Earticle

초록

영어

Wireless Sensor Networks (WSNs) enable applications where target state estimation is essential. To deal with the energy source and communication bandwidth constraints, an energy-aware adaptive probabilistic tracking mechanism based on quantization was proposed. According to the relationship between the sensing radius and node properties which include stored information and position, a part of redundant nodes were removed under the condition on accuracy. An energy optimization model was established using the quantitative observations and an adaptive sampling interval strategy to reduce traffic for communication between sensor nodes. After that, a probabilistic sensor selection algorithm based on the sensing model of the node is creatively proposed to further reduce energy. In order to show the ascendant functions of the proposed mechanism, numerical simulation results including two scenarios, the single target and multiple Targets, showed that the algorithm can achieve the required tracking accuracy, effectively reduce energy consumption, and distinctly improve the performance of WSNs.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Quantization Mechanisms
  3.1. Energy Model
  3.2. Quantization based on EKF Update
 4. Optimization Framework
 5. Node Selection
 6. Simulations and Results
  6.1. Signal Target
  6.2. Multiple Targets
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Jian Zhang [ Jiangsu Engineering Center of Network Monitoring, College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210004, China ]
• Qi Liu [ Jiangsu Engineering Center of Network Monitoring, College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210004, China ]
• Baowei Wang [ Jiangsu Engineering Center of Network Monitoring, College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210004, China ]
• Tao Li [ Jiangsu Engineering Center of Network Monitoring, College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210004, 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