Lightweight Block and Stream Cipher Algorithm: A Review by Suaad Ali Abead, Nada Hussein M. Ali

“… Most of the Internet of Things (IoT), cell phones, and Radio Frequency Identification (RFID) applications need high speed in the execution and processing of data. this is done by reducing, system energy consumption, latency, throughput, and processing time. …”
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Multiobjectives for Optimal Geographic Routing in IoT Health Care System by K. Aravind, Praveen Kumar Reddy Maddikunta

“…In numerous internet of things (IoT) appliances, messages might require to be distributed to certain specified nodes or objects with the multicast transmission. …”
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Hybrid-chain-based supervision scheme for privacypreserving trading system by Xuedan JIA, Longxia HUANG, Pujie JING, Liangmin WANG, Xiangmei SONG

“…Due to its characteristics of decentralization, transparency, and security, blockchain technology is widely used in finance, the Internet of Things, and supply chain.However, along with the opportunities it brings, the application of blockchain technology also presents new challenges.On one hand, traditional centralized regulatory methods can undermine the decentralized and autonomous nature of blockchain, creating regulatory dilemmas.On the other hand, blockchain-based systems require privacy protection as transactions often contain sensitive information beyond currency amounts.Failure to protect privacy can result in information leakage and make it difficult for authorities to monitor transactions.To address these challenges and enable regulation in privacy-preserving blockchain-based trading systems, a hybrid chain framework was proposed.This framework incorporated a multiple committee-based approach for general cross-chain regulation.Separate committees were established for the supervision chain and service chain.The service chain committee handled service chain data, generating and sending proofs to the supervision chain to achieve private supervision.In addition to single-chain regulation, cross-chain communication committees and supervision committees collaborated to achieve cross-chain transaction supervision among different service chains.Through a security analysis, it is proven that the proposed scheme is secure when each module meets its security requirements.Experimental evaluations have been conducted to demonstrate the feasibility of the proposed scheme, showing that it achieves cross-chain supervision at a low cost and is scalable.…”
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Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations by Asaad Yaseen Ghareeb, Sadik Kamel Gharghan, Ammar Hussein Mutlag, Rosdiadee Nordin

“…This can be achieved by leveraging the Internet of Things (IoT) and advanced control technologies for better monitoring and managing irrigated farming. …”
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IoT in Action: Design and Implementation of a Building Evacuation Service by Selahattin Gokceli, Nikolay Zhmurov, Gunes Karabulut Kurt, Berna Ors

“…For real-life scenarios, the Evacuation Service is implemented by using a low-cost design, which is appropriate for Internet of Things (IoT) based BAS applications. As demonstrated, the proposed service model can provide effective performance in real-life deployments.…”
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Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
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Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs by Eun-Kyu Lee, Mario Gerla, Giovanni Pau, Uichin Lee, Jae-Han Lim

“…Like other important instantiations of the Internet of Things (e.g. the smart building), the Internet of Vehicles will have communications, storage, intelligence, and learning capabilities to anticipate the customers’ intentions. …”
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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). …”
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CSN: The Conceptually Manageable Sensor Network by Woojin Joe, Jonghyun Lee, Karpjoo Jeong

“…For those emerging applications such as Internet of Things, the flexible, scalable, and interoperable, collaborating sensor networks are crucial. …”
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Agent-Oriented Software Engineering Methodologies: Analysis and Future Directions by Reem Abdalla, Alok Mishra

“…The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. …”
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Application of IoT and Cloud Computing in Automation of Agriculture Irrigation by Khongdet Phasinam, Thanwamas Kassanuk, Priyanka P. Shinde, Chetan M. Thakar, Dilip Kumar Sharma, Md. Khaja Mohiddin, Abdul Wahab Rahmani

“…This paper analyzes a smart irrigation system that is based on the Internet of Things and a cloud-based architecture. This system is designed to measure soil moisture and humidity and then process this data in the cloud using a variety of machine learning techniques. …”
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Bifurcation of a Fractional-Order Delayed Malware Propagation Model in Social Networks by Changjin Xu, Maoxin Liao, Peiluan Li

