C-BRAIN-2018-2019-3: Distributed Orchestration of Wireless Mobile Smart Cameras (Thesis proposal rehearsal)


C-BRAIN-2018-2019-3: Distributed Orchestration of Wireless Mobile Smart Cameras (Thesis proposal rehearsal)
Tue, 2. October 2018


Presenter: Godwyn Asaamoning Anuork, NEMPS PhD Student, Jr researcher


TITLE: Distributed Orchestration of Wireless Mobile Smart Cameras (Thesis proposal rehearsal)



Godwin Anuork Asaamoning is a junior researcher at SITI, COPELABS. He holds a Bachelor of Education degree in Information Technology from University of Education Winneba, Ghana, and a Master of Science degree in Information Technology from the Kwame Nkrumah University of Science and Technology (KNUST), also in Ghana. Currently, he is a PhD student in the New Media and Pervasive Systems Programme at Universidade Lusófona de Humanidades e Tecnologia in Portugal. His Thesis title; “Wireless Networking for Autonomous Mobile Smart Cameras.



Networked flying devices such as smart cameras equipped with sensors are increasingly being deployed to capture high quality video and images in real-time for civil applications, such as monitoring of fields, surveillance, and disaster management. They offer great autonomous conveniences to retrieve information from locations not easily accessible by human physical reach. However, the management and control of the networked flying smart cameras, comes with significant constraints in what concerns the retrieval of high quality video, and the control of a set of dynamic software agents, which need to coordinate their mission and flying formation aiming to cover a large area.

Networked smart cameras not only produce huge amount of data that needs to be transferred, stored and analyzed in real time, but also require fast communication for the coordination of their movement and position. Moreover, smart cameras may be constraint in energy. Hence computational efforts (e.g. flying control and video analysis) need to be shared and processed locally in order to conserve energy consumption for prolonged tasks. Latency reduction can also be achieved by anticipation, which requires the coordination of the different networked devices in the assessment of current conditions.

In this context, this thesis aims to investigate novel flying smart camera networked systems able of capturing and transmitting high quality images and video over large geographic areas. The focus of this research work is not on video rendering but on the investigation of advanced wireless networking approaches that comprises inter-vehicle communication, 5G networking and fog/edge computing.



Room U.02