Short-range Wireless Networks Research Articles

Early myopericarditis diagnosed in a 31-year-old patient using smartwatch technology: A case report

IntroductionSmartwatches, wrist-mounted devices with computing capacity able to connect with other devices via short-range wireless networking, are today commonly used by the general population to monitor their health status using specific applications.Currently, these devices offer new possibilities in remote health care monitoring and integration with other applications, through alert notifications, collection of personal data by a variety of sensors and the storage of these data. Several companies are introducing smartwatches with “health status” monitoring software with multiple functions, i.e. electrocardiogram (ECG) sensors.Recently, detection of atrial fibrillation based on heart rate monitoring by optical sensors resulted to be feasible and reliable when using the Apple Watch® and its corresponding application. Indeed, previous case reports highlighted its sensitivity in detecting morphological changes typical of the Acute Coronary Syndrome. Case reportWe report the case of a healthcare worker, who experienced chest pain and diffuse myalgia, detected ECG alterations in the ST segment, and reached the Emergency Department Myopericarditis was diagnosed and treated promptly to prevent complications. DiscussionAcute viral myocarditis and pericarditis are clinical conditions, usually characterized by 21 a benign course that does not require medical evaluation. However, ventricular arrhythmias are also common in viral myocarditis, and the latter is associated with a large proportion of sudden cardiac deaths in the young population without previous structural heart disease. In this case report, smartwatch technology allowed the preventive implementation of interventions against potentially life-threatening complications. Further developments in smartwatch technology could lead to more sensitive and specific diagnostic algorithms for conditions that require immediate medical intervention.

A nonlinear disturbance observer based super twisting control for cooperative adaptive cruise control system affected by communication imperfections

A cooperative adaptive cruise control system utilizes vehicle-to-vehicle communication in addition to onboard sensors. Vehicle-to-vehicle communication is established by a short-range wireless network, which is susceptible to communication delay or loss of communication frequently. It would result in higher inter-vehicle distance to maintain the string stability of a platoon. In this paper, a nonlinear observer-based super twisting control is proposed to retain the property of string stability in various practical scenarios of communication delay, complete loss of communication, and parametric uncertainty. It ensures asymptotic convergence of the spacing error. The stability of an individual vehicle and the string stability of a platoon is derived. The performance of the proposed scheme is compared with two well-known methods for controlling a platoon of cooperative adaptive cruise control and adaptive cruise control vehicles.

Metamaterial-Based LTCC Compressed Luneburg Lens Antenna at 60 GHz for Wireless Communications

In this study, a metamaterial-based LTCC compressed Luneburg lens was designed, manufactured and measured. The lens was designed at 60 GHz to utilize the unlicensed mm-wave spectrum available for short-range high-capacity wireless communication networks. The transformation optics method was applied to ensure the compression of the Luneburg lens antenna and thus maintain a low-profile structure. The two different types of unit cells for low and high permittivity regions were considered. The parametric study of the effect of compression on lens performance was presented. The antenna is implemented with a standard high-permittivity LTCC process, and details of the manufacturing process for the metamaterial lens are discussed. The low-profile lens is thinner than 2 mm and measures 19 mm in diameter. A size reduction of 63.6% in comparison with a spherical lens was achieved. The near-field to far-field mm-wave measurement technique is presented, and the measurement results show a peak antenna gain of 16 dBi at 60 GHz and a beam-scanning capacity with 1 dB scan loss within a 50° field of view.

Microwave-sensor-node integrated into a short-range wireless sensor network

This paper presents the first microwave-sensor-node integrated into a short-range wireless sensor network based on ZigBee technology. The node includes an analog front-end circuit, a Frequency Modulated Continuous Wave generator, an Analog-to-Digital-Converter module, a transceiver, a power unit, a processing unit and a new one-port dielectric permittivity sensor which is able to measuring the separation of structural cracks by the reflection coefficient measured in microwave frequencies. The analog front-end is composed of a pair of power dividers, an isolator and a mixer. The dielectric permittivity sensor is based on a patch antenna of variable length. The processing unit and transceiver are implemented with an Arduino UNO and an XBee module respectively. Additionally, the methodology for data processing is presented and the results of the measurement of a synthetic crack are presented. The results show that the system was successfully implemented with a sensitivity of 0.07 GHz/mm, for an opening range of between 0 and 5 mm and for a frequency range ranging from 2.782 GHz to 3.131 GHz. It is important to mention that the measurement was done remotely, placing the sensor 3 m from the client PC.

