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In recent years, there has been a significant advancement in memristor-based neural networks, positioning them as a pivotal processing-in-memory deployment architecture for a wide array of deep learning applications. Within this realm of progress,...

Accurate localization is one of the basic requirements for smart cities and smart factories. In wireless cellular network localization, the straight-line propagation of electromagnetic waves between base stations and users is called line-of-sight (LOS) ...

The energy-harvesting sensor network is a new network architecture to further prolong the lifetime of sensor networks and enhance the quality of IoT services. Due to the inherent problems of energy-harvesting sensor networks, it is really hard to collect ...

The high spatial resolution and high displacement sensitivity of mmWave radar have significantly enhanced the performance of wireless sensing. However, improved sensing capabilities have also led to growing concerns about privacy leakage. Attackers can ...

Age of Information, which emerged as a new metric to quantify the freshness of information, has attracted increasing interests recently. To optimize the system AoI, most existing works try to compute an efficient schedule from the point of data ...

Relation Extraction (RE) task aims to discover the semantic relation that holds between two entities and contributes to many applications such as knowledge graph construction and completion. Reinforcement Learning (RL) has been widely used for RE ...

Handling huge IoT data is challenging for traditional sensor-cloud IoT systems, particularly for latency-sensitive and resource-heavy applications. To address this, we employ the IoT edge network, a novel IoT architecture where edge servers, located ...

As one of the most popular consumer electronics, Unmanned Aerial Vehicle (UAV) has the potential to assist User Equipment (UE) in the Internet of Everything. Mobile edge computing (MEC) is also an emerging technique that can provide sufficient computing ...

Due to the large volume of IoT data, conventional sensor network based and the cloud base IoT systems cannot handle latency-sensitive and resource-consuming IoT applications. Sensor networks do not have enough computation resources and also suffer from a ...

Multi-access Edge Computing (MEC) is an emerging computing architecture to release the resource burden of the centralized cloud and reduce the mobile application latency. Services management and MEC requests routing is a major problem in MEC systems. ...

Analysis of the spatial distribution law of burglary based on police big data and data mining technology, and visualization display based on GIS technology is a predictive policing model constantly explored by the police at home and abroad. With ...

The application of 5G technology has not only brought technical capabilities in terms of large bandwidth, low latency and wide coverage, but made the social security management of police department face a coexisted new pattern of opportunities and ...

The energy limitation of wireless sensors limits the lifetime of the traditional wireless sensor networks. The <b>Battery-Free Sensor Network (BF-WSN)</b> is a new network architecture proposed in recent years to address the limitation of wireless sensor ...

A new network architecture, named as RF-based battery-free sensor network, was proposed in recent years to overcome the lifetime limitation of traditional wireless sensor networks. In an RF-based battery-free sensor network, the battery-free nodes equip ...

Clustering ensemble algorithm is an effective way to improve the accuracy, stability and robustness of clustering results. It can get better results by fusing multiple homogenous or heterogeneous base clustering models. In this paper a clustering ...

Battery-Free Wireless Sensor Network (BF-WSN) is a newly proposed network architecture to address the limitation of traditional Wireless Sensor Networks (WSNs). The special features of BF-WSNs make the coverage problem quite different and even more ...

Duty-cycle scheduling is an effective way to balance energy consumptions and prolong network lifetime of wireless sensor networks WSNs, which usually requires a connected dominating set CDS to guarantee network connectivity and coverage. Therefore, the ...

The appearance of social networks provides great opportunities for people to communicate, share and disseminate information. Meanwhile, it is quite challenge for utilizing a social networks efficiently in order to increase the commercial profit or ...

A Wireless Sensor Network consists of a number of sensors. The energy of each sensor is limited which limits network lifetime. There are many existing energy efficiency algorithms to prolong network lifetime. Basically, there are two kinds of methods. One ...

The appearance of social networks provides great opportunities for people to communicate, share and disseminate information. Meanwhile, it is quite challenge for utilizing a social networks efficiently in order to increase the commercial profit or ...