New type NP-CSMA of adaptive multi-priority control WSN protocol analysis. (5th February 2021)
- Record Type:
- Journal Article
- Title:
- New type NP-CSMA of adaptive multi-priority control WSN protocol analysis. (5th February 2021)
- Main Title:
- New type NP-CSMA of adaptive multi-priority control WSN protocol analysis
- Authors:
- Han, Zejun
Ding, Hongwei
Yue, Kun
Bao, Liyong
Yang, Zhijun - Abstract:
- Wireless sensor networks (WSN) uses a large number of cheap micro sensor nodes, which can be used to perceive and deal with the information that the transmission network covers the object in the geographic area, so it is very popular among people. P-CSMA access to WSN can control the system and reduce energy consumption, but the overall effect is general and the practicability is common. In this paper, a three-clock non-persistent P-CSMA (NP-CSMA) based on variable collision length is proposed to improve system throughput. By dividing the successful packet transmission time (1 + a ), the collision packet transmission time ( b + a ), the free packet sending time a, the average cycle method is used to find out the important parameters of the system, such as throughput, collision rate and idle rate, striving to minimise the system energy consumption, effectively extending the life cycle of nodes and reducing costs. Finally, simulation experiments are validated the validity of the agreement, comparing with other protocols to verify the superiority of this agreement.
- Is Part Of:
- International journal of reasoning-based intelligent systems. Volume 13:Number 1(2021)
- Journal:
- International journal of reasoning-based intelligent systems
- Issue:
- Volume 13:Number 1(2021)
- Issue Display:
- Volume 13, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 13
- Issue:
- 1
- Issue Sort Value:
- 2021-0013-0001-0000
- Page Start:
- 24
- Page End:
- 31
- Publication Date:
- 2021-02-05
- Subjects:
- wireless sensor networks -- WSN -- collision length variable -- three-clock -- non-persistent P-CSMA -- throughput -- average cycle method
Artificial intelligence -- Periodicals
Reasoning -- Periodicals
006.3 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/browse/index.php?journalCODE=ijris ↗
http://www.inderscience.com/jhome.php?jcode=ijris ↗ - Languages:
- English
- ISSNs:
- 1755-0556
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
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British Library STI - ELD Digital store - Ingest File:
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