Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks. (15th July 2015)
- Record Type:
- Journal Article
- Title:
- Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks. (15th July 2015)
- Main Title:
- Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks
- Authors:
- Long, Jun
He, An
Liu, Anfeng
Chen, Xue - Other Names:
- Cao Jian-Nong Academic Editor.
- Abstract:
- Abstract : Quality of sensing is a fundamental research topic in sensor networks. In this paper, we propose an adaptive sensing technique to guarantee the end-to-end reliability while maximizing the lifetime of sensor networks under additive white Gaussian noise channels. First, we conduct theoretical analysis to obtain optimal node numberN ∗, node placementd ∗, and node transmission structureP ∗ under minimum total energy consumption and minimum unit data transmission energy consumption. Then, because sensor nodes closer to the sink consume more energy, nodes far from the sink have more residual energy. Based on this observation, we propose an adaptive sensing technique to achieve balanced network energy consumption. It adopts lower reliability requirement and shorter transmission distance for nodes near the sink and adopts higher reliability requirement and farther transmission distance for nodes far from the sink. Theoretical analysis and experimental results show that our design can improve the network lifetime by several times (1–5 times) and network utility by 20% and the desired reliability level is also guaranteed.
- Is Part Of:
- Journal of sensors. Volume 2015(2015)
- Journal:
- Journal of sensors
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-07-15
- Subjects:
- Detectors -- Periodicals
681.205 - Journal URLs:
- https://www.hindawi.com/journals/js/ ↗
- DOI:
- 10.1155/2015/532045 ↗
- Languages:
- English
- ISSNs:
- 1687-725X
- 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:
- 10835.xml