C ONSTRUCTING L OAD -B ALANCED D ATA A GGREGATION T REES IN P ROBABILISTIC W IRELESS S ENSOR N...
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Transcript of C ONSTRUCTING L OAD -B ALANCED D ATA A GGREGATION T REES IN P ROBABILISTIC W IRELESS S ENSOR N...
![Page 1: C ONSTRUCTING L OAD -B ALANCED D ATA A GGREGATION T REES IN P ROBABILISTIC W IRELESS S ENSOR N ETWORKS Jing (Selena) He, Shouling Ji, Yi Pan, Yingshu Li.](https://reader033.fdocuments.net/reader033/viewer/2022051115/5697bf8e1a28abf838c8c968/html5/thumbnails/1.jpg)
CONSTRUCTING LOAD-BALANCED DATA AGGREGATION
TREES IN PROBABILISTIC WIRELESS SENSOR NETWORKS
Jing (Selena) He, Shouling Ji, Yi Pan, Yingshu Li
Department of Computer Science
Georgia State University
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OUTLINE
Motivation
Solution Overview
Problem Formulation and Analysis
Performance Evaulation
Conclusion2
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Motivation• Probabilistic Network Model• Load Balanced Data Aggregation Tree• Challenges
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TRANSITIONAL REGION PHENOMENON
Motivation
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Link Length 0 – 2.6 M 2.6 – 6 M > 6 M
λ > 80% 7 8 0
Total 8 27 15
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PROBABILISTIC NETWORK MODEL
Motivation
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LOAD-BALANCED DATA AGGREGATION TREE (LBDAT)
Motivation
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CHALLENGES
How to measure the traffic load of each node under Probabilistic Network Model (PNM)?
Potential load Actual load
How to find a Load-Balanced Data Aggregation Tree (LBDAT)?
NP-Complete
Motivation
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OUTLINE
Motivation
Solution Overview
Problem Formulation and Analysis
Performance Evaluation
Conclusion8
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SOLUTION OVERVIEW
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9Load-Balanced Maximal Independent Set (LBMIS)Connected Maximal Independent Set (CMIS)Load-Balanced Parent Node Assignment (LBPNA)Load-Balanced Data Aggregation Tree (LBDAT)
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OUTLINE
Motivation
Solution Overview
Problem Formulation and Analysis
Performance Evaluation
Conclusion10
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LOAD-BALANCED MAXIMAL INDEPENDENT SET (LBMIS)
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DS Property Constraint
IS Property Constraint
linearization
Relaxing
(quadratic)
ωi
1 vi is a dominator
0 otherwise
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APPROXIMATION ALGORITHM (RANDOM ROUNDING)
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Due to the relaxation enlarged the optimization space, the solution of LP*
LBMIS corresponds to a lower bound to the objective of INPLBMIS .
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LOAD-BALANCED MAXIMAL INDEPENDENT SET (LBMIS)
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CONNECTED MAXIMAL INDEPENDENT SET (CMIS)
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Relaxing
LOAD-BALANCED PARENT NODE ASSIGNMENT (LBPNA)
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Each dominatee can be allocated to only one dominator
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LOAD-BALANCED PARENT NODE ASSIGNMENT (LBPNA)
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OUTLINE
Motivation
Solution Overview
Problem Formulation and Analysis
Performance Evaluation
Conclusion17
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PERFORMANCE EVALUATION
Our method
Other’s Method
LBDAT prolong network lifetime by 42% on average compared with DAT
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OUTLINE
Motivation
Solution Overview
Problem Formulation and Analysis
Performance Evaluation
Conclusion19
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CONCLUSIONS
LBDAT is NP-Complete, constructed in three steps:Load-Balanced Maximal Independent Set (MDMIS)Connected Maximal Independent Set (CMIS)Load-Balanced Parent Node Allocation (LBPNA)
Approximation algorithms and performance ratio analysis are presented.
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Q & A