Title :
An EFSM-based weighting method of state transition sequence of protocol
Author :
Juan You ; Junquan Li ; Song Xia
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
The problem of how to get an optimized decision sequence has been the key and fundamental problem in protocol development. It is important to research on weighting methods of protocol EFSM-based state transition sequence. This paper presents a weighting method on the base of system of the distinct representatives. Then derive representatives in mathematics to get weights. This one dimensional weighting method based on combinatory has a low complexity and wide adaptability.
Keywords :
combinatorial mathematics; computational complexity; decision theory; finite state machines; optimisation; EFSM-based weighting method; combinatory; complexity; extended finite state machine; mathematics; one dimensional weighting method; optimized decision sequence; protocol EFSM-based state transition sequence; protocol development; Protocol; System of the Distinct Representative (SDR); Weighting Method; the Extended Finite State Machine (EFSM);
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
DOI :
10.1049/cp.2012.2352
