TY - GEN
T1 - A decentralized deterministic information propagation model for robust communication
AU - Diaz, Christopher
AU - Nikolaev, Alexander
AU - Pasiliao, Eduardo
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - Many of the methods that are used to optimize network structure for information sharing are centralized, which is not always desirable in practice. Often, it is only feasible to have the communicating actors modify the network locally, i.e., without relying on the knowledge of the entire network structure. Such a requirement typically arises in establishing communication between actors (e.g., Unmanned Aerial Vehicles) that either do not have access to a central hub or prefer not to use this direct transmission channel even if available. This paper adopts an actor-oriented modeling approach to develop the Decentralized Deterministic Information Propagation (DDIP) model that enables the creation of networks that exhibit the properties desirable for efficient information sharing. Computational experiments showcase the ability of the DDIP model to form robust networks while being energy-conscious, i.e., without unnecessarily overloading any particular actor.
AB - Many of the methods that are used to optimize network structure for information sharing are centralized, which is not always desirable in practice. Often, it is only feasible to have the communicating actors modify the network locally, i.e., without relying on the knowledge of the entire network structure. Such a requirement typically arises in establishing communication between actors (e.g., Unmanned Aerial Vehicles) that either do not have access to a central hub or prefer not to use this direct transmission channel even if available. This paper adopts an actor-oriented modeling approach to develop the Decentralized Deterministic Information Propagation (DDIP) model that enables the creation of networks that exhibit the properties desirable for efficient information sharing. Computational experiments showcase the ability of the DDIP model to form robust networks while being energy-conscious, i.e., without unnecessarily overloading any particular actor.
KW - Communication networks
KW - Decentralized optimization
KW - Stochastic actor-oriented modeling
UR - https://www.scopus.com/pages/publications/85059080564
U2 - 10.1007/978-3-030-04648-4_20
DO - 10.1007/978-3-030-04648-4_20
M3 - Conference contribution
AN - SCOPUS:85059080564
SN - 9783030046477
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 235
EP - 246
BT - Computational Data and Social Networks - 7th International Conference, CSoNet 2018, Proceedings
A2 - Thai, My T.
A2 - Chen, Xuemin
A2 - Li, Wei Wayne
A2 - Sen, Arunabha
PB - Springer Verlag
T2 - 7th International Conference on Computational Data and Social Networks, CSoNet 2018
Y2 - 18 December 2018 through 20 December 2018
ER -