Design and Analysis of Impulse Radio (IR) Based UWB Transmitter with Antenna

The use of ultra-wideband (UWB) in target detection, radar and wireless connectivity, specifically in the medical world, has attracted a lot of attention. The concept that the IR-UWB system does not necessarily require carrier signals is one of its most appealing features. IR-UWB can transmit information using short Gaussian monocycle pulses. In light of these advantages, this paper proposes a novel UWB transmitter system which consists of UWB signal generating circuits and UWB antenna, which work together to create entire UWB transmitter. It is based on impulses and has a simple architecture with low power consumption. The proposed transmitter is realized in Cadence tools with 90nm CMOS technology and proposed UWB antenna is simulated using Advanced Design System (ADS) simulator software. In addition, the transmitter circuit and the antenna are co-simulated using ADS software. The illustrated UWB transmitter uses a low-power supply and generates pulse amplitude with pulse duration of for the Gaussian monocycle pulse. Due to its increased output voltage swing and reduced power consumption when comparing to other circuits, the proposed architecture is functional and suitable for use in short-range wireless networks and medical applications.

Internet of Things (IoT) and emerging Wireless Technologies in the 21st Century

This paper accesses the Internet of Things (IoT) in conjunction with the emergence of Wireless Technologies. Internet of Things (IoT) refers to a type of network to connect anything with the Internet, based on stipulated protocols through information sensing equipment to conduct information exchange and communications; in order to achieve smart recognitions, positioning, tracing, monitoring, and administration. This investigates the Internet of Things (IoT) and its incorporation of multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low Energy, LoRa, and so on. This enables numerous business opportunities in fields as diverse as e-health, smart cities, and smart homes, among many others. This research briefly discussed about IoT, some of the major evolving and enabling wireless technologies in the IoT, Smart Environnent Application Domain, and Application of IoT. Benefits and Challenges of IoT.

Collision Resolution With FM0 Signal Separation for Short-Range Random Multi-Access Wireless Network

In internet of things, a central node to multiple sensor nodes is usually a short-range communication network, which generally uses random multiple access to resolve collision at a media access control (MAC) layer. In this case, the communication efficiency is not optimal. On the other hand, its efficiency can be improved in separated collision resolution, where collision signals can be separated and then decoded. For the resolution, good coding techniques can improve the performance of collision resolution. However, the conventional coding techniques usually need the signal fading coefficient estimated or be known in advance. The condition is not always satisfied in the short-range network. This paper proposes a finite-symbol separation Viterbi decoder (FSVD) which does not need to know the fading coefficient. Through the estimation of a dictionary matrix, the uncertainty of signal separation can be eliminated, and thus obtain more accurate likelihood distances and improve the decoding accuracy. In experiments, we establish two ultra-high frequency (UHF) short-range wireless networks based on an FM0 code, using a simulation and a software radio platform, respectively. The experimental results show that the throughput of FSVD reaches about 0.61, which is about 0.25 higher than that of a traditional ALOHA network.

Demystifying COVID-19 Digital Contact Tracing: A Survey on Frameworks and Mobile Apps

The coronavirus pandemic is a new reality, and it severely affects the modus vivendi of the international community. In this context, governments are rushing to devise or embrace novel surveillance mechanisms and monitoring systems to fight the outbreak. The development of digital tracing apps, which among others are aimed at automatising and globalising the prompt alerting of individuals at risk in a privacy-preserving manner, is a prominent example of this ongoing effort. Very promptly, a number of digital contact tracing architectures have been sprouted, followed by relevant app implementations adopted by governments worldwide. Bluetooth, specifically its Low Energy (BLE) power-conserving variant, has emerged as the most promising short-range wireless network technology to implement the contact tracing service. This work offers the first to our knowledge full-fledged review of the most concrete contact tracing architectures proposed so far in a global scale. This endeavour does not only embrace the diverse types of architectures and systems, namely, centralised, decentralised, or hybrid, but also equally addresses the client side, i.e., the apps that have been already deployed in Europe by each country. There is also a full-spectrum adversary model section, which does not only amalgamate the previous work in the topic but also brings new insights and angles to contemplate upon.

