Energy balancing and faster data transfer over a wireless sensor network (WSN) is an important problem in applications like cyber-physical systems, Internet of things, context-aware pervasive systems. Addressing this leads to increased lifetime improved feasibility for real time applications. In WSNs, nodes the using multihop transmission model. The large number hops required poor energy latency across network. paper, we utilize recent development social networks called small world...

Low-power wide-area networks (LPWANs) are gaining popularity in the research community due to their low power consumption, cost, and wide geographical coverage. LPWAN technologies complement outperform short-range traditional cellular wireless a variety of applications, including smart city development, machine-to-machine (M2M) communications, healthcare, intelligent transportation, industrial climate-smart agriculture, asset tracking. This review paper discusses design objectives...

Hand gestures are a well-known and intuitive method of human-computer interaction. The majority the research has concentrated on hand gesture recognition from RGB images, however, little work been done videos. In addition, cameras not robust in varying lighting conditions. Motivated by this, we present video based using depth camera light weight convolutional neural network (CNN) model. We constructed dataset then used CNN model to detect classify movements efficiently. also examined...

Medical systems and assistive technologies, human-computer interaction, human-robot industrial automation, virtual environment control, sign language translation, crisis disaster management, entertainment computer games, so on all use RGB cameras for hand gesture recognition. However, their performance is limited especially in low-light conditions. In this paper, we propose a robust recognition system based high-resolution thermal imaging that light-independent. A dataset of 14,400 gestures...

With millions of devices connected together, the Internet Things (IoT) has become an emerging technology for future wireless networks. The ever-increasing number smart and data hungry applications demand a high Quality-of-Service (QoS) IoT. In conventional networks, being sent to cloud computational purpose leads poor QoS. order address QoS challenges, mobile edge networks have emerged as promising solution. bringing resources closer end results in improved maneuverability ease versatile...

The demand for noncontact breathing and heart rate measurement is increasing. In addition, because of the high medical services scarcity on-site personnel, process must be automated in unsupervised conditions with reliability accuracy. this article, we propose a novel measuring mmWave radar classifying these two vital signs machine learning. A frequency-modulated continuous-wave (FMCW) integrated pan, tilt, zoom (PTZ) camera to automate steering direct toward person facing camera. obtained...

Environmental sound classification (ESC) is an important research problem with a broad range of applications including audio-based surveillance, audio-visual systems, smart homes, and robotics, among others. The recently proposed vision multi-layer perceptron-mixer (MLP-mixer) has outperformed traditional deep models (CNN or ResNet) attained new state-of-the-art performances for several computer (image/video image segmentation). Following the success MLP-mixer, in this paper, we propose...

One of the critical challenges next-generation Internet Things (IoT) network is to ensure reliable and low latency data transfer at IoT devices (IoD), while minimizing overall power consumption. Data throughput performance degrade in a dense due obstacles between IoD access point (AP). Therefore, an efficient signal processing model needs be developed address aforementioned challenges. Towards this end, brief, optimal reflective elements (RE) grouping over reconfigurable intelligent surface...

By integrating the merits of aerial, terrestrial, and satellite communications, space-air-ground integrated network (SAGIN) is an emerging solution that can provide massive access, seamless coverage, reliable transmissions for global-range applications. In SAGINs, uplink connectivity from ground users (GUs) to essential because it ensures data collections interactions, thereby paving technical foundation practical implementations SAGINs. this article, we aim establish accurate analytical...

Time synchronization and node localization over a wireless sensor network (WSN) is vital problem in applications such as Internet of Things (IoT) context-aware pervasive systems. Addressing this leads to an efficient data fusion, power scheduling, bandwidth utilization, geographic routing, time-based channel sharing, clustering among nodes. In WSN, nodes utilize multi-hop transmission model towards the transfer. Utilization large number hops for transfer poor time resulting erroneous...

Recent proliferation of Internet Things (IoT) demands large scale connectivity among smart IoT devices over a vast geographical area. However, limited radio range and lack scalability conventional wireless sensor networks do not allow wide area devices. To address these challenges, Low-Power Wide-Area Networks (LPWANs) are emerging to provide long-range communication capability with low-power consumption the end Nevertheless, given demand in delivering an increasingly volume data generated...

The emerging trend of ubiquitous and pervasive computing aims at embedding everyday devices such as wrist-watches, smart phones, home video systems, autofocus cameras, intelligent vehicles, musical instruments, kitchen appliances etc. with microprocessors imparts them wireless communication capability. This advanced paradigm, also known the Internet Things or cyber-physical computing, leads internet to appear everywhere anywhere using any device location. With maximum appreciation due...

Localization of sensor nodes and efficient data gathering over a wireless network (WSN) is vital in applications such as cyber-physical systems, Internet Things, context-aware pervasive systems. In WSNs, transfer the cooperatively using multiple hops network. The large number required for transmission leads to erroneous distance estimation between node pairs, resulting localization error. this paper, we utilize recent development social networks called small-world characteristics proposing...

Multihop data routing over a large-scale Internet of Things (IoT) network results in energy imbalance and poor throughput performance. In addition, transmission using large number hops causes more delay. light this, this work, novel method management delay-constrained small-world unmanned aerial vehicle (UAV)-IoT is proposed. The proposed framework optimizes the required for leading to improved efficiency quality service. introduces optimal long-range links between device pairs resulting low...

This paper considers an Internet-of-Things (IoT) network where a multi-antenna access point (AP) and several single-antenna IoT devices (IoDs), operating under the full-duplex (FD) mode, communicate with each other bidirectionally through help of wireless-powered FD relay. In particular, power splitting (PS) protocol is adopted at amplify-and-forward (AF) relay to implement simultaneous wireless information transfer (SWIPT) receiver. For such multiuser FD-IoT assisted by two-way relay, we...

Internet of Things (IoT) enables important data collection the sensor nodes at desired location through device-to-device communication. It helps us in various applications including tracking physical objects, human health monitoring, climate smart agriculture, manufacturing, field surveillance, and intelligent transportation. Since, these utilize multi-hop transmission framework, Quality-of-Service (QoS) such as delay, throughput, gathering reliability degrades destination nodes. In...

Cholangiocarcinoma is one of the rarest yet most aggressive cancers that has a low 5-year survival rate (2% - 24%) and thus often requires an accurate timely diagnosis. Hyperspectral Imaging (HSI) recently developed, promising spectroscopic-based non-invasive bioimaging technique records spatial image ( x , y ) together with wide spectral λ information. In this work, for first time we propose to use three-dimensional (3D)U-Net architecture microscopic imaging-based cholangiocarcinoma...