Internet Of Things Transmission Research Articles

Multilevel routing for data transmission in internet of things

Internet of things (IoT) is the network in which sensor nodes sense information and transmit sensed information to sink. The small size and far deployment of SN results in causing problems related to higher energy utilization. Many techniques have been proposed in the last years to improve lifetime of the network. The already developed methods are the clustering techniques which are path optimization algorithms. The virtual grid-based dynamic routes adjustment (VGDRA) is the protocol which is already been proposed to increase network’s duration. The VGDRA protocol improve life span but doesn't solve the issue of energy hole which affect network performance. This work aims to improvise the VGDRA algorithm to solve the power hole problem. The utilization of cache motes is done in the network and the sink will move energy to cache nodes for the data collection. MATLAB is executed to simulate the suggested model, and amount of dead motes, active ones and amount of packets, whose transmission is done to base station (BS).

Designing a Secure and Scalable Service Agent for IoT Transmission through Blockchain and MQTT Fusion

With the rapid development of the Internet of Things (IoT) in recent years, many IoT devices use communication systems to transmit data. Data packets are inevitably at risk of tampering during data transmission, which can lead to information errors and damage during communication. Since IoT terminals are often operated under human supervision, it is essential to improve and ensure the transmission of information, avoid data tampering, and ensure the accuracy of packet transmission. This research successfully improves the message transmission method of IoT communication and the communication model by combining it with blockchain architecture. Combining communication protocols with blockchain serial connections eliminates the need to control operating and managing processes. By replacing message transmission with coverage, the reliability of data transmission in the IoT communication system is improved, and the flexibility of the data transmission process is enhanced. Through practical verification through experimentation, the study successfully improved the incapability of effectively constructing a cross-coded message transmission mode in the Message Queuing Telemetry Transport (MQTT) communication protocol, removed a single layer of encryption rule, and created an encryption mode capable of providing complex arrangement organization.

Enabling The E-NOSE: Evaluating Network Technologies for Optimized Odor Data Transmission in IoT and Edge Computing Applications

Electronic Noses (e-noses) are advanced sensors that are being increasingly used in the Internet of Things (IoT) field. They have various applications in environmental monitoring and medical diagnostics. Optimal transmission of odor-related data is essential for fully harnessing the capabilities of these electronic noses in various network environments. This research paper examines the issue of transmitting odor data in Internet of Things (IoT) applications by assessing recent progress in communication and network technologies. A thorough analysis of various network alternatives, such as Ethernet, cellular (4G/5G), Wi-Fi, Bluetooth, Zigbee, and LoRa, is provided, accompanied by an elaborate table displaying precise technical specifications. The analysis of LoRa, a Low-Power Wide-Area Network (LPWAN) technology, encompasses an investigation into its architecture, modulation method, device classifications, and protocols such as LoRaWAN. The analysis of Edge Computing and cloud-based approaches for managing odor data in IoT culminates in a tabular presentation that succinctly outlines their advantages and disadvantages. This study provides valuable information to enhance the efficiency of transmitting odor data and effectively utilize electronic nose technology in different emerging applications in the Internet of Things (IoT) field.

Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment

The rapid proliferation of the Internet of Things (IoT) has revolutionized the field of status monitoring for electrical equipment such as hydropower station equipment, offering enhanced efficiency and reliability in maintenance and operations. In this paper, we investigate the utilization of IoT transmission technology enhanced by multiple relays, denoted as $M$ relays, to augment the monitoring of hydropower station equipment. To further optimize the performance of the system, we employ partial relay selection, commonly referred to as selection combining. This study delves into the analysis of the system performance by deriving analytical data rates, with a focus on quantifying the benefits of employing partial relay selection in IoT transmission for electrical equipment status monitoring. Our analytical approach enables a comprehensive evaluation of system efficiency, considering factors such as data rate, reliability, and power consumption. Through our analysis, we aim to provide valuable insights into the trade-offs and advantages of incorporating partial relay selection into IoT systems, ultimately assisting in the development of more effective and efficient solutions for status monitoring on electrical equipment. By examining the impact of $M$ relays and partial relay selection on IoT transmission technology, this research contributes to the ongoing efforts to enhance the reliability and robustness of status monitoring for electrical equipment, ultimately advancing the capabilities of IoT-based solutions in the context of electrical systems and equipment maintenance.