Formal Framework for Safety, Security, and Availability of Aircraft Communication Networks

As the costs of fuel and maintenance increase and regulations on weight and environmental impact tighten, there is an increasing push to transition onboard aircraft networks to wireless, reducing weight, fuel, maintenance time, and pollution. A candidate short-range wireless network for aircraft onboard communications is outlined using the common ZigBee protocol and privacy-preserving search implemented as a secure publish/subscribe system using specially coded metadata. Formally specifying safety and security properties and modeling the network in New e(X)tensible Model Verifier enable verification and fault analysis via model checking and lay the groundwork for future certification avenues. Experiments formally analyzing the candidate wireless network are reported, showing overhead and availability for encrypted and fault-tolerant communications. A formal model is proposed, which allows system designers to estimate communication failure rates and directly trade off fault tolerance for bandwidth, while preserving communication security.

Preemphasis Control in Switched-Mode Power Converter for Energy-Efficient Wide Bandwidth Visible Light Communication

Visible light communication (VLC) shows up as a trend for short-range wireless networks. However, from the energy point of view, there is still a lack of light-emitting diode (LED) drivers that support considerable data rates with high efficiency. Common solutions would include switched-mode power converters (SMPCs), which are efficient, but they still face challenges regarding the modulation bandwidth (BW) for VLC. Thus, this article presents an analysis of a preemphasis (PE) technique to overcome the low BW constraint of the SMPC. The PE filter is used to render the frequency response of the circuit to provide a wider BW for communications. It operates on the duty cycle of the converter, and it dictates the average output signal value over a switching period. Finally, the technique is presented in a theoretical approach with the aligned experimental results in a 21.5-W buck-converter-based LED driver switched at 1 MHz, with 89% efficiency and an increased modulation BW from 8.12 to 450 kHz (55 times).

A high efficiency BPSK receiver for short range wireless network

In this paper, a 910MHz high efficiency BPSK receiver is presented with Colpitts oscillator for short range wireless network. In this research, with injection-lock technique and using Colpitts oscillator, the efficiency of receiver has been improved. And also, behavior of an oscillator under injection of another signal has been investigated. Also, variation of output signal amplitude versus injected signal phase variation, the effect of varying the amplitude of injected signal and quality factor of the oscillator has been investigated. The designed receiver has 0.474 mW dc power and -60 dBm sensitivity. Data rate of receiver is 5 Mbps. The FOM of receiver is 94 pJ/bit. This receiver was designed and simulated in 0.18 μm RFCMOS technology. This proposed receiver can be used in short range wireless network for example, Wireless Body array network and wireless sensor network.

Design of remote security control system based on 4G

With the rise of the concept of “smart earth”, the new generation of information technology has changed the way information interacts. The combination of things, intelligence and interconnection has made people’s daily life more convenient. However, while enjoying convenience, information security has become a bottleneck restricting comprehensive interconnection. A variety of devices can be remotely controlled through public networks and sensor networks, but a large number of facts show that in an open network environment, information is easily stolen and tampered, and the resulting security problems are becoming more serious. The 4G (the 4 Generation mobile communication technology) remote security control system implemented in this paper consists of a main controller, a cloud server and an Android client. The information of the main controller and the client is encrypted by the national secret algorithms SM2 and SM4, the information exchange is performed by the cloud server, and the main controller establishes a connection with the terminal device through the short-range wireless network. Compared with the remote control system that usually uses international algorithms, this system has advantages in terms of ensuring the security and control on the basis of satisfying convenience and intelligence.

New Generation Wearable Antenna Based on Multimaterial Fiber for Wireless Communication and Real-Time Breath Detection

