Registration Deadline: 26 November 2018
Paper Submission Deadline: 16 October 2018
Start Date: 28 And 29 November 2018
Organizer(s): University of Kurdistan, Smart/Micro Grids Research Center, Iranian Society of Smart Grid
Sponsor(s): Shahid Bahonar University of Kerman, Graduate University of Advanced Technology, Amirkabir University of Technology, Sharif University of Technology, Iran University of Science and Technology, Niroo Research Institute, Power and Water University of Technology, IEEE, Kurdistan Electrical Power Distribution Company, Kurdistan Transmitting Power Office, West Regional Electric Company, IEEE Kurdistan Student Branch, Iran National Science Foundation
Conference Calendar:
  • Start Date: -350 Days Left
  • Paper Submission Begins: -557 Days Left
  • Paper Submission Deadline: -393 Days Left
طراحی بهینه شبکه های سنسوری هوشمند مبتنی بر الگوریتم های یادگیری و الهام گرفته از طبیعت
Start Date:
29 November 2018
Conference Location:
دانشگاه کردستان
Registration Deadline:
26 November 2018
Instructors:
Faezad H. Panahi، Fereidoun Hossein Panahi، Kayvan Mahmoodi
Capacity:
50 Person
Topics:
  • Background
  • Scope of the Work
  • Problem Statement and Objectives
  • MATLAB-based WSN Models
  • Energy-Efficient Strategies
  • Learning and Nature-inspired Algorithms
  • Simulation Results
  • Discussion and Conclusions
Wireless sensor networks (WSNs) and Internet of things (IoT)-based systems will play a bigger and bigger role in our everyday lives in the near future. Indeed, we are well on the way towards a hundred of billions-sensor market. Therefore, it is predicted that WSNs and IoT are becoming a ubiquitous part of our lives in homes, vehicles, traffic, food production and healthcare, monitoring and controlling our activities. Clearly, a crucial part in this development is played by low-cost, resource-efficient and intelligent solutions in sensor network development which are all discussed in this workshop according to the following agenda:
  • Background
  • Scope of the Work
  • Problem Statement and Objectives
  • MATLAB-based WSN Models
  • Energy-Efficient Strategies
  • Learning and Nature-inspired Algorithms
  • Simulation Results
  • Discussion and Conclusions
Regisrtation deadline ended
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