3S-ALDDT: A Triple Security Scheme for Authenticating Lightweight Devices and Securing Data Transmission in Internet of Things

3S-ALDDT: A Triple Security Scheme for Authenticating Lightweight Devices and Securing Data Transmission in Internet of Things

IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status

This paper presents a novel approach to monitoring the status of electrical equipment using Internet of Things (IoT) and relaying-aided transmission technologies, where data rate is used as a key metric for evaluating system monitoring performance. In this framework, relaying plays a pivotal role, enhancing the robustness and efficiency of data transmission in the monitoring process. We employ the optimal relay selection algorithms to identify and employ the most effective relay to assist in the transmission, thereby optimizing the communication link between the electrical equipment and the monitoring system. To provide a comprehensive understanding of the system's capabilities, we delve into the analytical aspects by deriving expressions for the data rate. These expressions offer insights into the theoretical performance limits and the factors influencing the efficiency of the system. The theoretical framework is further complemented by a series of simulations. These simulations validate the analytical models developed in the study, and provide practical scenarios to demonstrate the real-world applicability and effectiveness of the proposed IoT and relaying-aided transmission technologies in monitoring electrical equipment.

Towards Zero Blind-Zone Backscatter Communications: Real-Time System Design, Implementation, and Experimental Evaluation

Backscatter communication with amplitude modulation is promising in facilitating cost-effective and low-power transmission in Internet of Things (IoT). Various backscatter communication systems with amplitude modulation have been investigated in the latest work. One critical issue in the work is that only when the tag is placed in certain positions within the communication range can the system achieve good communication performance, where poor performance is seen in other blind zones. In this paper, we address the blind zone problem in backscatter communications with amplitude modulation and analyze the problem according to the Fresnel zone theory. We also design and implement realtime systems employing multi-antenna transmission and multi-receiver reception to deal with the blind zone problem. Experimental evaluation has verified that the multi-receiver reception can improve the communication coverage with greatly decreased blind zone and the multi-antenna technique can facilitate full backscatter communications with no blind zone.

Secure Data Transmission in IoT based on Optimization Based Routing Protocol for Wireless Body Area Networks

The security of Internet of Things (IoT) networks has become highly significant due to the growing number of IoT devices and the rise in data transfer across body area networks. The main purpose is to enhance the security level of data transmission between patients and health service providers by considering the availability of energy at sensor nodes through the Wireless Body Area Network. Energy efficiency is considered a foremost challenge to increase the lifetime of a network. To deal with energy efficiency, one of the important systems is selecting the relay node, which can be modeled as an optimization problem. This research proposes the patient health collected data are needed for transmission in IoT-Patient Care Monitoring (PCM) based on the Optimized Routing Protocol along WBANs. The proposed model focuses on a routing mechanism that makes use of an Optimization Routing-based Algorithm along with the relay node selection based on distances and residual energies. DO NOT USE SPECIAL CHARACTERS, SYMBOLS, OR MATH IN YOUR TITLE OR ABSTRACT.

Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

Reliable and energy-efficient wireless transmission is of critical importance to the success of future advanced Internet of Things (IoT). Due to the sporadic nature of IoT transmissions, the energy consumption of the individual IoT transmission session varies dramatically with the instantaneous operating environment as well as the quality of service (QoS) requirements. In this paper, we analyze and design the energyefficient relay transmission systems from an individual data transmission session perspective. Specifically, we consider a dualhop transmission system with a decode-and-forward relay that is solely powered by wireless power transfer from source node. For both time switching and power splitting modes of simultaneous power and information transmission, we analyze and minimize the total energy consumption of the system when transmitting a fixed amount of data, under a piecewise linear energy harvesting (EH) model. Closed-form expressions for optimal transmission parameters are obtained with and without the consideration of latency constraint. Through selected numerical results, we illustrate various design tradeoffs between energy consumption and latency constraint. We show that with optimal transmission parameters, relay transmission with energy transfer can achieve considerable energy saving compared to direct transmission when the direct link quality is poor and the latency constraint is not stringent. We also show that with optimized parameters, power splitting mode leads to lower energy consumption and smaller transmission duration than time switching mode, at the cost of higher implementation complexity.