Smart textiles and wearable antennas along with broadband mobile technologies have empowered the wearable sensors for significant impact on the future of digital health care. Despite the recent development in this field, challenges related to lack of accuracy, reliability, user’s comfort, rigid form and challenges in data analysis and interpretation have limited their wide-scale application. Therefore, the necessity of developing a new reliable and user friendly approach to face these problems is more than urgent. In this paper, a new generation of wearable antenna is presented, and its potential use as a contactless and non-invasive sensor for human breath detection is demonstrated. The antenna is made from multimaterial fiber designed for short-range wireless network applications at 2.4 GHz frequency. The used composite metal-glass-polymer fibers permits their integration into a textile without compromising comfort or restricting movement of the user due to their high flexibility, and shield efficiently the antenna from the environmental perturbation. The multimaterial fiber approach provided a good radio-frequency emissive properties, while preserving the mechanical and cosmetic properties of the garments. With a smart textile featuring a spiral shape fiber antenna placed on a human chest, a significant shift of the operating frequency of the antenna was observed during the breathing process. The frequency shift is caused by the deformation of the antenna geometry due to the chest expansion, and to the modification of the dielectric properties of the chest during the breath. We demonstrate experimentally that the standard wireless networks, which measure the received signal strength indicator (RSSI) via standard Bluetooth protocol, can be used to reliably detect human breathing and estimate the breathing rate in real time. The mobile platform takes the form of a wearable stretching T-shirt featuring a sensor and a detection base station. The sensor is formed by a spiral-shaped antenna connected to a compact Bluetooth transmitter. Breathing patterns were recorded in the case of female and male volunteers. Although the chest anatomy of females and males is different compared, the sensor’s flexibility allowed recording successfully a breathing rate of 0.3 Hz for the female and 0.5 Hz for the male, which corresponds to a breathing rate of 21 breaths per minutes (bpm) and 30 bpm, respectively.

Traffic Priority Based Channel Assignment Technique for Critical Data Transmission in Wireless Body Area Network.

In recent days, intelligent biomedical sensors and wearable devices are changing the healthcare industry by providing various heterogeneous vital signs of patients to the hospitals, caregivers, and clinicals. This collective form of monitoring sensor devices forms a very short-range Wireless Body Area Network (WBAN) and plays a key role in the data gathering process. If any sensor node in the network detects abnormal values that should be transmitted promptly via wireless medium with less delay. A single medium allows one-way delivery of a data packet, and it may not be sufficient to satisfy the high volume of communication demand between the sensor nodes in the network. In the same way, the packet prioritization does not guarantee the packet will get there on time and sometime it may cause priority conflicts among the nodes. It is only mean that the flow of delivery service handles that critical data packet before handling other data packets. However, unexploited time slots and bandwidth wastage will occur due to inefficient backoff management and collisions. To minimize the aforementioned issues, various backoff procedures, adaptive slot allocation mechanisms, priority-based medium access control protocols have been developed but suffer limitations in the context of providing priority-based channel access with less backoff conflicts and dedicated allocation of time slots for critical nodes in all cases. Based on these deliberations, a more effective Traffic Priority-based Channel Access Technique (TP-CAT) is proposed using IEEE 802.15.6 in order to minimize the transmission delay of critical data packet and solve conflicts among other priority nodes during the backoff phases. Firstly, a Low Threshold Criticality-based Adaptive Time slot Allocation algorithm (LT-CATA) is presented to decrease the priority slot conflicts between the low threshold data traffic from the same and different type of user prioritynodes. Secondly, a High Threshold Criticality-based Adaptive Time slot Allocation algorithm (HT-CATA) is developed to reduce the priority slot conflicts between the high threshold data traffic from the same and different types of user prioritynodes. Additionally, a novel Random Overlapping Backoff value Avoidance (ROBA) technique is introduced to eliminate the overlapping issue during the selection of random backoff value among the sensor nodes. Since, the proposed technique greatly reduced the channel access delay and transmissiondelay of critical data packet as well as other types of priority data packet. The Simulation results are verified in the CASTALIA 3.2 framework using omnet++ network simulater to relatively evaluate the performance metrics of the TP-CAT technique with state-of-the-art protocols. From the analysis of the results, it is evident that the TP-CAT technique provides better performance in terms of delay, energy consumption, and throughput in healthcare monitoring environments.

Short-Range Wireless Network Communication and Application based on Decision Tree Algorithm

Short-Range Wireless Network Communication and Application based on Decision Tree Algorithm

An Agricultural Monitoring System Based on Wireless Sensor and Depth Learning Algorithm

