Research on Fuzzy Knowledge Processing for Routing Algorithm in Mobile Peer-to-Peer Networks

Due to the variable and dynamic characteristics in mobile P2P networks, and frequently movable mobile users, the routing information generated by mobile agents based on cooperation is uncertain, non real-time and fuzzy. Moreover, the indirect route information obtained by exchanging is fuzzier and more incomplete, even fraudulent. To solve this problem, the fuzzy knowledge processing for routing algorithm and a cooperation model using fuzzy knowledge reasoning for mobile agents in mobile P2P networks are discussed and designed. Furthermore, an algorithm which can analyze and filter the valuable data from the fuzzy information carried by mobile agents is proposed, through using the methodology of fuzzy knowledge processing. So the algorithm can find the correct network information which can reflect the real network and can be used by mobile nodes and mobile agents. The analysis and experiment results of this paper show that the proposed algorithm can reduce the average end-to-end delay and routing overhead, and increase the packet delivery fraction and number of mobile nodes establishing the connectivity. It also can deal with the fuzzy and uncertain routing information of mobile agent, and improve the routing algorithm performance significantly.