Earticle

초록

영어

Link quality estimation (LQE) is an effective basic building block in wireless sensor networks (WSNs) and higher cross layer design of network protocol. Some researchers have investigated the statistical properties of the link quality estimators independently from higher-layer protocols, and their impact on the Collection Tree Routing Protocol (CTP). Then they set up a dedicated LQE, independent of the protocol interface, which has in total of four bits information: one from the physical layer, one from the link layer, and two from the network layer. Four-bit has been found to be a good estimator; however its performance heavily depends on the tuning of its parameters. But we found that Four-bit couldn’t be working effectively in responding to the burst situation after repeated experiments. So we redesigned the link estimation method, called Stable Link Quality Estimation (SLQE), which combines active probing with passive snooping to make estimation more stable. We have found that the new design can cope with the emergency. Moreover it also enhances the robustness of the network, and saves the overall energy consumption of the network.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Hardware-based estimation methods
  2.2. Software-based Estimation Methods
  2.3. Stability Test
 3. SLQE Design
  3.1. Process of Routing Network
  3.2. Overall Architecture
  3.3. Short Period and Long Period Combination
  3.4. SLQE Logical Process
 4. Implementation
 5. Evaluation
 6. Conclusions and Future Work
 Acknowledgement
 References

키워드

저자

• An Zhou [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]
• Baowei Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]
• Xingming Sun [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]
• Xingang You [ College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China, Beijing Institute of Electronic Technology Application, Beijing 100091, China 4Department of Computer Science, New York University ]
• Huiyu Sun [ Department of Computer Science, New York University ]
• Tao Li [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, College of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, 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