Computing Quality of Information for Wireless Sensor Networks

Authors

  • Jiajun Jiang Old Dominion University, USA
  • Hyeonin Shin Old Dominion University, USA
  • Chung-Hao Chen Old Dominion University, USA
  • Lijia Chen Henan University, China
  • Wen-Chao Yang National Central Police University, Taiwan

DOI:

https://doi.org/10.15377/2409-9821.2018.05.5

Keywords:

Quality of information, Multi-sensor systems, QoI structural, Accuracy, Reward-and-punishment mechanism, Structural and computer related design, Sensor belief.

Abstract

 Wireless sensor networking research is a structural and computer related design that mainly focused on internal wireless sensor network issues such as MAC and routing protocols, energy saving, hard ware design and to some extent on the architecture of gateways that connect a wireless sensor network with the rest of the world. They offer a low-cost solution that provides a high data density. Information obtained from such systems are imprecise in nature but is used for important decision making tasks. This precipitates the need to dynamically compute the quality of information (QoI) based on sensor observations. However, the sensors deployed in an environment do not have the same belief level due to their differences in capabilities and imprecision in sensing and processing. The belief in a sensor represents the level of accuracy in accomplishing a task that can be computed either by comparing the current observation with a reference data set or by performing a physical investigation. It is essential to understand how the sensors are performing with respect to the objective tasks. In this paper we propose a modified Information-driven sensor query (IDSQ) algorithm using reward-and-punishment mechanism to dynamically compute the belief in sensors by leveraging the differences of the individual sensor’s opinion. In this structural, results show the suitability of utilizing the dynamically computed belief as an alternative to the accuracy of the sensors. The structural can then be used to distribute the model processing into the wireless sensor network.

Author Biographies

Jiajun Jiang, Old Dominion University, USA

Electrical and Computer Engineering

Hyeonin Shin, Old Dominion University, USA

Electrical and Computer Engineering

Chung-Hao Chen, Old Dominion University, USA

Electrical and Computer Engineering

Lijia Chen, Henan University, China

School of Physics and Electronics

Wen-Chao Yang, National Central Police University, Taiwan

Department of Forensic Science

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Published

2018-12-31

How to Cite

1.
Jiajun Jiang, Hyeonin Shin, Chung-Hao Chen, Lijia Chen, Wen-Chao Yang. Computing Quality of Information for Wireless Sensor Networks. Int. J. Archit. Eng. Technol. [Internet]. 2018Dec.31 [cited 2021Sep.25];5(1):52-6. Available from: https://www.avantipublishers.com/jms/index.php/ijaet/article/view/798

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