Cyclic Probabilistic Data Processing in Autonomous Wireless Sensor Networks Using Fuzzy Petri Nets
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
TECCONF03_070
تاریخ نمایه سازی: 5 آبان 1397
Abstract:
In this paper, we propose a high level fuzzy Petri net model for autonomous response to sensor motivated active queries in autonomous wireless sensor networks (AWSN). We also discuss centralized and decentralized data handling, providing a rational base for a cyclic-leveled data handling mechanism. Different autonomous levels in goal or decision making and action performing processes will be discussed. Furthermore, we suggest an integrated, optimizing error-correcting mechanism based on probabilistic solutions. It is joined with probability issues and also, declaration of classic databases’ features like data functional dependencies among sensed data. Different components will be combined using an overall block diagram and eventually, a high level fuzzy Petri net model has been proposed.
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Authors
Ali A. Pouyan
Laboratory of Signal Processing, Semnan Park of Science and Technology, Shahrood, Iran
M. H. Amooei
School of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Golnoush Pouyan
Department of Biomedical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran