Node Devices Research Articles

An efficient multilevel security architecture for blockchain-based IoT networks using principles of cellular automata.

The tremendous increase in the use of Internet of Things (IoT) has made an impact worldwide by changing the mode of day-to-day life. Like any other application, IoT based networks also have to be protected since the data produced consist of sensitive information. Existing algorithms for providing security in such networks do not consider all the security objectives. Starting from the sensing of data from IoT environment, the data have to be protected from several types of attacks. Also, the authentication of involved entities, integrity of data, access control and confidentiality are to be achieved. This work proposes a novel security architecture for IoT based distributed applications. The architecture uses the best known lightweight cipher ChaCha20. Principles of cellular automata are applied for random number generation to attain more security and randomness. Double encryption ensures multilevel protection of data during the data uploading and storing phases. Providing encryption based on dynamic session keys guarantees the security of the method. It also ensures secure data sharing, mutual authentication between communicating entities, fast execution, user authentication and message integrity. The IoT device connected to a gateway node has to complete registration phase successfully. Subsequently, each time a data transfer between the device and gateway node takes place, mutual authentication phase is executed. Blockchain network used at the edge level ensures authentication of participating nodes and hence, unintended modification of data is prevented. The proposed architecture proves to be efficient in terms of throughput, execution time and resistance to various security attacks.

A data plane security model of segmented routing based on SDP trust enhancement architecture

Segment routing (SR) technology is a new network functional technology derived from MPLS technology and based on SDN. Combining SR with software-defined perimeter (SDP), a new network security technology, is expected to solve the traditional problems such as data monitoring, denial of service, and new threats such as loop attack and label detection faced by SR data plane. Focusing on the security management of access devices in the SR data plane, first, this paper proposes an SR security model SbSR (SDP-based SR) based on SDP trust enhancement architecture, then, two-level SDP AH trust verification mechanism and 4 trust management mechanisms including initial trust value, trust evaluation, trust renewal, trust inheritance are designed. In the trust evaluation mechanism as the core of the model, System cloud grey model (1,1) weighted Markov prediction model is introduced to obtain real-time trust based on the historical behavior of device nodes, and 4 indexes, namely benign message ratio, loyal forwarding ratio, forwarding ratio stationarity coefficient, packet rate stationarity coefficient, are introduced to distinguish malicious devices from normal devices. Finally, the simulation test results of 5 security functions and security costs show that the proposed architecture can solve port scanning, traffic monitoring, topology detection, loop attack, and DoS attack of SR network data plane with an average access delay cost of 2.84 s for each new network agent, and realize multi-faceted protection of SR network data plane.

MANET Proactive and Reactive Routing Protocols

A group of wireless nodes forms a configuration that is linked to a remote medium forming dynamic topology. A routing protocol enables packets to travel from the sender to the destination via intermediate nodes. When a device or intermediate node delivers information to other nodes in an Ad hoc network, the node consumes some energy, and data transmission may be interrupted as all of the power is consumed. MANET is often power-driven devices, the difficult component in MANET is to lower the power consumption of energy by the intermediate devices in the network so that the network remains active at the time of data transmission. The characteristics, uses, and problems of MANET are described in this research. In addition, we look at the MANET routing protocols. The performance of alternative routing protocols, such as DSDV, AODV, AOMDV, and DSR, is then compared using performance measures. The NS2.35 simulator is used to conduct the performance assessment.

Node Screening Method Based on Federated Learning with IoT in Opportunistic Social Networks

With the advent of the 5G era, the number of Internet of Things (IoT) devices has surged, and the population’s demand for information and bandwidth is increasing. The mobile device networks in IoT can be regarded as independent “social nodes”, and a large number of social nodes are combined to form a new “opportunistic social network”. In this network, a large amount of data will be transmitted and the efficiency of data transmission is low. At the same time, the existence of “malicious nodes” in the opportunistic social network will cause problems of unstable data transmission and leakage of user privacy. In the information society, these problems will have a great impact on data transmission and data security; therefore, in order to solve the above problems, this paper first divides the nodes into “community divisions”, and then proposes a more effective node selection algorithm, i.e., the FL node selection algorithm based on Distributed Proximal Policy Optimization in IoT (FABD) algorithm, based on Federated Learning (FL). The algorithm is mainly divided into two processes: multi-threaded interaction and a global network update. The device node selection problem in federated learning is constructed as a Markov decision process. It takes into account the training quality and efficiency of heterogeneous nodes and optimizes it according to the distributed near-end strategy. At the same time, malicious nodes are screened to ensure the reliability of data, prevent data loss, and alleviate the problem of user privacy leakage. Through experimental simulation, compared with other algorithms, the FABD algorithm has a higher delivery rate and lower data transmission delay and significantly improves the reliability of data transmission.

