Optimal proactive monitor placement & scheduling for IoT networks
Author:
Affiliation:
1. Faculty of Computers & Artificial Intelligence, Cairo University, Cairo, Egypt
2. LIRMM, Université de Montpellier, Montpellier, France
3. LIA, Université d’Avignon, Avignon, France
4. Nile University, Cairo, Egypt
Funder
the Agence Universitaire de la Francophonie (AUF) and Campus France
Publisher
Informa UK Limited
Subject
Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1992310
Reference47 articles.
1. An Energy Efficient Message Scheduling Algorithm Considering Node Failure in IoT Environment
2. Agrawal, S., Naidu, K. & Rastogi, R. (2007). Diagnosing link-level anomalies using passive probes. 26th IEEE International Conference on Computer Communications (INFOCOM 2007) (pp. 1757–1765).
3. The Resolution Complexity of Independent Sets and Vertex Covers in Random Graphs
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