TY - JOUR
T1 - Designing virus-resistant, high-performance networks
T2 - A game-formation approach
AU - Trajanovski, Stojan
AU - Kuipers, Fernando A.
AU - Hayel, Yezekael
AU - Altman, Eitan
AU - Van Mieghem, Piet
PY - 2018
Y1 - 2018
N2 - Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its cost in installing links, the probability of being infected by a virus and the sum of hopcounts on its shortest paths to all other nodes.
AB - Designing an optimal network topology while balancing multiple, possibly conflicting objectives like cost, performance, and resiliency to viruses is a challenging endeavor, let alone in the case of decentralized network formation. We therefore propose a game-formation technique where each player aims to minimize its cost in installing links, the probability of being infected by a virus and the sum of hopcounts on its shortest paths to all other nodes.
KW - Game theory
KW - Network design
KW - Network performance
KW - Networks of Autonomous Agents
KW - Virus spread
UR - http://www.scopus.com/inward/record.url?scp=85029178249&partnerID=8YFLogxK
UR - https://arxiv.org/abs/1708.05908
U2 - 10.1109/TCNS.2017.2747840
DO - 10.1109/TCNS.2017.2747840
M3 - Article
AN - SCOPUS:85029178249
VL - 5
SP - 1682
EP - 1692
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
SN - 2325-5870
IS - 4
M1 - 8023761
ER -