Nanoprobing at Low Beam Energy, Addressing Current and Future Nodes

Abstract This article discusses the challenges associated with nanoprobing advanced technology node devices and explains how to optimize SEM images for beam voltages of 100 eV or less.

A Blockchain-Based Security Model for IoT Systems

The current Internet of Things (IoT) technology has entered a relatively mature development stage, and more and more IoT devices can readily access the Internet. However, along with this, the IoT system still faces fragile security of device nodes, easy data tampering, and low system stability. To this end, this paper proposes a smart contract-based security model for IoT systems. The proposal is based on the super ledger Fabric blockchain platform having decentralised, tamper-proof, and programmable features. These features achieve credible authentication of IoT device nodes on the one hand and tamper-proof data storage on the other hand. Further, with these features, we gain a trustworthy environment for enhancing the security of the whole IoT system.

LoRa Based Wireless Weather Station

This research creates a weather station prototype using LoRa wireless technology. The internet of things (IoT) system is supported by LoRa, a wireless networking technology. This technology is an alternative to existing wireless communication modules such as GSM modules, Wi-Fi modules, and Bluetooth modules (BLE). The LoRa network is used to extend the range of wireless cells, allowing them to reach distances of up to 10 kilometers while consuming very little power. End devices can be connected to hundreds of nodes using a single LoRa network cell. Temperature, humidity, air pressure, rain detection, and wind speed are among the weather data that are monitored. The Atmega 328 microcontroller, DHT11 sensor, BH1750, rain sensor, BMP180 sensor, ESP32, LoRa module, solar panel, and web application are all included in the prototype. The number of end device nodes created in one cell is three. As a consequence, the system will be able to work correctly. With several types of sensors attached, this system has the potential to be applied in both urban and rural locations. Data collected from the sensors are then stored into the Firebase real-time database, a cloud-hosted database, and a mobile application is developed using MIT App Inventor to show the real-time weather conditions of a particular region in an android mobile phone. Keywords: Internet of Things (IoT), LoRa, MIT App Inventor, Sensors, Weather Parameters and, Wireless Station.

A dual‐system trusted computing node construction method based on ARM multi‐core CPU architecture

SummaryComputer node security is the source and foundation of information system security. Trusted computing dual system architecture is an important implementation method to solve the security assurance by establishing the dual system of computing nodes, on the one hand, to achieve isolation on the other hand to achieve the active metrics of the system. This article systematically analyzes the dual architecture of trusted computing, summarizes the security assurance implementation of the dual architecture of trusted computing as the problem of trusted platform control module (TPCM) trusted root parallel access bus, and designs and implements it using ARM multi‐core CPU architecture, and designs the basic hardware security assurance capabilities such as TPCM resource isolation, active metrics, secure communication and other key components of trusted cryptography module and trusted software base based on it, thus implementing the two core mechanisms of trustworthy computing, namely, trust chain construction and dynamic metrics, are implemented. The design of system integration in computing node devices based on this ARM multi‐core CPU architecture is proposed, and the related design and implementation methods are proposed, and finally, the prototype implementation and test verification are performed on the Phytium CPU platform.

