Earticle

초록

영어

Clustering is an effective topology control approach, which can prolong the lifetime and increase scalability for wireless sensor networks (WSNs). The popular criteria for clustering technique are to select cluster heads with more residual energy and to rotate them periodically. However, hot spots will emerge in real network environment at locations where they have heavy traffic load to transfer. Sensors at such locations quickly deplete their energy resources and die much faster, lending to energy hole and network partition. In this paper, we proposed our Reselection-based Energy Efficient Routing Algorithm (REERA) for WSNs, which determines proper cluster size based on the distance to the base station. After all clusters are formed, cluster heads can be reselected according to the ratio of residual energy of each node to their distance from base station. Simulation results show that our proposed algorithm can be more efficient in saving energy consumption and prolonging lifetime of WSNs than traditional LEACH algorithm.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Overview of LEACH
  2.2. Variations of LEACH
 3. System Model
  3.1. Network Model
  3.2. Energy Model
 4. Our Proposed REERA Algorithm
  4.1. Candidate Cluster Heads Selection Phase
  4.2. Cluster Formation and Final Cluster heads Selection Phase
  4.3. Data Transmission Phase
 5. Performance Evaluation
 6. Conclusions and Future Work
 Acknowledgments
 References

키워드

저자

• Jin Wang [ School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Liwu Zuo [ School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Zhongqi Zhang [ School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Xiaoqin Yang [ School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Jeong-Uk Kim [ Department of Energy Grid, Sangmyung University, Seoul 110-743, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605