Securing Wireless Communication in Cyber-Physical Systems and the Internet of Things: Addressing Security Challenges

Safeguarding wireless communication in cyber-physical systems (CPS) and the Internet of Things (IoT) is important to stop hackers, data breaches, and system interruptions. Multiple security risks can affect these systems because they are linked together and depend on wireless communication methods. This essay looks at the security issues that mobile and internet-connected things (IoT) have and suggests ways to fix them. Two of the biggest problems are keeping data sent over wifi networks private and secure. You can keep data safe from people listening in or changing it by using encryption methods like Advanced Encryption Standard (AES) and Rivest Cipher (RC4). Furthermore, security tools like Public Key Infrastructure (PKI) and Digital Signatures can confirm the authenticity of devices and make sure that contact is safe. An additional problem is that radio communication methods can be attacked with tactics like man-in-the-middle and repeat attacks. You can make CPS and IoT systems safer by using secure methods like Transport Layer Security (TLS) and Secure Shell (SSH). Protecting radio contact is also important to avoid problems caused by denial-of-service (DoS) attacks. Employing intrusion detection systems (IDS) and firewalls can assist in finding and blocking harmful traffic, ensuring that communication stays unbroken. Lastly, protecting radio transmission in CPS and IoT is important to avoid many security risks. The security of CPS and IoT systems can be improved by using encryption methods, identification mechanisms, and safe protocols to keep data private, secure, and accessible.

Cyber Security & IoT Vulnerabilities Threats Intruders and Attacks Research Review

The Internet of Things (IoT) is a system of various systems of hardware and software that is mostly dependent on online services and a variety of cutting-edge communication and sensing innovations. The introduction of 5G networks will see an increase in the global expansion of IoT, however security problems related to IoT innovation will additionally necessitate comprehensive analyses. This study will provide a comprehensive overview of the security difficulties in an Iot infrastructure, as well as current incidents of IoT technology assaults, interoperability used in IoT systems. For the inaugural study, all of the key aspects of IoT security are analysed and defined collectively. This study would be a great asset for prospective studies focusing on the creation of more secure IoT transmission methods for dealing with security and privacy in IoT.

Resource Allocation for Cognitive LEO Satellite Systems: Facilitating IoT Communications.

Due to the characteristics of global coverage, on-demand access, and large capacity, the low earth orbit (LEO) satellite communication (SatCom) has become one promising technology to support the Internet-of-Things (IoT). However, due to the scarcity of satellite spectrum and the high cost of designing satellites, it is difficult to launch a dedicated satellite for IoT communications. To facilitate IoT communications over LEO SatCom, in this paper, we propose the cognitive LEO satellite system, where the IoT users act as the secondary user to access the legacy LEO satellites and cognitively use the spectrum of the legacy LEO users. Due to the flexibility of code division multiple access (CDMA) in multiple access and the wide use of CDMA in LEO SatCom, we apply CDMA to support cognitive satellite IoT communications. For the cognitive LEO satellite system, we are interested in the achievable rate analysis and resource allocation. Specifically, considering the randomness of spreading codes, we use the random matrix theory to analyze the asymptotic signal-to-interference-plus-noise ratios (SINRs) and accordingly obtain the achievable rates for both legacy and IoT systems. The power of the legacy and IoT transmissions at the receiver are jointly allocated to maximize the sum rate of the IoT transmission subject to the legacy satellite system performance requirement and the maximum received power constraints. We prove that the sum rate of the IoT users is quasi-concave over the satellite terminal receive power, based on which the optimal receive powers for these two systems are derived. Finally, the resource allocation scheme proposed in this paper has been verified by extensive simulations.

Reconfigurable Intelligent Surface Based Uplink MU-MIMO Symbiotic Radio System

In this paper, we investigate a novel uplink reconfigurable intelligent surface (RIS) based multi-user multi-input multi-output symbiotic radio system. It indicates that each RIS, as an Internet-of-Things (IoT) device, enhances the primary transmission from a nearby user to the base station (BS), and simultaneously transmits its own information to the BS by backscattering modulation. By embedding environmental sensors on the RISs, the proposed system enables the IoT transmission of locally collected environmental data to the BS while assisting the primary communications from the users to the BS. We consider both the case of perfect and imperfect channel state information (CSI), and design the active beamforming at the BS and the passive beamforming at the RISs jointly to maximize the weighted sum-rate of both the primary and IoT transmissions. For the perfect CSI case, we propose an algorithm based on the block coordinate descent (BCD) method to solve the problem. We also propose another algorithm with a similar framework to reduce the computational complexity. For the imperfect CSI case, an algorithm based on BCD and the online successive convex approximation technique is proposed. Simulation results show that the proposed system achieves significant performance gain over a number of baseline schemes for both the perfect and imperfect CSI cases. Furthermore, when the channel estimation error is small, the performance loss due to imperfect CSI is insignificant.

