This paper investigates how the communication architecture of a ground swarm of agents contributes to the survivability level when trying to solve the problem of survivable ground networks via UAV support. The paper considers the two most important conceptual communication architectures, infrastructure and adhoc, and compares the levels of survivability obtained by each of them when we use a mobility model for the UAVs which is based on evolutionary swarm intelligence. Results show that systems which operate in infrastructure mode tend to exhibit higher levels of survivability, which is somewhat counter-intuitive but can be explained through the way the mobility model implements the behavior of the supporting UAVs.
CITATION STYLE
Leu, G., & Tang, J. (2019). Comparison of infrastructure and adhoc modes in survivable networks enabled by evolutionary swarms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11655 LNCS, pp. 80–89). Springer Verlag. https://doi.org/10.1007/978-3-030-26369-0_8
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