Current Issue : January-March Volume : 2023 Issue Number : 1 Articles : 5 Articles
A wireless traffic sensor network refers to the development of low-power and low-cost traffic sensors on both sides of the vehicle and road. The ability of self-organizing nodes is used to automatically create a network for real-time and accurate monitoring, identification, and monitoring of vehicles, to obtain complete road traffic information of the entire road network for traffic decision-making, and to facilitate the flow of people. This paper aims to study an intelligent traffic detection system based on a wireless sensor network, which collects real-time data information through sensor nodes and uses the wireless network to transmit the data information to the platform for monitoring so that the driver can understand the road in real time from a long distance Information and effective road safety guarantees. This paper firstly summarizes the wireless sensor network and data image aggregation technology, then experimentally explores the data collection planning based on the spatial self-association model, and secondly designs the wireless traffic sensor network design. Through comparative analysis of traffic flow, the experimental results show that the accuracy of using wireless traffic sensors is as high as 97%. It shows that the wireless traffic sensor improves the transmission efficiency and the ability of the network to pass....
Judging from the current online teaching practice of higher physical education basic theory courses, there are many problems such as lagging theory, unclear models, confusing mechanisms, outdated methods, and lack of resources, resulting in the low interest of students. Basic theory courses are studied. The phenomenon of skipping class and being late is common, which seriously affects the improvement of the comprehensive quality of physical education students. Therefore, it has become an urgent problem for the majority of higher sports workers to develop learning resources for basic physical education courses and realize the innovation and application of the teaching mode of higher sports online courses. Compared with the traditional teaching method, the students’ physical education teaching performance is improved by about 30%, and their personality is fully developed. Linking teacher performance to changes in student performance parameters can effectively improve teacher motivation. This shows that under the background of intelligent sensor network, the physical education network course can effectively improve the teaching efficiency....
The purpose is to conform to the development of the times and study a new way of urban community network governance. First, the ways of governance, social governance, urban community governance, and urban community network governance are discussed. Next, the intelligent sensor function of Internet of things (IoT) technology is applied to realize the communication between IoT and urban community network governance. An urban community network governance system based on an intelligent sensor network is established. The system combines Kalman filtering to realize the dynamic monitoring of the mobile Application (APP) of the urban community residents and can update and process the collected information in real time. Finally, a survey is conducted on the satisfaction of residents of a community in Jiaozuo City, Henan Province, in 2019 on community network governance under the IoT. The efficiency and ability of urban community network governance under different network modes are compared and analyzed. The results show that the community has improved the needs of community residents through IoT network governance in multiple aspects, but the community service level of culture is not high. The community needs to strengthen the network publicity of community culture to improve the cultural level of the community. Meanwhile, in urban community governance, the comprehensive governance ability of the network governance model under network organization management is the highest, with an average of 50.93%. It shows that the established system is beneficial to the construction of urban community network governance. This exploration provides the direction for the IoT urban community network governance and constructs the urban community network governance system based on the intelligent sensor network....
How to design an effective and secure user authentication scheme suitable for complex wireless sensor network (WSN) environments has very important research significance. Based on the genetic algorithm theory, the paper constructs the security situational awareness model of wireless sensor network, and studies the WSN user security authentication scheme. The model uses the genetic algorithm extraction technology combined with the hash function to generate the biometric key, which solves the data accuracy problem of network security situational awareness: the user’s biometric key is obtained through the fuzzy extraction technology; the resistance of the node is to be attacked, but it is powerless when most of the nodes are broken, and it limits the scalability of the network. During the simulation process, the authentication of the identity of the cluster head by the base station is added in the topology establishment stage, and a one-way hash function and a shared key are added to the key management, so that the encryption key and the authentication key change periodically and dynamically, so that enhanced network communication security. The analysis results show that the protocol is feasible. The algorithm proposed in this paper reduces about 70% of the features in the original feature set, the classification detection rate is increased from 95.7212% to 97.7379%, and the false alarm rate is reduced from 7.9427% to 3.1072%, effectively improving the balance between safety and design cost....
Zigbee is a very popular technology for Internet of things (IoT) networks mainly because of its low power consumption and lowcost features. It shares the unlicensed 2.4 GHz Industrial, Scientific, and Medical (ISM) radio band with other wireless networks such as Wi-Fi. Usually, Zigbee and Wi-Fi networks coexist in indoor environments for their respective applications. Hence, the coexistence introduces interference for both types of networks lowering the performance of the networks, but Zigbee suffers more significant performance losses because of its lower transmission power than Wi-Fi. Since the number of IoTdevices is increasing at an unprecedented rate due to numerous emerging applications and thus making the indoor environments very populous, the peaceful coexistence between Zigbee and Wi-Fi networks in proximity becomes an important research study. For this purpose, this paper presents a comprehensive performance study of a Zigbee network in the presence of a Wi-Fi interference network in a real-life apartment-based indoor environment where Wi-Fi access points of dense neighbors exist.Theexperiments were done in a XBee module-based Zigbee network for measuring the received signal strength indicator (RSSI), packet drop rate (PDR), and loopback throughput with and without nearby Wi-Fi traffic introduced on purpose. Various networking parameters such as the operating channels, the distances between Zigbee devices and Wi-Fi devices, the transmit timeout of Zigbee packets, and the transmission power of the Zigbee transmitter have been used in the experiments to study the network performance. Our results show that in the deployment of IoT networks in a smart home, radio interference from neighboring homes would not be an important factor, but serious considerations may need to be taken inside the same home. The experimental observations of this paper can serve as a good reference study for Zigbee network deployments in real indoor environments, particularly when interference sources are present in proximity....
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