Securing Wireless Communication in Cyber-Physical Systems and the Internet of Things: Addressing Security Challenges

Safeguarding wireless communication in cyber-physical systems (CPS) and the Internet of Things (IoT) is important to stop hackers, data breaches, and system interruptions. Multiple security risks can affect these systems because they are linked together and depend on wireless communication methods. This essay looks at the security issues that mobile and internet-connected things (IoT) have and suggests ways to fix them. Two of the biggest problems are keeping data sent over wifi networks private and secure. You can keep data safe from people listening in or changing it by using encryption methods like Advanced Encryption Standard (AES) and Rivest Cipher (RC4). Furthermore, security tools like Public Key Infrastructure (PKI) and Digital Signatures can confirm the authenticity of devices and make sure that contact is safe. An additional problem is that radio communication methods can be attacked with tactics like man-in-the-middle and repeat attacks. You can make CPS and IoT systems safer by using secure methods like Transport Layer Security (TLS) and Secure Shell (SSH). Protecting radio contact is also important to avoid problems caused by denial-of-service (DoS) attacks. Employing intrusion detection systems (IDS) and firewalls can assist in finding and blocking harmful traffic, ensuring that communication stays unbroken. Lastly, protecting radio transmission in CPS and IoT is important to avoid many security risks. The security of CPS and IoT systems can be improved by using encryption methods, identification mechanisms, and safe protocols to keep data private, secure, and accessible.

Incentivizing Proof-of-Stake Blockchain for Secured Data Collection in UAV-Assisted IoT: A Multi-Agent Reinforcement Learning Approach

The Internet of Things (IoT) can be conveniently deployed while empowering various applications, where the IoT nodes can form clusters to finish certain missions collectively. In this paper, we propose to employ unmanned aerial vehicles (UAVs) to assist the clustered IoT data collection with blockchain-based security provisioning. In particular, the UAVs generate candidate blocks based on the collected data, which are then audited through a lightweight proof-of-stake consensus mechanism within the UAV-based blockchain network. To motivate efficient blockchain while reducing the operational cost, a stake pool is constructed at the active UAV while encouraging stake investment from other UAVs with profit sharing. The problem is formulated to maximize the overall profit through the blockchain system in unit time by jointly investigating the IoT transmission, incentives through investment and profit-sharing, and UAV deployment strategies. Then, the problem is solved in a distributed manner while being decoupled into two layers. The inner layer incorporates IoT transmission and incentive design, which are tackled with large-system approximation and one-leader-multi-follower Stackelberg game analysis, respectively. The outer layer for UAV deployment is undertaken with a multi-agent deep deterministic policy gradient approach. Results show the convergence of the proposed learning process and the UAV deployment, and also demonstrated the performance superiority of our proposal as compared with the baselines.

Decentralized Blockchain Network for Resisting Side-Channel Attacks in Mobility-Based IoT

The inclusion of mobility-based Internet-of-Things (IoT) devices accelerates the data transmission process, thereby catering to IoT users’ demands; however, securing the data transmission in mobility-based IoT is one complex and challenging concern. The adoption of unified security architecture has been identified to prevent side-channel attacks in the IoT, which has been discussed extensively in developing security solutions. Despite blockchain’s apparent superiority in withstanding a wide range of security threats, a careful examination of the relevant literature reveals that some common pitfalls are associated with these methods. Therefore, the proposed scheme introduces a novel computational security framework wherein a branched and decentralized blockchain network is formulated to facilitate coverage from different variants of side-channel IoT attacks that are yet to be adequately reported. A unique blockchain-based authentication approach is designed to secure communication among mobile IoT devices using multiple stages of security implementation with Smart Agreement and physically unclonable functions. Analytical modeling with lightweight finite field encryption is used to create this framework in Python. The study’s benchmark results show that the proposed scheme offers 4% less processing time, 5% less computational overhead, 1% more throughput, 12% less latency, and 30% less energy consumption compared to existing blockchain methods.

