Volume & Issue no: Volume 9, Issue 3, May - June 2020
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Title: |
Data Aggregation Subject to QoS Constraints for Tracking Moving Objects in WSNs |
Author Name: |
Chorng-Horng Yang, Ying-Hong Lai |
Abstract: |
Abstract: A QoS-constrained Deviation-Avoidance Tree with
anchor node (Q-DATa) approach is presented in this paper. The
Q-DATa approach can support efficient update/query operations
as well as meet QoS constraints for the operations. The proposed
Q-DATa approach designates, according to the QoS constraints,
some anchor nodes that can aggregate and store the sensory
data, so that the query from sink and the updates from sensor
nodes are sent to the anchor node to meet their QoS constraints.
A simulation study was conducted to validate the approach. The
results show that Q-DATa inherits the merits from the DAT
approach and also guarantees the QoS in terms of delay and loss
rate requirements. Furthermore, on the weighted delay value,
the Q-DATa approach outperforms the DAT approach, under
most of the conditions.
Keywords: WSN, Data Aggregation, QoS, Object
Tracking |
Cite this article: |
Chorng-Horng Yang, Ying-Hong Lai , "
Data Aggregation Subject to QoS Constraints for Tracking Moving Objects in WSNs" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 9, Issue 3, May - June 2020 , pp.
015-019 , ISSN 2278-6856.
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