Neural network-based virtual backbone tree construction and dynamic sink implementation to enhance the lifetime of the network and minimise the energy consumption. (28th August 2019)
- Record Type:
- Journal Article
- Title:
- Neural network-based virtual backbone tree construction and dynamic sink implementation to enhance the lifetime of the network and minimise the energy consumption. (28th August 2019)
- Main Title:
- Neural network-based virtual backbone tree construction and dynamic sink implementation to enhance the lifetime of the network and minimise the energy consumption
- Authors:
- Kumar, Stephen K. Vimal
Mathivanan, V. - Abstract:
- With the effect of technological development, the primary objective of this research aims at retaining the energy level of the sensor node for a long period in the wireless sensor network. Ensuring negligible energy drop leads to long life for the network. Secure group key management technique is imposed to solve the security problem such as authentication, confidentiality and scalability. Cluster key and master key is exclusively used in the network to protect the sensed information while communication between nodes takes place. Static and movable mobile sinks are deployed to enhance the lifetimes of the sensors in the network. Initially, the static mobile sinks act as a trusted third party for computing and distributing keys between sensor nodes and the clusters. Further, movable sinks are used to receive sensed data from the sensor where it is being located which avoids unnecessary event of choosing new cluster head often. The energy is retained, since the presence of trusted third party sink performs all the computations of cluster head. Computation is reduced in cluster head thereby increases the life time of the particular cluster. Outcomes of experiments prove that the suggested technique produced better results compared to related study.
- Is Part Of:
- International journal of advanced intelligence paradigms. Volume 13:Number 3/4(2019)
- Journal:
- International journal of advanced intelligence paradigms
- Issue:
- Volume 13:Number 3/4(2019)
- Issue Display:
- Volume 13, Issue 3/4 (2019)
- Year:
- 2019
- Volume:
- 13
- Issue:
- 3/4
- Issue Sort Value:
- 2019-0013-NaN-0000
- Page Start:
- 304
- Page End:
- 323
- Publication Date:
- 2019-08-28
- Subjects:
- wireless network -- dynamic sink -- static sink -- security -- neural network -- virtual backbone tree -- energy consumption -- life time of a network -- cluster key -- master key -- feed forward network -- fault tolerant
Artificial intelligence -- Periodicals
Machine theory -- Periodicals
Fuzzy logic -- Periodicals
006.305 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalID=272 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1755-0386
- Deposit Type:
- Legaldeposit
- View Content:
- 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:
- 11282.xml