Based on the research and analysis of traffic detectors, it is found that the existing vehicle detection equipment is generally vulnerable to environmental interference and the detection effect cannot meet the current traffic demand. Therefore, an automatic detection method of traffic flow parameters based on symmetrical difference was put forward. This method collects the traffic flow parameters through wireless sensor nodes. Since the safety transmission protocol of VANET (Vehicular Ad Hoc Networks) can maximize the safety channel capacity, it transmits the traffic flow parameters to the data acquisition and control equipment of the upper computer through the cross layer pre-balanced safety transmission protocol of VANET in the wireless communication unit. The data acquisition and control equipment of the upper computer uses the traffic flow detection method based on the symmetrical difference to obtain the details of the moving objects in the traffic flow so as to realize the independent detection of the traffic flow parameters of the vehicle-borne sensor equipment. Experimental results show that the designed method has anti-interference abilities for the noise and light changes. Meanwhile, this method can completely extract moving objects from the traffic flow and can improve the detection effect of the moving objects in the traffic flow. Thus, the effectiveness of the proposed method can be fully verified.
Secure communication in wireless sensor networks (WSNs) is a challenging problem due to the scale and resource limitations. This means that most existing security protocols such as cryptography are not applicable in WSNs. However, more recent researches argue that encryption based on compressed sensing (CS) has the inherent advantage for security. And a measurement matrix used for sensing is usually constructed by a secret key. But establishment and assignment of the secret key is very difficult for wireless scenarios. In this context, we propose a security scheme for WSNs, which allows two legitimate nodes to establish a common secret key by exploiting joint channel characteristics of wireless channel. These characteristics between any two nodes are unique, unpredictable and decor relating rapidly in space. The established keys can then be used to construct measurement matrix and reconstruction matrix for the two nodes respectively. For improving bit rate and agreement of secret keys, some methods are also proposed in the paper. Analysis and simulation results show that, our proposed scheme ensures a high level of security for WSNs and also has the advantage of low computability complexity.
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