Quality of Information assurance using phenomena-aware resource management in sensor networks

Author(s):  
Andrei Tolstikov ◽  
Chen-khong Tham ◽  
Jit Biswas
2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Hao Guo ◽  
Zhongming Pan ◽  
Zhiping Huang ◽  
Jing Zhou

As wireless sensor networks (WSNs) often provide incorrect and outdated information about the events in a monitored environment, quality of information (QoI) assessment is invaluable for users to manage and use the information in particular applications. In this paper, we propose a flexible framework to dynamically assess the QoI in different WSN applications, with focus on accuracy and timeliness. Our framework is constructed on the infrastructure of an information aggregation procedure under some assumptions about the network. Based on information fusion theory, two processing models are adopted to assess the accuracy of low-level measurement data and high-level decision information without the need for Ground Truth (GT). Meanwhile, our framework generally exploits two respective models according to the specific category of the information timeliness in different delay-sensitive applications. To quantify the timeliness, we utilize a practical measurement method by means of timestamp to determine the information acquisition time. The framework is evaluated by simulations, including accuracy assessment in two environmental monitoring application scenarios, and timeliness assessment in two delay-sensitive application scenarios. The simulation results show that our framework is effective and flexible for quantitative assessment of the QoI in different WSN applications.


2005 ◽  
Vol 1 (1) ◽  
pp. 9 ◽  
Author(s):  
Ronan De Renesse ◽  
Vasilis Friderikos ◽  
Hamid Aghvami

Ad hoc and sensor networks have received tremendous attention in the recent literature due to its unpredictable nature and its many applications. Imposing any kind of reliability in such networks represents a real challenge. In this paper, we propose a new resource management scheme which virtually reserves and releases resources at the network layer when necessary. Results show that our scheme distributes resources efficiently between Best Effort and Quality of Service traffics even when congestion arises.


Author(s):  
Chatschik Bisdikian ◽  
Joel Branch ◽  
Kin K. Leung ◽  
Robert I. Young

2009 ◽  
Vol 53 (5) ◽  
pp. 493-502 ◽  
Author(s):  
D. Gillies ◽  
D. Thornley ◽  
C. Bisdikian

2016 ◽  
Vol 10 (17) ◽  
pp. 2281-2289 ◽  
Author(s):  
Pengfei Du ◽  
Qinghai Yang ◽  
Qingsu He ◽  
Kyung Sup Kwak

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