Earticle

초록

영어

In order to solve such problems as large delay and large energy consumption in current wireless sensor network (WSN) during data collection, a network structure for WSN data collection based on delay perception is designed in this article. Firstly, the tree structure thought is introduced therein to divide WSN sensor nodes into multiple single-layer clusters with different sizes so as to construct a new network structure, thus to improve the topological structure and enable the cluster heads to complete the data communication in an interlaced mode as well as significantly reduce the delay during data collection; secondly, the model for calculating the delay and the energy consumption during WSN data collection is established in this article; thirdly, Top-Down technology is introduced therein to design the network structure formation algorithm, thus to optimize the energy consumption of the data collection mechanism through the communication distance minimization. The experiment shows: compared with existing network structure for WSN data collection, the proposed network structure can not only effectively reduce the delay during WSN data collection, but also maintain the whole communication energy consumption at a relatively low level.

목차

Abstract
 1. Introduction
 2. Design of the Proposed Network Structure
 3. Modeling
  3.1. Delay during Data Collection
  3.2. Energy Consumption
 4. Network Structure Formation Algorithm
 5. Energy Consumption Optimization of the Proposed Network Structure
 6. Simulation Experimental and Analysis
  6.1. Delay during Data Collection
  6.2. Energy Consumption
  6.3. Network Life Cycle
 7. Conclusion
 Acknowledgement
 References

키워드

저자

• Wen Xiongjun [ School of Information Science and Engineering, Hunan International Economics University, Changsha, China ]
• Liu Yingchun [ School of Information Science and Engineering, Hunan International Economics University, Changsha, China ]
• Liu Shukun [ School of Information Science and Engineering, Hunan International Economics University, Changsha, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605