Mass Removal of Botnet Attacks Using Heterogeneous Ensemble Stacking PROSIMA classifier in IoT

In an Internet of Things (IoT) environment, any object, which is equipped with sensor node and other electronic devices can involve in the communication over wireless network. Hence, this environment is highly vulnerable to Botnet attack. Botnet attack degrades the system performance in a manner difficult to get identified by the IoT network users. The Botnet attack is incredibly difficult to observe and take away in restricted time. there are challenges prevailed in the detection of Botnet attack due to number of reasons such as its unique structurally repetitive nature, performing non uniform and dissimilar activities and invisible nature followed by deleting the record of history. Even though existing mechanisms have taken action against the Botnet attack proactively, it has been observed failing to capture the frequent abnormal activities of Botnet attackers .When number of devices in the IoT environment increases, the existing mechanisms have missed more number of Botnet due to its functional complexity. So this type of attack is very complex in nature and difficult to identify. In order to detect Botnet attack, Heterogeneous Ensemble Stacking PROSIMA classifier is proposed. This takes advantage of cluster sampling in place of conventional random sampling for higher accuracy of prediction. The proposed classifier is tested on an experimental test setup with 20 nodes. The proposed approach enables mass removal of Botnet attack detection with higher accuracy that helps in the IoT environment to maintain the reliability of the entire network.

Efficient LDPC Encoder Design for IoT-Type Devices

Low-density parity-check (LDPC) codes are known to be one of the best error-correction coding (ECC) schemes in terms of correction performance. They have been utilized in many advanced data communication standards for which the codecs are typically implemented in custom integrated circuits (ICs). In this paper, we present a research work that shows that the LDPC coding scheme can also be applied in a system characterized by highly limited computational resources. We present a microcontroller-based application of an efficient LDPC encoding algorithm with efficient usage of memory resources for the code-parity-check matrix and the storage of the results of auxiliary computations. The developed implementation is intended for an IoT-type system, in which a low-complexity network node device encodes messages transmitted to a gateway. We present how the classic Richardson–Urbanke algorithm can be decomposed for the QC-LDPC subclass into cyclic shifts and GF(2) additions, directly corresponding to the CPU instructions. The experimental results show a significant gain in terms of memory usage and decoding timing of the proposed method in comparison with encoding with the direct parity check matrix representation. We also provide experimental comparisons with other known block codes (RS and BCH) showing that the memory requirements are not greater than for standard block codes, while the encoding time is reduced, which enables the energy consumption reduction. At the same time, the error-correction performance gain of LDPC codes is greater than for the mentioned standard block codes.

In-depth feasibility study of extreme ultraviolet damascene extension: Patterning, dielectric etch, and metallization

While semiconductor logic device nodes keep moving to N3 and beyond, the backend of line (BEOL) metal pitch is aggressively scaling to improve device performance and density. BEOL damascene extension refers to interconnect with a full metal pitch of 26–21 nm. The challenges of damascene extensions are profoundly critical due to an extreme ultraviolet (EUV) single exposure limit, dielectric etch, and metallization challenges. Multipatterning is required as well as more advanced low K dielectric etch. Severe line wiggling, bad via/contact hole open, and via/trench short issue can easily be observed. Cu resistance also contributes to most of the device’s R/C delay. Before transitioning to subtractive metal integrations, there is no doubt that multipatterning damascene extension plays an important role in bridging the gap between them. In this work, we provide an in-depth feasibility study on damascene extension focusing on EUV self-aligned double patterning with cut and block assembly for 24 nm pitch line and space. EUV double patterned self-aligned via is also validated for the dual damascene test. Both continuous wave and quasiatomic layer etch are developed to achieve a wiggling-free, bridge-free, and high metal hard mask selectivity process in TEL’s new generation capacitively coupled plasma etchers. Copper metallization is demonstrated in both via and trench of a 24 nm pitch. This report provides an important insight into damascene extension feasibility for high volume manufacturing.

Computing offloading method with low power consumption constraint for smart grid

With the development of the Power Internet of Things, power transmission and transformation business have a wide range of operation, large regional differences, a wide variety of equipment and other problems, making the access and deployment of mass sensors with low power consumption crucial. In order to realize the cloud-side collaborative computing of the Internet of Things, it is necessary to build a low-power information acquisition and transmission network, and realize the low-power deployment of the low-power sensor network and equipment. The embedded node device can be used as the basis of low-power transmission network to realize low-power transmission of cloud-side collaborative computing information, combined with the existing low-power transmission and transformation equipment.

