An Energy-Efficient Method for Processing a k-Dominant Skyline Query in Wireless Sensor Networks

As the first priority of query processing in wireless sensor networks is to save the limited energy of sensor nodes and in many sensing applications a part of skyline result is enough for the user’s requirement, calculating the exact skyline is not energy-efficient relatively. Therefore, a new approximate skyline query,β-approximate skyline query which is limited by a guaranteed error bound, is proposed in this paper. With an objective to reduce the communication cost in evaluatingβ-approximate skyline queries, we also propose an energy-efficient processing algorithm using mapping and filtering strategies, named Actual Approximate Skyline (AAS). And more than that, an extended algorithm named Hypothetical Approximate Skyline (HAS) which replaces the real tuples with the hypothetical ones is proposed to further reduce the communication cost. Extensive experiments on synthetic data have demonstrated the efficiency and effectiveness of our proposed approaches with various experimental settings.

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Energy Efficient Skyline Query Processing in Wireless Sensor Networks

IEICE Transactions on Information and Systems ◽

10.1587/transinf.e93.d.2854 ◽

2010 ◽

Vol E93-D (10) ◽

pp. 2854-2857

Author(s):

Dongook SEONG ◽

Junho PARK ◽

Myungho YEO ◽

Jaesoo YOO

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Query Processing ◽

Energy Efficient ◽

Wireless Sensor ◽

Skyline Query ◽

Skyline Query Processing

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Adaptive clear channel assessment (A-CCA): Energy efficient method to improve wireless sensor networks (WSNs) operations

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2020.153603 ◽

2021 ◽

Vol 131 ◽

pp. 153603

Author(s):

Omer Ali ◽

Mohamad Khairi Ishak ◽

Muhammad Kamran Liaquat Bhatti

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Efficient Method ◽

Energy Efficient ◽

Wireless Sensor ◽

Clear Channel Assessment ◽

Clear Channel

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ANALYSIS OF ENERGY CONSUMPTION OF SELECTED CLUSTER TECHNIQUE

Engineering Science & Technology Journal ◽

10.51594/estj.v1i2.117 ◽

2019 ◽

Vol 1 (2) ◽

pp. 37-44

Author(s):

William David ◽

Chang Bing

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Efficient Method ◽

Energy Efficient ◽

Human Life ◽

Modern Human ◽

Wireless Sensor ◽

Cluster Technique ◽

Crucial Problem

The study is about wireless sensor networks which plays important role in modern human life. The wireless sensor networks pose crucial problem of energy consumption which is investigated in this study. Three types of cluster technique including K-means, Fuzzy, and SOM were analyzed in the present study based on 50 nodes and 100 nodes network. The results were compared based on various velocity m/s and percentage of energy decay in the network. The results show that among the three cluster techniques, the Fuzzy method turned out to be the most energy efficient method.

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