
The simulation cases show the algorithm is well worked in WSN with average degree higher than 10.
The boundary recognition could be very valuable for other algorithms dedicated to optimize the overall performance of WSN.
American Psychological Association (APA)
Gu, De& Wang, Jishuai& Li, Ji. 2014. Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1013518
Modern Language Association (MLA)
Gu, De…[et al.]. Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks. Abstract and Applied Analysis No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1013518
American Medical Association (AMA)
Gu, De& Wang, Jishuai& Li, Ji. Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1013518
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013518