A new transmission strategy to achieve energy balance and efficiency in wireless sensor networks. (26th August 2020)
- Record Type:
- Journal Article
- Title:
- A new transmission strategy to achieve energy balance and efficiency in wireless sensor networks. (26th August 2020)
- Main Title:
- A new transmission strategy to achieve energy balance and efficiency in wireless sensor networks
- Authors:
- Wang, Yanli
Feng, Yanyan - Abstract:
- Energy balancing and energy efficiency are very important in prolong network life. In wireless sensor networks, cooperative MIMO technology has become a research hotspot in recent years. The appropriate cooperative nodes can transmit data efficiently. Meanwhile, energy harvesting pays attention to the transmission process of network also. This paper presents the selection of cooperative nodes and cluster nodes, which offers energy balance. The node is not only the transmitter of information, but also the transmitter of energy. In addition, the paper also focuses on how to obtain the optimal energy efficiency with proposed resource allocation algorithm. Simulation results show that when cluster nodes and the cooperative nodes are more balanced, the selection algorithm realises the energy balance. The energy efficiency increases rapidly with the amount of transmitted power, and tends to be stable when it reaches 3 dBm. The cooperative MIMO technology is adopted to obtain higher network utility.
- Is Part Of:
- International journal of computational science and engineering. Volume 22:Number 4(2020)
- Journal:
- International journal of computational science and engineering
- Issue:
- Volume 22:Number 4(2020)
- Issue Display:
- Volume 22, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 22
- Issue:
- 4
- Issue Sort Value:
- 2020-0022-0004-0000
- Page Start:
- 376
- Page End:
- 382
- Publication Date:
- 2020-08-26
- Subjects:
- cooperative node -- wireless sensor network -- WSN -- energy harvesting -- energy balance -- energy efficiency
Computer science -- Mathematics -- Periodicals
Computer simulation -- Mathematical aspects -- Periodicals
Computational intelligence -- Periodicals
004.015105 - Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=ijcse ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1742-7185
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13774.xml