Current Issue : October-December Volume : 2023 Issue Number : 4 Articles : 5 Articles
Wireless communication integration is related to many challenges such as reliability, quality of service, communication range, and energy consumption. As the overall performance of wireless sensor networks (WSN) will be improved if the capacity of each sensor node is optimized, several techniques are used to fine-tune the various circuits of each node. In recent works, the wakeup receiver nodes have been introduced to minimize latencies without increasing energy consumption. To overcome the sensitivity of wake-up receiver limitations, a design of a low-noise amplifier (LNA) with several design specifications is required. This article discusses the relevance of the wake-up receiver in WSN applications and provides a brief study of this component. An LNA design for WSN wake-up receiver applications is presented. The challenging task of the LNA design is to provide equitable trade-off performances such as noise figure, gain, power consumption, impedance matching, and linearity. The LNA circuit is designed for wireless personal area network (WLAN) standards utilizing RF-TSMC CMOS 0.18 μm. Two innovative techniques are applied to the LNA topology to improve its performance: forward body biasing is used to reduce power consumption by 11.43mW, and substrate resistance is added to reduce noise by 1.8 dB. The developed LNA achieves a noise figure of 1.6 dB and a power gain of 21.7 dB at 5.2 GHz. At 0.6 V, the designed LNA dissipates 0.87 mW....
A measurement matrix is essential to compressed sensing frameworks. The measurement matrix can establish the fidelity of a compressed signal, reduce the sampling rate demand, and enhance the stability and performance of the recovery algorithm. Choosing a suitable measurement matrix for Wireless Multimedia Sensor Networks (WMSNs) is demanding because there is a sensitive weighing of energy efficiency against image quality that must be performed. Many measurement matrices have been proposed to deliver low computational complexity or high image quality, but only some have achieved both, and even fewer have been proven beyond doubt. A Deterministic Partial Canonical Identity (DPCI) matrix is proposed that has the lowest sensing complexity of the leading energy-efficient sensing matrices while offering better image quality than the Gaussian measurement matrix. The simplest sensing matrix is the basis of the proposed matrix, where random numbers were replaced with a chaotic sequence, and the random permutation was replaced with random sample positions. The novel construction significantly reduces the computational complexity as well time complexity of the sensing matrix. The DPCI has lower recovery accuracy than other deterministic measurement matrices such as the Binary Permuted Block Diagonal (BPBD) and Deterministic Binary Block Diagonal (DBBD) but offers a lower construction cost than the BPBD and lower sensing cost than the DBBD. This matrix offers the best balance between energy efficiency and image quality for energy-sensitive applications....
Data fusion and privacy protection technologies are both the research focuses in the field of wireless sensor networks. When the sensor network is in a harsh environment, the sensor nodes will face the danger of malicious entity attack in the data fusion progress. The efficiency and privacy protection of sensor network data fusion are very important. The traditional data fusion privacy protection algorithm has the problems of low data fusion efficiency and low privacy protection level. These problems are to be solved in this study. An improved cluster-based privacy data aggregation (I-CPDA) is proposed, which combines data slicing and false interference data technology. The experimental results of the algorithm show that the data fusion accuracy of the I-CPDA algorithm increases faster than the traditional algorithm with the time interval increasing, and the highest value reaches 90.7%. The fusion accuracy of the traditional CPDA algorithm under the same environment is 68.7%. In the actual test, the interception success rate of the I-CPDA algorithm for data attacks reached 90.74%, while the traditional CPDA was only 76.66. In addition, when the number of nodes in the cluster is 15, the data traffic of the I-CPDA is 56, while the data traffic of the traditional CPDA algorithm in the same environment exceeds 200. Compared with the currently widely used traditional algorithms, the I-CPDA algorithm has obvious advantages in terms of fusion effect, privacy, and efficiency and can be put into practical application....
Physical terminals provide network services to upper-layer applications, but their limited memory and processing power make it challenging to perform security updates and patches, leaving them vulnerable to known security threats. Attackers can exploit these weaknesses to control the terminals and attack the network. To restrict unauthorized access to the network and its resources, appropriate access control mechanisms are necessary. In this paper, we propose a fine-grained access control method based on smart contracts (FACSC) for terminals in software-defined networking (SDN). FACSC utilizes the attribute-based access control (ABAC) model to achieve fine-grained control over terminal access networks. To ensure the security and reliability of access control policies and terminal-related attribute information, we utilize smart contract technology to implement the ABAC model. Furthermore, we leverage the programming protocol-independent packet processor (P4) to filter and forward packets in the data plane based on the packet option field, enabling rapid terminal access. Experimental results show that our proposed method achieves fine-grained secure authentication of terminals in SDN networks with a low authentication processing overhead....
Nowadays, in the context of smart city construction, the changes brought by the smart system to the city are not only material intelligence, but also because the smart system is completed by the cooperation of human wisdom and the wisdom of things, it is even more enhanced. There are various connections between people and people and cities. In this paper, the construction of urban parks, its management, and service requirements also show a trend of diversified development. However, some traditional urban parks cannot meet the new social needs. The application of smart park systems in their renovation is an important way for urban parks to rejuvenate and is an indispensable part of smart city construction. For urban parks, the upgrade of smartization in the traditional park model is not only an inevitable trend in the development of information technology but also an important direction for the future construction of parks. The purpose of this paper is to study and discuss the systematic methods applied by the smart park system in the renovation and renewal of urban parks, to discuss the common problems and solutions faced in the renovation and renewal of urban parks today, and to realize the renovation of the smart park system of urban parks. And by studying the application background, ways, and needs of the smart park system, it will carry out practical exploration on the renovation and renewal of Wuhan Jiefang Park. Through the analysis of the current situation of the Jiefang Park and the interpretation of the existing problems, special transformation is carried out under the guidance of the smart park system according to the existing problems, and the methods and systems of the application of the smart park system are summarized through practice. From a practical point of view, the update design strategy proposed in this paper is tested....
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