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

عنوان مقاله: Cyclic Probabilistic Data Processing in Autonomous Wireless Sensor Networks Using Fuzzy Petri Nets
شناسه ملی مقاله: TECCONF03_070
منتشر شده در سومین کنفرانس ملی فناوری در مهندسی برق و کامپیوتر در سال 1397
مشخصات نویسندگان مقاله:

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

خلاصه 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.

کلمات کلیدی:
Fuzzy Petri Nets, Sensor Wireless Network, Goal Autonomous Agents, Query Processing, Active Databases

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/789915/