The rise and development of the Internet of Things (IoT) have given birth to the frontier technology of the agricultural IoT, which marks the future trend in agriculture and the IoT. The agricultural IoT can be combined with Zigbee, a short-range wireless network technology for monitoring systems, to solve the excessively large planting area and other defects in agricultural production. Meanwhile, the modernization of planting and harvesting has set the stage for deep learning. Unlike the artificial neural network, the deep learning is an important intelligent algorithm, capable of solving many real-world problems. Therefore, this paper probes into the problems of modern automatic agriculture. First, the routing allocation technology and transmission mode were optimized to solve the energy consumption problem. Second, the classification model based on deep learning algorithm was put forward according to the application of the Wireless Sensor Network (WSN) in continuous monitoring of soil temperature and humidity. Despite the lack of upper soil humidity sensor in agriculture, the model can still classify the soil moisture of the nodes, and derive the main soil moisture content. Finally, a solution was presented based on agricultural ZigBee WSN technology. In addition to cheap cost and low power consumption, the solution has the functions of reminding and recognition due to the adoption of artificial intelligence algorithm. Suffice it to say that the solution is a successful attempt to integrate artificial intelligence and sensor technology into agricultural modernization.

Wireless Teleophthalmology: A Novel, Low-Cost, Flexible Network Architecture and Its Performance Evaluation for Remote Eye Care Solutions.

This article proposes a novel, cost-effective, flexible, and easy-to-deploy wireless teleophthalmology network architecture and performance evaluation for its potential use in remote areas. This study has used practical telecommunication standards, which is widely deployed throughout India. In the proposed scenario, patient's eye images are obtained using a specified imaging modality, and then sent to a server at the primary eye care centre (PECC) using ZigBee a short-range wireless network. It is linked to the main server at the base eye hospital (BEH) through a GSM/UMTS (3G)/WiMAX (Worldwide Interoperability for Microwave Access) network. After diagnostic evaluation of the eye image using various automated diagnostic software, data are sent to a physician in an urban center for further validation, which is connected through GSM/UMTS (3G)/WiMAX network. Performance evaluation of these wireless networks is carried out for their use in teleophthalmology application based on network parameters, namely throughput, average end-to-end delay, and average jitter. It is found that end-to-end delay is the most critical network parameter affecting overall quality of service (QoS) of the proposed teleophthalmology network. The results demonstrate that WiMAX is the most suitable network among the considered networks for connecting PECC nodes with BEH main server, and further connecting main server with a doctor on the move. It is also deduced that for a given set of QoS parameters, WiMAX supports a load capacity of 22,000 packets at center nodes and the main server and it performs well even when the mobility speed of doctor exceeds 200 KPH.

RFID Localisation for Internet of Things Smart Homes : A Survey

The Internet of Things (IoT) enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. The IoT incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. Localisation in indoor positioning systems plays an important role in the IoT. Location Based IoT applications range from tracking objects and people in real-time, assets management, agriculture, assisted monitoring technologies for healthcare, and smart homes, to name a few. Radio Frequency based systems for indoor positioning such as Radio Frequency Identification (RFID) is a key enabler technology for the IoT due to its costeffective, high readability rates, automatic identification and, importantly, its energy efficiency characteristic. This paper reviews the state-of-the-art RFID technologies in IoT Smart Homes applications. It presents several comparable studies of RFID based projects in smart homes and discusses the applications, techniques, algorithms, and challenges of adopting RFID technologies in IoT smart home systems.

BLE or IEEE 802.15.4: Which Home IoT Communication Solution is more Energy-Efficient?

IEEE 802.15.4 (used by Zigbee, 6LoWPAN and Thread) and Bluetooth Low Energy (BLE) are two widely used wireless standards for ultra low power IoT (Internet of Things) technologies and smart home applications. In this article, we present the first comparison of the physical layer of the two protocols, focusing on two performance metrics: energy eÿciency and wireless coverage. The comparison uses the first radio that seamlessly supports both protocols; therefore, the protocols are compared on identical hardware and software. By combining the two metrics, we quantify the performance, and identify in which types of links it is preferable to use one protocol or the other, thus providing practical guidelines to developers of short-range energy-constrained wireless networks and smart home applications.

Emerging Wireless Technologies in the Internet of Things : A Comparative Study

The Internet of Things (IoT) incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. This research analyses some of the major evolving and enabling wireless technologies in the IoT. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low Energy, LoRa, and the different versions of Wi-Fi including the recent IEEE 802.11ah protocol. The studies evaluate the capabilities and behaviours of these technologies regarding various metrics including the data range and rate, network size, RF Channels and Bandwidth, and power consumption. It is concluded that there is a need to develop a multifaceted technology approach to enable interoperable and secure communications in the IoT.