Wireless Sensor Networks Online Course & Certificate

Technology Ed presents Wireless Sensor Networks Online Course & Certificate

Wireless Sensor Networks Online Course & Certificate

Course Description

Wireless Sensor Networks (WSNs) started as a wild academic idea that turned into a commercially vibrant technology. From solely sensing the environment, wireless sensor networks are now deployed in production in energy, medicine, transportation, industrial automation, etc. Wireless Sensor Networks is a course that covers the state-of-the art in the technology as well as the industry. It covers the fundamentals of wireless sensor design and radio frequency (RF) technology, the communication protocols used, and the application requirements of this technology.

Assessment

Students will be assigned 5 homework assignments, and 1 final exam for each course.

Course Outcomes:
  • proposed mechanisms for the deployment and configuration of sensors
  • wireless communication standards
  • energy-efficient data gathering
  • handling challenging wireless link conditions
  • data-centric querying
  • routing and storage
  • maximizing network lifetime and capacity
  • collaborative signal processing
  • reliability
  • fault-tolerance and security
Course Details:

Prerequisites

A basis understanding of networks and programming is recommended, but not required

Certificate Info:

Type of Certification

Certificate of Completion

Format of Certification

Digital

Method of Obtaining Certification

A Certificate of Completion will be available to download upon successful completion of a course.

Course Outline

  • Introduction
  • Applications
  • Localization and calibration
  • Coverage and connectivity
  • Link quality, shadowing and fading effects
  • Scheduling sleep cycles
  • The 802.11 Standard
  • Bluetooth and 802.15.4
  • Tree construction algorithms and analysis
  • Asymptotic capacity
  • Lifetime optimization formulations
  • Publish/Subscribe mechanisms
  • Geographic routing
  • Robustness
  • Storage and retrieval
  • Detection, estimation, classification problems
  • Energy-efficient distributed algorithms
  • Privacy issues
  • Attacks and countermeasures

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