The Internet of Things (IoT) is expected to substantially support sustainable development future smart cities. This article identifies the main issues that may prevent IoT from playing this crucial role, such as heterogeneity among connected objects and unreliable nature associated services. To solve these issues, a cognitive management framework for proposed, in which dynamically changing real-world are represented virtualized environment, where cognition proximity used select most relevant...

Increase in system capacity and data rates can be achieved efficiently a wireless by getting the transmitter receiver closer to each other. Femtocells deployed macrocell significantly improve indoor coverage provide better user experience. The femtocell base station called as Femtocell Access Point (FAP) is fully hence reduces infrastructure, maintenance operational cost of operator while at same time providing good Quality Service (QoS) end high network gains. However, mass deployment faces...

Hot spots in a wireless sensor network emerge as locations under heavy traffic load. Nodes such areas quickly deplete energy resources, leading to disruption services. This problem is common for data collection scenarios which Cluster Heads (CH) have burden of gathering and relaying information. The relay load on CHs especially intensifies the distance sink decreases. To balance consumption network, CH role should be rotated among all nodes cluster sizes carefully determined at different...

We are on the cusp of a new era connected autonomous vehicles with unprecedented user experiences, tremendously improved road safety and air quality, highly diverse transportation environments use cases, plethora advanced applications. Realizing this grand vision requires significantly enhanced vehicle-to-everything (V2X) communication network that should be extremely intelligent capable concurrently supporting hyperfast, ultrareliable, low-latency massive information exchange. It is...

The ongoing development of mobile communication networks to support a wide range superfast broadband services has led massive capacity demand. This problem is expected be significant concern during the deployment 5G wireless networks. demand for additional spectrum accommodate supporting higher data rates and having lower latency requirements, as well need provide ubiquitous connectivity with advent Internet Things sector, likely considerably exceed supply, based on current policy exclusive...

5G New Radio (NR) is touted as a pivotal enabling technology for the genuine realization of connected and cooperative autonomous driving. Despite numerous research efforts in recent years, systematic overview on role NR future communication networks missing. To fill this gap to spark more research, article introduces components discusses evolution from existing cellular vehicle-to-everything (V2X) toward NR-V2X. We primarily focus key features functionalities physical layer, sidelink its...

In order to satisfy the requirements of future IMT-Advanced mobile systems, concept spectrum aggregation is introduced by 3GPP in its new LTE-Advanced (LTE Rel. 10) standards. While allows carrier components (CCs) dispersed within and across different bands (intra/inter-band) as well combination CCs having bandwidths, expected provide a powerful boost user throughput (LTE-A). However, introduction or (CA) referred LTE 10, has required some changes from baseline 8 although each CC LTE-A...

Semantic modeling for the Internet of Things has become fundamental to resolve problem interoperability given distributed and heterogeneous nature "Things". Most current research primarily focused on devices resources while paid less attention access utilisation information generated by things. The idea that things are able expose standard service interfaces coincides with oriented computing more importantly, represents a scalable means business services applications need context awareness...

The requirements of analyzing heterogeneous data streams and detecting complex patterns in near real-time have raised the prospect event processing (CEP) for many Internet Things (IoT) applications. Although CEP provides a scalable distributed solution on fly, it is designed reactive applications as acts does not exploit historical data. In this regard, we propose proactive architecture which exploits using machine learning prediction conjunction with CEP. We an adaptive algorithm called...

In this paper, we present a method that facilitates Internet of Things (IoT) for building product passport and data exchange enabling the next stage circular economy. SmartTags based on printed sensors (i.e., using functional ink) modified GS1 barcode standard enable unique identification objects per item-level (including Fast-Moving Consumer Goods-FMCG), collecting, sensing, reading parameters from environment as well tracking products' lifecycle. The developed ontology is first effort to...

