Deep Reinforcement Learning–Based Online One-to-Multiple Charging Scheme in Wireless Rechargeable Sensor Network by Zheng Gong, Hao Wu, Yong Feng, Nianbo Liu

“…Wireless rechargeable sensor networks (WRSN) have been emerging as an effective solution to the energy constraint problem of wireless sensor networks (WSN). However, most of the existing charging schemes use Mobile Charging (MC) to charge nodes one-to-one and do not optimize MC scheduling from a more comprehensive perspective, leading to difficulties in meeting the huge energy demand of large-scale WSNs; therefore, one-to-multiple charging which can charge multiple nodes simultaneously may be a more reasonable choice. …”
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Enhanced Black Widow Optimization With Hybrid Deep Learning Enabled Intrusion Detection in Internet of Things-Based Smart Farming by Rua Y. Aburasain

“…This aggregates the benefits of any computing technologies, like wireless sensor networks (WSN), drones, Internet of Things (IoT), remote sensing, etc. …”
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اقتراح طريقة فعالة لترتيب عملية الدخول للوسط لشبكات الحساسات اللاسلكية ذات بنية شجرة العناقيد والعاملة بالمعيار IEEE 802.15.4/Zig Bee حسب عامل الأولوية... by جمال خليفة, معين يونس, شذا جرعا

“… Wireless sensor networks became very common  in many different sides of  life, networks which have cluster tree topology with IEEE802.15.4/ Zig Bee shows high affection in many applications industrial ,healthy ,agricultural  and work is still progressive to improve performance of these networks and rise services quality. …”
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Continuous energy consumption measure approach using a DMA double-buffering technique by Daniel Vaquerizo-Hdez, Pablo Muñoz, David F. Barrero, Maria D. R-Moreno

“…We have validated our approach by measuring the energy consumed by elemental circuits and wireless sensors networks (WSNs) motes. The results indicate that the energy measurement error is less than 5% and that the proposed method is suitable to measure WSN motes even during sleep cycles, enabling a better characterization of their consumption profile.…”
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DNN-MVL: DNN-Multi-View-Learning-Based Recover Block Missing Data in a Dam Safety Monitoring System by Yingchi Mao, Jianhua Zhang, Hai Qi, Longbao Wang

“…The successive missing data takes the side effects on the accuracy of real-time monitoring as well as the performance on the data analysis in the wireless sensor networks. Unfortunately, existing solutions to the missing data filling cannot well uncover the complex non-linear spatial and temporal relations. …”
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An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture by Khalid Haseeb, Ikram Ud Din, Ahmad Almogren, Naveed Islam

“…Wireless sensor networks (WSNs) have demonstrated research and developmental interests in numerous fields, like communication, agriculture, industry, smart health, monitoring, and surveillance. …”
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Strength of Crowd (SOC)—Defeating a Reactive Jammer in IoT with Decoy Messages by Savio Sciancalepore, Gabriele Oligeri, Roberto Di Pietro

“…It is worth noting that SoC could be adopted in several wireless scenarios; however, we focus on its application to the Wireless Sensor Networks (WSN) domain, including IoT, Machine-to-Machine (M2M), Device-to-Device (D2D), to name a few. …”
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Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid by Emmanuel Ogbodo, David Dorrell, Adnan Abu-Mahfouz

“…This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. …”
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An efficient task offloading method for drip irrigation and fertilization at edge nodes based on quantum chaotic genetic algorithm by Jiawei Zhao, Xiang Liu, Min Tian

“…Minimizing the offloading latency of agricultural drip irrigation and fertilization tasks has long been a pressing issue in agricultural drip irrigation and fertilization wireless sensor networks (AIFWSNs). The introduction of edge computing as a robust and practical aid to cloud computing in AIFWSNs can significantly improve the execution speed of agricultural drip irrigation and fertilization tasks and effectively reduce the task offloading latency. …”
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Probabilistic neural network-based diagnosis of blockage faults in air conditioning and refrigeration units by Wang Yujie

“…The traditional fault diagnosis system for refrigeration units, which generally uses wireless sensor networks to transmit data, is a challenge because of its slow diagnosis speed and the low accuracy rate of fault diagnosis for refrigeration units. …”
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An Efficient Transmission Scheme for DCSK Cooperative Communication Over Multipath Fading Channels by Pingping Chen, Yi Fang, Guojun Han, Guanrong Chen

