Presenter Information

Yara Mahfood HaddadFollow

Advisor Information

Hesham Ali

Location

UNO Criss Library, Room 231

Presentation Type

Oral Presentation

Start Date

2-3-2018 3:00 PM

End Date

2-3-2018 3:15 PM

Abstract

The rapid development of smart devices and wireless sensors is having a major impact on many scientific disciplines as well as on many real world applications. An essential aspect of deploying sensors and devices in various application domains is to be connected to the Internet forming the so called Internet of Things (IoT). Having access to the massive public data and various types of information is critical to the cognitive functionality of such “Things” Connecting the devices/sensors to each other efficiently in a given environment is highly desirable as well since their functionality in most cases do overlap. Hence, there is a need for protocols to manage wireless devices in a seamless, organic and adaptive way. The focus of this work is to develop new evolutionary approaches for efficiently managing large-scale IoT networks composed of heterogeneous wireless sensors/devices in urban environments such as homes, hospitals, stores and industrial compounds.

COinS
 
Mar 2nd, 3:00 PM Mar 2nd, 3:15 PM

An Evolutionary Approach for Managing Heterogeneous IoT Networks

UNO Criss Library, Room 231

The rapid development of smart devices and wireless sensors is having a major impact on many scientific disciplines as well as on many real world applications. An essential aspect of deploying sensors and devices in various application domains is to be connected to the Internet forming the so called Internet of Things (IoT). Having access to the massive public data and various types of information is critical to the cognitive functionality of such “Things” Connecting the devices/sensors to each other efficiently in a given environment is highly desirable as well since their functionality in most cases do overlap. Hence, there is a need for protocols to manage wireless devices in a seamless, organic and adaptive way. The focus of this work is to develop new evolutionary approaches for efficiently managing large-scale IoT networks composed of heterogeneous wireless sensors/devices in urban environments such as homes, hospitals, stores and industrial compounds.