Clustering and data aggregation scheme in underwater wireless acoustic sensor network

The network is considered to be dead when the dead nodes number exceeds beyond the threshold limit. [...]the aim of the hierarchical topology scheme is to increase the network lifetime to the maximum feasible extent. 3.2.Energy Model The major limitation of UWASN is its energy capability to recharge...

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Bibliographic Details
Published inTelkomnika Vol. 17; no. 4; pp. 1604 - 1614
Main Authors Krishnaswamy, Vani, Manvi, Sunil Kumar S.
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.08.2019
Subjects
Access control
Acoustics
Agglomeration
Algorithms
Architectural engineering
Clustering
Communication
Computer engineering
Data management
Data transmission
Energy consumption
Fuzzy logic
Information science
Mathematical models
Nodes
Rechargeable batteries
Researchers
Schedules
Sensors
Similarity measures
Time Division Multiple Access
Topology
Underwater acoustics
Wireless networks
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Summary:The network is considered to be dead when the dead nodes number exceeds beyond the threshold limit. [...]the aim of the hierarchical topology scheme is to increase the network lifetime to the maximum feasible extent. 3.2.Energy Model The major limitation of UWASN is its energy capability to recharge the battery which cannot be done frequently. [...]using CSMA (Carrier Sense Multiple Access) MAC (Medium Access Control) protocol CH will broadcast advertisement message (ADV) in time with Ti. 3) Depending on the strength of the received signal, every member node other than CH will determine it's CH for the next round. 4) Once again using CSMA MAC protocol every non CH node will transmit a join-request back to its chosen CH. 5) Using TDMA (Time Division Multiple Access) CH node will schedule for data transmission within the cluster. [...]number of clusters set to 2 for conducting all the experiments. 5.2.Study of Life Cycle The life cycle of the UWASN is greatly influenced by two factors. [...]networks using clustering with data aggregation scheme devour less energy compared to a network without clustering and data aggregation. 6.Conclusion In this study, we propose a new clustering scheme using fuzzy logic considering energy and the probability of belongingness of the sensor nodes.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v17i4.11379