Machine Monitoring Protocols Based on Quality of Service (QoS) to Improve Performance of Real-Time Industrial Applications

A major factor in the optimization of real-time industrial applications is Quality of Service (QoS). There is also a quality-of-service parameter (QoS). Normally, dynamic networks require QoS settings for real-time applications. The industrial production environment is changing due to rapid advances in ICT. Industries have increased output due to improved manufacturing chain efficiency, flexibility, and security. Establishing a secure, reliable, and fast network in the sector is therefore critical. In industrial applications, data collection is an important factor to consider. Various routing methods exist for collecting data from industrial environments and sending it to processing. In this situation, the energy consumption of device nodes and data transmission delay are important factors to consider. This research proposes to construct an energy-efficient delay-aware WSN routing (EDR) protocol for defect detection. The clustering group optimal approach is used to identify which clusters should be selected. A modified task selection method is proposed to calculate the most efficient path between industrial areas and data centres (monitoring rooms). The node selection approach is used to find the network’s aggregate node. The Network Simulator (NS2) programmed is used to model the projected IEM-EDR system. The proposed Industrial Energy Monitoring-Energy-Efficient Delay-Aware Routing (IEM-EDR) system’s performance is compared to that of existing techniques in hop count, latency, energy consumption, throughput, and delivery rate.

Analysis of the Impact of Electrical and Timing Masking on Soft Error Rate Estimation in VLSI Circuits

Due to continuous CMOS technology downscaling, Integrated Circuits (ICs) have become more susceptible to radiation-induced hazards such as soft errors. Thus, to design radiation-hardened and reliable ICs, the Soft Error Rate (SER) estimation constitutes an essential procedure. An accurate SER evaluation is provided based on a SPICE-oriented electrical masking analysis, combined with a TCAD characterization process. Furthermore, the proposed work analyzes the effect of a Static Timing Analysis (STA) methodology and the actual interconnection delay on SER evaluation. An analysis of the generated Single Event Multiple Transients (SEMTs) and the circuit operating frequency that are related to the SER estimation is also discussed. Various benchmarks, synthesized utilizing a 45 nm and 15 nm technology, are employed, and the experimental results demonstrate the SER variation as the device node scales down.

A Comparative Analysis between Battery- and Solar-Powered Wireless Sensors for Soil Water Monitoring

Wireless sensor networks (WSN) have found wide applications in many fields (such as agriculture) over last few years, and research interest is constantly increasing. However, power supply to the sensor nodes remains an issue to be resolved. Batteries are usually used to power the sensor nodes, but they have a limited lifetime, so solar energy harvesters are a good alternative solution. This study provides a comparative analysis between battery and solar energy harvesters for sensor nodes used for soil water monitoring. Experimental results show that small-sized solar panels with low-power energy harvester circuits and rechargeable batteries distinctly outperform secondary batteries in outdoor and continuous-operation applications. The power level of the energy storage device of sensor node 1, which was powered by a small PV panel, remained constantly close to 90% for all days. The power of the other three nodes, which were powered by a rechargeable battery, was initially at 100% of the charge and gradually started to reduce. Sensor node 1 performed a total of 1288 activations during the experimental period, while sensor nodes 2 and 4 behaved satisfactorily and performed a total of 781 and 803 activations, respectively. In contrast, sensor node 3 did not exhibit the same behavior throughout the experiments.

A Concept for a Cloud-Driven Controller for Wireless Sensors in IoT Devices

The paper presents an optimization algorithm applied to a cloud-driven controller for wireless sensors in Internet of Things (IoT) devices. The experiment investigates operational duty cycle control and energy management of a wireless sensor node device powered by prediction from global solar irradiance in the environment. Rapid increases in the development and growth of smart technologies is placing greater demands on optimizing computing power. The study attempted to manage and optimize wireless terminals using methods to adjust work cycles and planning. The study's contribution is a simulated wireless environmental IoT sensor node and cloud controller implemented in Matlab. The simulation examined energy management and optimization, supplemented by prediction from data measured at different locations in the period 2016–2019. The experiment investigated suitable modes of operation of the device according to data updates in the cloud. The controller was based on the following parameters: state of energy storage, number of failures relative to correctly performed device cycles, and predicted values for charging energy storage from the cloud.

