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Adaptive connected dominating set discovering algorithm in energy-harvest sensor networks

  • Tuo Shi
  • , Siyao Cheng
  • , Zhipeng Cai
  • , Jianzhong Li

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A Wireless Sensor Network consists of a number of sensors. The energy of each sensor is limited which limits network lifetime. There are many existing energy efficiency algorithms to prolong network lifetime. Basically, there are two kinds of methods. One is energy-efficiency management, such as duty-cycling using virtual-backbones. The other one is energy provision, such as energy harvest from the environment. In this paper, we introduce a new problem, CDSEH, to combine these two methods together. We also propose a new standard to define the network lifetime of a WSN. We prove that the CDSEH problem is NP-Complete and propose two approximate algorithms accordingly. Extensive simulation results are shown to validate the performance of our algorithms.

©2016 IEEE
Original languageEnglish
Title of host publicationIEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications
PublisherIEEE
Number of pages9
ISBN (Electronic)978-1-4673-9953-1
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States
Duration: 10 Apr 201614 Apr 2016
http://infocom2016.ieee-infocom.org/

Conference

Conference35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
PlaceUnited States
CitySan Francisco
Period10/04/1614/04/16
Internet address

Funding

This work was supported in part by the National Basic Research Program of China (973 Program) under Grant No. 2012CB316200, the National Natural Science Foundation of China (NSFC) under Grant No. 61190115, 61370217, U1509216, the Fundamental Research Funds for the Central Universities under grant No. HIT.KISTP201415, the National Science Foundation (NSF) under Grants No. CNS1152001, CNS-1252292, the Research Fund for the Doctoral Program of Higher Education of China under grant No.20132302120045, and the Natural Scientific Research Innovation Foundation in Harbin Institute of Technology under grant No.HIT.NSRIF.2014070.

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