A privacy-preserving scheme to support the detection of multiple similar request-real-time services in IoT application systems

Many Internet of Things (IoT) network and security studies have suggested to design a secure transmission scheme based on cryptographic methodology to guarantee that a transmitted requested service is securely delivered to the end-user. However, most of the IoT security schemes presented in the literature focus only on protecting the transmission data between sender and receiver without considering any potential cost that may result from their schemes. Cryptographic mathematical operation always incur some cost in transforming plaintext to ciphertext that may result in increasing the latency of providing the IoT application in real-time to end-user. With sending thousands of queries messages, encryption, verifying and decrypting each received message separately will result in a time delay, especially when a large number of similar queries are received at the same time. Therefore, applying incompatible cryptographic schemes in an IoT network system may not be practical for protecting IoT applications. In this work, we design a lightweight privacy-preserving (LPP) scheme to protect the IoT transmission network system with a feature for reducing the latency issues resulting from cryptographic computation cost on each ciphertext. The results of a security analysis substantiate the ability of the proposed scheme to withstand a range of security attacks against the IoT transmission network. Additionally, these results show that the proposed scheme registers a high efficiency in reducing both ciphertext size and computational cost.

DATA SECURITY IN HEALTHCARE USING IOT

While the Internet of Things (IoT) has been instrumental in healthcare data transmission, it also presents vulnerabilities and security risks to patients’ personalized health information for remote medical treatment. Currently most published security solutions available for healthcare data don't seem to be focused on data flow all the way from IoT sensor devices placed on a patient’s body through network routers to doctor’s offices. In this project, the IoT network facilitates healthcare data transmission for remote medical treatment, explored security risks related to unsecured data transmission, especially between IoT sensor devices and network routers, then proposed an encrypted security solution initiated at IoT sensor devices. Our proposed solution provides a cryptography algorithm embedded into the sensor device such that packets generated with patient’s health data are encrypted right at the sensor device before being transmitted. The proof of concept has been verified employing a lab setup with two level encryption at the IoT sensor level and two level decryption at the receiving end at the doctor’s office. Test results are promising for an end to-end security solution of healthcare data transmission in IoT. This project also provides further research avenues on IoT sensor driven security.

Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications

The Internet of Things (IoT) has impacted various aspects of life, but its profound effects on the health sector are particularly striking because of its cutting-edge nature. Mobile computing characteristics enable IoT to play a more important role when used with mobile computing. A significant part of the benefits of IoT in healthcare can be attributed to mobile health, which is greatly enhanced by mobile computing. Wearables transmit large amounts of data to IoT devices through sensors, actuators, and transceivers. Threats, attacks, and vulnerabilities abound for data on the Internet of Things. Therefore, addressing IoT-related security, privacy, and vulnerability issues call for a robust security solution. This paper proposes a secure and scalable healthcare data transmission framework in IoT based on an optimized routing protocol. Initially, the health data is collected from various IoT devices like wearable devices and sensors. The raw data is preprocessed via data cleaning and data reduction techniques. K-nearest neighbor (KNN) imputation is performed and principal component analysis (PCA) is employed for dimension reduction of the data. Utilizing modified local binary patterns (MLBP), the features are extracted from the preprocessed data. By combining the fuzzy dynamic trust-based RPL algorithm with the butter ant optimization (BAO) algorithm for low-power and lossy networks, the proposed fuzzy dynamic trust-based RPL (FDT-RPL) protocol improves the overall security of data transmission. The algorithm has been implemented for a smart healthcare system, and the performance is analyzed by comparing it with traditional approaches. The proposed routing protocol provided a secure and scalable healthcare data transmission.

3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems

Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day’s life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to build secure and private IoT systems. Physical-layer security (PLS) can lead to efficient solutions reducing the impact of the increasing security threats. In this work, we propose a new PLS-based IoT transmission scheme that offers a highly secured transmission probability, low-computational complexity, and reduced power consumption. We utilize 3-D stochastic geometry to model a more realistic IoT system and test our proposed scheme in different practical scenarios, where sensors, access points (APs), and eavesdroppers are randomly located in 3-D space. We focus on the system performance, in terms of secrecy outage probability (SOP) and secured successful transmission probability (SSTP), using tight closed-form expressions. An optimization problem is developed to deduce the optimal sensors’ transmit power, the APs’ density, and the maximum number of transmission tentative, when maximizing the SSTP. The proposed scheme outperforms the baseline retransmission scheme, in terms of SOP and SSTP based on analytical and simulation results.