Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks. (22nd June 2014)
- Record Type:
- Journal Article
- Title:
- Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks. (22nd June 2014)
- Main Title:
- Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks
- Authors:
- Gu, De
Wang, Jishuai
Li, Ji - Other Names:
- He Shuping Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Abstract and applied analysis. Volume 2014(2014)
- Journal:
- Abstract and applied analysis
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-06-22
- Subjects:
- Mathematical analysis -- Periodicals
Mathematical analysis
Applied Mathematics
Mathematical Analysis
Periodicals
515.05 - Journal URLs:
- http://www.hindawi.com/journals/aaa ↗
http://ProjectEuclid.org/aaa ↗ - DOI:
- 10.1155/2014/236279 ↗
- Languages:
- English
- ISSNs:
- 1085-3375
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10705.xml