Cyclic Probabilistic Data Processing in Autonomous Wireless Sensor Networks Using Fuzzy Petri Nets

سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 439

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شناسه ملی سند علمی:

TECCONF03_070

تاریخ نمایه سازی: 5 آبان 1397

چکیده مقاله:

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.

نویسندگان

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