On the Weighted Cluster S-UAV Scheme Using Latency-Oriented Trust

Author:

Khayat Grace1ORCID,Mavromoustakis Constandinos X.1ORCID,Pitsillides Andreas2ORCID,Batalla Jordi Mongay3ORCID,Markakis Evangelos K.4ORCID,Mastorakis George5ORCID

Affiliation:

1. Department of Computer Science, Mobile Systems Laboratory, University of Nicosia, Nicosia, Cyprus

2. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

3. Department of Internet Architectures and Applications, Warsaw University of Technology, Warsaw, Poland

4. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Estavromenos, Greece

5. Department of Management Science and Technology, Hellenic Mediterranean University, Agios Nikolaos, Greece

Funder

European Union’s Horizon 2020 research and innovation programme

Polish Researchers through the Centre for Priority Research Area Artificial Intelligence and Robotics, Warsaw University of Technology, within the Excellence Initiative: Research University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference40 articles.

1. Localization and Clustering Based on Swarm Intelligence in UAV Networks for Emergency Communications

2. Communcation models for monitoring applications using wireless sensor networks;david,2004

3. A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

4. 3U: Joint Design of UAV-USV-UUV Networks for Cooperative Target Hunting

5. A survey on cluster head selection techniques;nimbalkar;Multidisciplinary Journal of Research in Engineering and Technology,2014

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