A non-linear multi-objective technique for hybrid peer-to-peer communication. (English) Zbl 07830055
Summary: This work proposes a strategy management technique based on hybrid peer-to-peer communication system. The main techniques used in the P2PC are: (i) Multi-objective optimization, (ii) Game theory technique, (iii) Non-linear geometric programming, and (iv) Intuitionistic fuzzy logic. Multi-objective optimization is used to design multiple non-linear objective functions. Game theory is used to model the conflicting strategies of the nodes using payoff matrices. Non-linear geometric programming is used to estimate uncertainty related parameters. Intuitionistic fuzzy logic is used to reduce the imprecise parameters of the nodes with the support of some objective functions. The set of stated techniques gives effective mathematical modelling to analyze the conflicting situation of the nodes. Therefore, this modelling helps to derive intelligent communication between source and destination nodes. Mathematical analysis and simulation results are used to validate the P2PC method. The simulation results are achieved in the Lingo optimization simulator using the existing methodologies in terms of some performance metrics.
MSC:
| 90C29 | Multi-objective and goal programming |
| 91A10 | Noncooperative games |
| 90C70 | Fuzzy and other nonstochastic uncertainty mathematical programming |
Keywords:
game theory; nonlinear geometric programming; hybrid peer-to-peer network; multi-objective optimization; intuitionistic fuzzy logicReferences:
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