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20 contact hours
Used For:
2 Continuing Education Units

Wireless Sensor Networks Online Training Course

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.

Course Outcome

After completing Wireless Sensor Networks, students will be equipped with a basic understanding of the following:

  • 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

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

Students will be assigned 5 homework assignments, and a final project for each course.

The Sensor Network Concept

  • Introduction
  • Applications

Deployment & Configuration

  • Localization and calibration
  • Coverage and connectivity

Wireless Communications

  • Link quality, shadowing and fading effects

Medium Access

  • Scheduling sleep cycles


  • The 802.11 Standard
  • Bluetooth and 802.15.4

Data Gathering

  • Tree construction algorithms and analysis
  • Asymptotic capacity
  • Lifetime optimization formulations

Routing and Querying

  • Publish/Subscribe mechanisms
  • Geographic routing
  • Robustness
  • Storage and retrieval

Collaborative Signal Processing and Distributed Computation

  • Detection, estimation, classification problems
  • Energy-efficient distributed algorithms


  • Privacy issues
  • Attacks and countermeasures


This course is Instructor-led and delivered through our award-winning online Learning Management System