Uncertainty Reasoning on Fuzziness and Randomness in Challenged Networks

Links in Challenged Networks, particularly in Delay Tolerance Networks, are mostly disconnected due to the mobility, fallibility and scarcity of nodes. Owing to its intermittent connectivity, there exists substantive uncertainty, in which fuzziness and randomness are the most important and fundamental. In this paper, in virtue of the relationship analysis between fuzziness and randomness, we discuss the uncertainty in Challenged Networks. An approach is proposed to describe the uncertainty reasoning by means of the intrinsically uncertainty on fuzzy reasoning and modeling the uncertain states on probability. Certainty theory supports the protocol design in a flexible and adaptive manner. Modeling associates fuzziness with randomness is a cross-discipline which provides a basis for the artificial intelligence of both logic and image thinking with uncertainty.