Energy efficient head node selection algorithm in wireless sensor networks

Wanming Chen, Max Q H Meng, Shuai Li, Tao Mei, Huawei Liang, Yangming Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Energy problem is a key issue for the wireless sensor network with limited batteries. It's a good idea to select a head node for data aggregation to save the energy of data transmitting. However, many algorithms don't consider the whole integrated network situation for head node selection. We proposed an energy efficient head node selection method for data aggregation. In this algorithm, three aspects were taken into consideration, which were the candidate head node's single residual energy, the total energy spent in the network if this candidate head node is chosen, and the quality of balance of the residual nodes' energy. To adapt the actual sensor nodes with limited memory and computing capacity, a simplified model is also introduced. Simulation results show that this new head node selection algorithm can achieve balanced energy consumption and prolong the life time of the network highly.
Original languageEnglish
Title of host publication2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
PublisherIEEE Computer Society
Pages1366-1371
Number of pages6
ISBN (Print)9781424417582
DOIs
Publication statusPublished - 1 Jan 2007
Externally publishedYes
Event2007 IEEE International Conference on Robotics and Biomimetics, ROBIO - Yalong Bay, Sanya, China
Duration: 15 Dec 200718 Dec 2007

Conference

Conference2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
Country/TerritoryChina
CityYalong Bay, Sanya
Period15/12/0718/12/07

Keywords

  • Data aggregation
  • Head node selection
  • Wireless sensor networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Biomaterials

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