As sensors are adopted in almost all fields of life, the Internet Things (IoT) is triggering a massive influx data. We need efficient and scalable methods to process this data gain valuable insight take timely action. Existing approaches which support both batch processing (suitable for analysis large historical sets) event realtime analysis) complex. propose hut architecture, simple but architecture ingesting analyzing IoT data, uses provide context real-time analysis. implement our using...

LoRa technology, renowned for its low-power, long-range capabilities in IoT applications, faces challenges real-world scenarios, including fading channels, interference, and environmental obstacles. This paper aims to study the reliability of Non-Line-of-Sight (NLoS) conditions noisy mobile environments Industrial (IIoT) applications. Experimental measurements consider factors like vegetation infrastructure, introducing mobility replicate NLoS conditions. Utilizing an open-source Physical...

Future wireless systems are expected to be characterized by increasing convergence between networks and further development of reconfigurable radio systems. In parallel with this, demand for spectrum from these will increase, as users take advantage high quality multimedia services. This article aims investigate review the possibilities dynamic allocation different operating in a composite system. The first looks into current interest regulators this area, before describing some possible...

Network virtualization has been recognized as a promising solution to enable the rapid deployment of customized services by building multiple Virtual Networks (VNs) on shared substrate network. Whereas various VN embedding schemes have proposed allocate resources each requests, little work done provide backup mechanisms in case network failures. In virtualized infrastructure, single failure will affect all VNs sharing that resource. Provisioning dedicated for is not efficient terms resource...

Providing non interrupted Web Services from resource limited mobile devices in a light weight processing manner is significant need. This paper takes step towards achieving this goal. An implementation of two frameworks for providing constraints presented. The first framework implemented to provide SOAP and the second one RESTful Services. Each those has its own features shortcomings. provides comparison between SOAP-based RESTful-based frameworks. carried out allow us decide on that best...

Nowadays, smart environments (e.g., home, city) are built heavily relying on Cloud computing for the coordination and collaboration among objects. is typically centralized but objects ubiquitously distributed, thus, data transmission latency (i.e., end-to-end delay or response time) between a critical issue especially to applications that have strict requirements. To address concern, new Fog paradigm recently proposed by industry, while detailed platform yet be developed. The key idea bring...

Neighbor discovery was initially conceived as a means to deal with energy issues at deployment, where the main objective acquire information about network topology for subsequent communication. Nevertheless, over recent years, it has been facing new challenges due introduction of mobility nodes static networks mainly caused by opportunistic presence in such scenario. The focus has, therefore, shifted toward more challenging environments, connectivity opportunities need be exploited achieving...

Semantic modelling provides a potential basis for interoperating among different systems and applications in the Internet of Things (IoT). However, current work has mostly focused on IoT resource management while not access utilisation information generated by "Things". We present design comprehensive lightweight semantic description model knowledge representation domain. The follows widely recognised best practices engineering ontology modelling. Users are allowed to extend linking external...

Interference is one of the most limiting factors when trying to achieve high spectral efficiency in deployment heterogeneous networks (HNs). In this paper, HN modeled as a layer closed-access LTE femtocells (FCs) overlaid upon an radio access network. Within context dynamic learning games, work proposes novel multiobjective fully distributed strategy based on reinforcement (RL) model (CODIPAS-HRL) for FC self-configuration/optimization. The self-organization capability enables FCs...

Internet of Things (IoT) data analytics is underpinning numerous applications, however, the task still challenging predominantly due to heterogeneous IoT streams, unreliable networks, and ever increasing size data. In this context, we propose a two-layer architecture for analyzing The first layer provides generic interface using service oriented gateway ingest from multiple interfaces systems, store it in scalable manner analyze real-time extract high-level events; whereas second responsible...

Automated service discovery enables human users or software agents to form queries and search discover the services based on different requirements. This implementation of high-level functionalities such as recommendation, composition, provisioning. The current Web is mainly supported by text keyword-based solutions which offer very limited semantic expressiveness developers consumers. paper presents a method using probabilistic machine-learning techniques extract latent factors from...