I
Ioanis Nikolaidis
Researcher at University of Alberta
Publications - 144
Citations - 1866
Ioanis Nikolaidis is an academic researcher from University of Alberta. The author has contributed to research in topics: Wireless sensor network & Wireless network. The author has an hindex of 19, co-authored 138 publications receiving 1617 citations. Previous affiliations of Ioanis Nikolaidis include Georgia Institute of Technology.
Papers
More filters
Journal ArticleDOI
Smart homes and home health monitoring technologies for older adults: a systematic review
Lili Liu,Eleni Stroulia,Ioanis Nikolaidis,Antonio Miguel-Cruz,Antonio Miguel-Cruz,Adriana Maria Rios Rincon,Adriana Maria Rios Rincon +6 more
TL;DR: The level of technology readiness for smart homes and home health monitoring technologies is still low and the highest level of evidence found was in a study that supported home health technologies for use in monitoring activities of daily living, cognitive decline, mental health, and heart conditions in older adults with complex needs.
Proceedings ArticleDOI
A New Aggregate Local Mobility (ALM) Clustering Algorithm for VANETs
TL;DR: A beacon-based clustering algorithm aimed at prolonging the cluster lifetime in VANETs and incorporating a contention method to avoid triggering frequent re-organisations when two clusterheads encounter each other for a short period of time is presented.
Journal ArticleDOI
Aggregation convergecast scheduling in wireless sensor networks
TL;DR: This work proposes two new improvements to the problem of scheduling in wireless sensor networks for the purposes of aggregation convergecast, starting with a new lower bound on the schedule length in the tree construction phase.
Journal ArticleDOI
Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region
TL;DR: In this article, the authors describe a framework for sensor-based monitoring of energy performance of buildings under occupancy, where different types of sensors are installed at different locations in 12 apartment units in a building in Fort McMurray, Alberta, Canada.
Journal ArticleDOI
The Smart-Condo: Optimizing Sensor Placement for Indoor Localization
TL;DR: This work proposes a methodology for planning the deployment of an array of privacy-respecting binary motion sensors, and argues this methodology is a good surrogate for maximizing localization accuracy, and proves that it bears exploitable properties that make it receptive to a simple optimization routine.