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Load-Balanced Virtual Backbone Construction for Wireless Sensor Networks

Load-Balanced Virtual Backbone Construction for Wireless Sensor Networks. Jing (Selena) He, Shouling Ji, Yi Pan, Zhipeng Cai Department of Computer Science Georgia State University. Outline. Motivation Solution Overview Problem Formulation and Analysis Conclusion. Motivation.

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Load-Balanced Virtual Backbone Construction for Wireless Sensor Networks

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  1. Load-Balanced Virtual Backbone Constructionfor Wireless Sensor Networks Jing (Selena) He, Shouling Ji, Yi Pan, Zhipeng Cai Department of Computer Science Georgia State University

  2. Outline • Motivation • Solution Overview • Problem Formulation and Analysis • Conclusion

  3. Motivation Load-Balanced Connected Dominating Set (LBCDS) 1 2 1 2 3 4  3 4 5 6 7 8 5 6 7 8 Minimum-sized CDS (MCDS) Load-Balanced CDS (LBCDS)

  4. Motivation Load-Balancedly Allocate Diminatees (LBAD) 1 2 1 2 4 3 4 3  5 6 7 8 5 6 7 8 Unbalanced Allocation Balanced Allocation

  5. Outline • Motivation • Solution Overview • Problem Formulation and Analysis • Conclusion

  6. Solution Overview MinMax Valid-degree Dominatee Allocation (MVDA) MinMax Degree Maximal Independent Set (MDMIS) Connected Maximal Independent Set (CMIS)

  7. Outline • Motivation • Solution Overview • Problem Formulation and Analysis • Conclusion

  8. MinMax Degree Maximal Independent Set (MDMIS) DS Property Constraint IS Property Constraint (quadratic) 1 viis a dominator xi Relaxing 0otherwise linearization

  9. Approximation Algorithm (Random Rounding) Due to the relaxation enlarged the optimization space, the solution of LP*MDMIScorresponds to a lower bound to the objective of INPMDMIS .

  10. MinMax Degree Maximal Independent Set (MDMIS)

  11. Connected Maximal Independent Set (CMIS)

  12. MinMax Valid-degree Dominatee Allocation (MVDA) Each dominatee can be allocated to only one dominator Relaxing

  13. MinMax Valid-degree Dominatee Allocation (MVDA)

  14. Outline • Motivation • Solution Overview • Problem Formulation and Analysis • Conclusion

  15. Conclusions • LBCDS is NP-Complete, constructed in two steps: • MinMax Degree Maximal Independent Set (MDMIS) • Connected Maximal Independent Set (CMIS) • Load-Balanced Allocation • MinMax Valid-Degree Dominatee Allocation (MVDA) • Approximation algorithms and performance ratio analysis are presented.

  16. Q & A

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