%0 Conference Proceedings
%T Hybrid Wireless Sensor Networks: A Prototype
%+ German Jordanian University (GJU)
%+ Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome] (UNIROMA)
%+ University of Kentucky (UK)
%+ Arab Robotics and AI Association
%+ King Abdullah II Design and Development Bureau (KADDB)
%A Khalifeh, Alá
%A Bartolini, Novella
%A Silvestri, Simone
%A Bongiovanni, Giancarlo
%A Al-Assaf, Anwar
%A Alwardat, Radi
%A Alhaj-Ali, Samer
%Z Part 8: Demonstrations and Installations
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Paphos, Cyprus
%Y David Lamas
%Y Fernando Loizides
%Y Lennart Nacke
%Y Helen Petrie
%Y Marco Winckler
%Y Panayiotis Zaphiris
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2019
%V LNCS-11749
%N Part IV
%P 549-553
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-29390-1_35
%K Wireless sensor networks (WSN)
%K Unmanned Ground Vehicle (UGV)
%K Unmanned Aerial Vehicle (UAV)
%K Remote monitoring
%K Decision making
%Z Computer Science [cs]Conference papers
%X Wireless sensor networks (WSNs) are widely used to assist monitoring of an area of interest whenever manual monitoring by skilled personnel is not convenient if not prohibitive. In this paper, we propose a step ahead with respect to the current status of art, with the design and implementation of a novel networked architecture which integrates a set of static ground nodes, an Unmanned Ground Vehicle (UGV), and an Unmanned Aerial Vehicle (UAV) in a unique monitoring system. All these devices are equipped with sensors, a microcontroller and a wireless communication module such that they are capable of covering an AoI in the terrestrial and aerial dimension. In the proposed architecture, the mobile robot can inspect areas which have no fixed ground sensors, whereas sensors installed on the UAV cover the ground areas from above, ensuring wider coverage. Once data is collected by the ground sensors, it is sent via the UAV to a remote processing center, which elaborates the gathered data for decision making.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-02877643/document
%2 https://inria.hal.science/hal-02877643/file/488595_1_En_35_Chapter.pdf
%L hal-02877643
%U https://inria.hal.science/hal-02877643
%~ LORIA2
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-11749