“…Overall, the PS-CC appears to be a desirable cooperative scheme for those applications featured by high-data-rate, low-power, and low-complexity, such as wireless sensor networks using the transmitted reference UWB technique.…”
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A secure and dependable trust assessment (SDTS) scheme for industrial communication networks by Tayyab Khan, Karan Singh, Khaleel Ahmad, Khairol Amali Bin Ahmad

“…Abstract Due to tamper-resistant sensor nodes and wireless media, Industrial Wireless Sensor Networks (WSNs) are susceptible to various security threats that severely affect industrial/business applications. …”
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Toward Security Enhanced Provisioning in Industrial IoT Systems by Sungmoon Kwon, Jaehan Jeong, Taeshik Shon

“…Through the active development of industrial internet of things (IIoT) technology, there has been a rapid increase in the number of different industrial wireless sensor networks (IWSNs). Accordingly, the security of IWSNs is also of importance, as many security problems related to IWSN protocols have been raised and various studies have been conducted to solve these problems. …”
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SLEC: A Novel Serverless RFID Authentication Protocol Based on Elliptic Curve Cryptography by Rania Baashirah, Abdelshakour Abuzneid

“…Internet of Things (IoT) is a new paradigm that has been evolving into the wireless sensor networks to expand the scope of networked devices (or things). …”
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Simplified Agent-Based Resource Sharing Approach for WSN-WSN Interaction in IoT/CPS Projects by Gungor Yildirim, Yetkin Tatar

“…This paper focuses on the problem of interoperability and resource sharing in wireless sensor networks (WSNs) running under the Internet of Things (IoT) and cyber-physical systems (CPSs). …”
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An On-Site-Based Opportunistic Routing Protocol for Scalable and Energy-Efficient Underwater Acoustic Sensor Networks by Rongxin Zhu, Xiwen Huang, Xiangdang Huang, Deshun Li, Qiuling Yang

“…With the advancements in wireless sensor networks and the Internet of Underwater Things (IoUT), underwater acoustic sensor networks (UASNs) have attracted much attention, which has also been widely used in marine engineering exploration and disaster prevention. …”
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Research on Resource Efficiency Optimization Model of TDMA-Based Distributed Wireless Ad Hoc Networks by Xin Tong, Xu Li, Ying Liu

“…Because of networking flexibility, strong robustness and expansibility, and low cost of operation and maintenance, distributed wireless ad hoc networks are widely used in ultra-density 5th-Generation (5G) networks, Device to Device (D2D) communications and industrial wireless sensor networks. However, compared with the centralized ones, the Time Division Multiple Access(TDMA)-based distributed network lacks centralized coordination by a control center, while its resource scheduling only depends on partial information, and the high receiving failure probability caused by neighbors' cumulative interference outside the scope of maintenance may reduce the resource efficiency and restrict its usability according to the existing protocols severely. …”
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استخدام الشبكات العصبونية في شبكات الحساسات اللاسلكية by جمال خليفة, مهند عيسى

“…The big similarities between Artificial Neural Networks and Wireless Sensor Networks led some researchers to the idea of combining these two technologies together, but limited sensor recourses didn’t encourage to actually perform it, however recent researches show that in a special situations and in many applications Some algorithms developed within Artificial Neural Networks (ANN) and other Artificial Intelligence AI   technologies Like Fuzzy Logic Genetic Algorithms May easily work in WSN,  also the great objectives  of ANN may be very useful to improve the performance of WSN and to perform tasks that couldn't be done by classical methods. …”
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A comprehensive meta-analysis of emerging swarm intelligent computing techniques and their research trend by Preeti Monga, Manik Sharma, Sanjeev Kumar Sharma

“…The findings indicate that these methods are widely used to solve different problems viz: image segmentation, optimal power flow, air pollution forecasting, drug design, wireless sensor networks, disease diagnosis, transport, and routing. …”
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Enhanced group communication in constrained application protocol–based Internet-of-things networks by Hyung-Woo Kang, Seok-Joo Koh

“…The existing multicast-based group communication may be efficient, but not reliable in wireless sensor networks. The existing unicast-based group communication is reliable, but it tends to give low performance. …”
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