Due to development and extension of internet of things, mobile-hierarchy architecture was proposed for querying a deployed wireless sensor network in an intelligent transportation system. Secure handshake among nodes becomes an important part of an intelligent transportation system. The mobile node verifies the legitimacy of an ordinary sensor node over an insecure communication channel. Attribute set or information as important handshake factors and negotiate each other privately in local side. In this paper, a secure attribute matching handshake scheme which extends fuzzy information for mobile-hierarchy city intelligent transportation system is proposed.
Abstract-Network simulators, e.g., QualNet, have been widely used for the sake of cost efficiency in network model evaluation and testing. In order to evaluate and test the impacts of parameters on network models, massive simulations and result analysis are typically running repetitively in a sealed virtual environment per a non-real-time simulated clock, apart from real-time human interactions. The major drawback of this caustic approach is obvious in large-scale network simulations with long simulation time and hardware-in-the-loop accessories, when the result analysis must be adaptive to human factors in nowadays computer networks. In this paper, we design and implement an interactive real-time user interface (RTUI), which is a reliable human-in-the-loop framework that allows human users to dynamically modify the parameters of network model during the simulation process. With negligible delays and overhead, the impacts of parameter changing on network model can be actualized and measured at real time, rather than in a repetitive manner of the conventional approach, resulting in RTUI's time-efficiency and cost-efficiency in network protocol debugging and assessment.
In this work, we have studied the optimal spectrum sensing interval, which is the time between two consecutive spectrum sensing activities, such that the delay of the cognitive transmission is minimized. The throughput maximization of the cognitive radio is always a common goal of the researchers, which is keenly related to the delay of the cognitive transmission. Whereas the delay is mostly decided by the spectrum sensing interval for a given primary user (PU) channel. Therefore, we have studied the setting of the spectrum sensing interval to minimize the transmission delay of the secondary user (SU). Especially, the retransmission is considered, which deteriorates the delay of the cognitive transmission; however, neglected by the most studies. Finally, we provide both the optimal setting of the spectrum sensing interval and the numerical values.
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