“…In recent years, with the rapid development of the Internet and the Internet of Things, network security is urgently needed. …”
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Resource allocation scheme for IRS assisted heterogeneous SWIPT-NOMA system by JI Wei, LIU Ziqing

“…Considering the heterogeneity of users to be served (different receiver structures) and the diversity of service requirements in the future large-scale Internet of things, an IRS-assisted simultaneous wireless information and power transfer (SWIPT) non-orthogonal multiple access (NOMA) communication system model for heterogeneous scenarios where power splitting (PS) users and time switching (TS) users coexist was proposed. …”
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iotSilo: The Agent Service Platform Supporting Dynamic Behavior Assembly for Resolving the Heterogeneity of IoT by Euihyun Jung, Ilkwon Cho, Sun Moo Kang

“…Although a lot of researchers have painted a rosy picture of Internet of Things (IoT), there have been no widely accepted solution and related standards until now. …”
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Research Data Management Within the EU Data Policy Framework by Milčiuvienė Saulė, Amilevičius Darius, Raškinis Gailius

“…The Data Act primarily focuses on private sector data and facilitates data sharing across businesses and sectors, particularly in the domain of the Internet of Things, while promoting interoperability and fair contractual terms. …”
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Emergence of Turing Patterns in a Simple Cellular Automata-Like Model via Exchange of Integer Values between Adjacent Cells by Takeshi Ishida

“…In the field of information networks, the presented model could be applied to groups of Internet-of-Things devices to create macroscopic spatial structures to control data traffic.…”
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Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

“…With the rapid development of Internet of things and artificial intelligence technology, accurate analysis and prediction of traffic data have become the primary target of intelligent transportations.In recent years, the method of traffic forecasting has gradually changed from the classical model-driven type to the data-driven type.However, how to effectively analyze the spatial-temporal characteristics of road networks through big data is one of the key issues in the traffic prediction process.Spatiotemporal big data analysis is a powerful tool for the traffic prediction.The traffic network can be modeled as a graph network, while the deep learning method can be extended on the graph network.Utilizing graph neural networks, we can build the spatiotemporal prediction model, and obtain the spatial-temporal correlation between the sensor nodes in road networks effectively by using graph convolution, which can significantly improve the accuracy of traffic prediction models.The traffic forecasting technology driven by graph neural networks was explored, and two kinds of traffic prediction models based on the analysis of deep spatial-temporal characteristics were extracted.The actual cases were analyzed and evaluated to discuss the technical advantages and key challenges of graph neural networks in the traffic prediction.The potential issues of graph neural network driven prediction mechanisms were also excavated.…”
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Review of Data-driven Decision Support Systems and Methodologies for the Diagnosis of Casting Defects by A. Burzyńska

“…The digital transformation of traditional companies into innovative smart factories is made possible by the potential of Artificial Intelligence (AI), which is able to perform predictive analytics inspired by the development of Industrial Internet of Things (IoT) technologies or to support highly complex decision-making, in the era of zero-defect manufacturing. …”
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Implementing PMIPv6 Protocol Based on Extended Service Set for IEEE 802.11 Infrastructure WLAN by Deqing Zhu, Lin Xu, Yi-hua Zhu, Xianzhong Tian

“…With the popularity of IEEE 802.11 based wireless fidelity (Wi-Fi) portable devices, it becomes increasingly significant to support the mobile users carrying Wi-Fi devices to access the Internet of Things (IoT) so that the communications between the mobile users and the smart objects deployed in the IoT stay uninterrupted when the mobile users are in movement. …”
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Leveraging information and communication technologies for sustainable agriculture and environmental protection among smallholder farmers in tropical Africa by Patrick Ngulube

“…While advanced technologies like the Internet of Things (IoT), drones, and artificial intelligence have the potential to enhance agricultural productivity and environmental conservation, their adoption in tropical Africa is often hindered by challenges related to infrastructure and literacy. …”
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