Smart streetlamps as part of a smart city approach in Macau

Smart cities are the mainstream trend of modern city development. With the promotion of the Guangdong-Hong Kong-Macau Greater Bay Area policies, Macau, as one of the four central cities in the Greater Bay Area, has pioneered the development of smart cities. The development goal of the smart city is to use modern electronic information technology to manage, coordinate, share efficiently, and interoperate the city's transportation, logistics, energy resources, and communication services. Comprehensive perception and information collection are the basis for its smart urban management. As one of the important node devices at the perception level of the smart city, smart street lights in Macau are not only the lighting infrastructure, but also include environmental monitoring, video surveillance, communication networks, Internet of Things, information interaction, charging piles and other economic functions of the people's livelihood. Under the above premise, this article discusses the urban policies, applications and prospects of smart streetlamps in Macau. At the same time, it compares the social nature and related policies of the mainland, analyzes the particularity of building smart streetlamps in Macau, and based on the application of smart streetlamps in Macau, propose optimization and development suggestions to promote the construction and development of Macau's smart city.

Enthusiasm Adeptness in Wireless Position finder Multiuse building Via Envelope Severe Technique

The wireless instrument complex is an ad – hoc network. It consists of small light weighted wireless nodes called device nodes. The systematic model that allows us to derive some correct results vis-à-vis energy consumption and difficulty. Also, some main contemplations about the application of the proposed technique in a real instrument network, i.e., by taking into account erasure channels, MAC- layer overhead, and actual computational properties of nodes. The effect of important parameters such as nodes’ concentration and program range through both extensive mockups and an methodical study of the trade-off between energy saving, convolution, and untrustworthiness of the proposed technique. A novel approach that splits the inventive messages into quite a lot of containers such that each node in the network will forward only small sub containers. The intense procedure is achieved applying the Packet Unbearable algorithm and the Chinese deposit proposition algorithm (CDP) which is characterized by a simple modular detachment between integers. The sink node, once all sub sachets is received correctly, will recombine them, thus reconstructing the original message. The excruciating process is especially helpful for those forwarding nodes that are more solicited than others due to their situation inside the network.

A Cloud Infrastructure for Large Scale Health Monitoring in Older Adult Care Facilities

Technology development in the sub-field of older adult care has always been on the back-burner compared to other healthcare areas. But with increasing life expectancy, this is poised to change. With the increasing older adult population, the current older adult care facilities and personnel are struggling to keep up with demand. To address this matter, we proposed a distributed system infrastructure that will enable large-scale monitoring of vital signals and early detection of emergency situations in nursing homes and assisted living communities in this study. The system is mainly comprised of node devices and cloud infrastructure. The node device collects data from multiple users and forwards this data to the cloud service. Communication between the vital-sensing devices on the users and the node device is accomplished using Bluetooth Low-Energy (BLE). The Node device is implemented on a Raspberry Pi Model 3b+ which has built-in BLE capability. A cloud server consists of back-end and front-end components. The back-end handles all the data processing and logical decisions that drive the front-end. The front-end is the interface provided to the end-users, which can monitor all patients in nursing homes at the same time. We examined our system in terms of scalability, real-time operation, cost, and usability and then found that our system provides not only a smart remote monitoring solution that can provide a better aging experience for older adults and their families, but also increase automation in nursing homes leading to a reduction in running cost and an increase in capacity.

Study on the improvement of the device for cleaning low-grade cotton with high- moisture

This article analyzes the importance of the process of ginning cotton with high pollution before ginning, the operation of the ginning device before ginning, the impact of the device nodes with the raw cotton. At the same time, the cleaning efficiency of the machine in the cleaning equipment from small and large contaminants, the basic control developments and calculation processes in the selection of the technological parameters of the cleaners are considered. It was suggested and analyzed that before the cotton was ginned, the cleaning device should be replaced with cone-tipped piles and a new belt extension to remove impurities instead of fine-grained drum piles. The impact strength and impact of the proposed conical-tipped pile drums on cotton have been studied.