This event is endorsed
and organized by

The 1st EAI International Conference on Smart Grid Assisted Internet of Things

July 11–12, 2017 | Sault Ste. Marie, Ontario, Canada

Program Information

Please note that the conference events will be held on the Essar Convergence Center at Algoma University. Campus map can be found from

https://www.algomau.ca/admissions/visit/campus-map/

The detail schedule of the paper presentations will be uploaded very soon.

11th July (Day 1)

Time

 

Room

8:30 to 9:00

Registration

CC 201

9:00 to 9:15

Welcome Speech by General Chair

CC 201

9:15 to 10:00

Keynote Speech

Dr. Akramul Azim

"Disruptive technology: internet of things"

CC 201

10:00 to 10:15

Coffee Break

 

10:15 to 11:30

  1. IoT Enabled Electric Vehicle’s Battery Monitoring System
  2. Information Quality Aware Data Collection for Adaptive Monitoring of Distribution Grids
  3. Collaborative Detection and Response Framework Against SQL Injection Attacks in IoT-based smart grids

CC 201

11:30 to 12:30

Lunch

 

12:30 to 2:00

  1. Scheduling  schedulable Energy in Smart Grid
  2. Diagnosing False Data Injection Attacks in the Smart Grid: A Practical Framework for Home-are Networks
  3. A Simulation Tool for the Performance Evaluation of Large-scale RF-Mesh Networks for Smart Grid and IoT Applications

CC 203

2:00 to 2:15

Coffee Break

 

2:15 to 4:15

  1. A Hybrid Encryptions Scheme for Advanced Metering Infrastructure Networks.
  2. A Review of Wireless and Satellite-based M2M services in Support of Smart Grids.
  3. A new Algorithm and Routing Protocol based on Convolution Codes using TCNet: Trellis Coded Network

CC 203

 

 

12th July (Day 2)

Time

 

Room

8:30 to 9:00

Registration

CC 201

9:15 to 10:00

Keynote Speaker

Dr. Latif Ladid

IPv6-based IoT and Impact on Smart Grid

CC 201

10:00 to 10:15

Coffee Break

 

10:15 to 12:00

  1. A Low-Complexity C-RS-Aided Channel Estimation Scheme for LTE Downlink System
  2. Smart Home/Building Energy Management System for Future Smart Grid Architecture with Automated Demand Response Applications
  3. Viability of Fog Methodologies in IoT aware Smart Grid Architectures Authors

CC 201

12:00 to 13:00

Lunch