Simulation Framework and Performance Analysis of Multimedia Broadcasting Service over Wireless Networks

A new multi-rat scheduling algorithm for heterogeneous wireless networks

Hopf bifurcation control of congestion control model in a wireless access network

In recent years, with the development of wireless communication technique and urgent requirement of industry, wireless network technology has been widely applied to industry distributed control system. The existing standardized wireless network protocol which has been applied can’t meet the above requirements, so there is need to apply some mechanism and design method to establish new and practical wireless distributive real-time system for industry. The paper proposes a wireless control network based on flexible time trigger mechanism to meet the time requirement of real-time application. The paper introduces the concept of flexible time trigger mechanism, and describes wireless control network model based on flexible time trigger mechanism. The paper explains the concept of flexible time trigger mechanism, and expounds how to apply the mechanism to establish wireless control network.

Glossary

The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological processes in different industries makes it possible to greatly improve the quality of final products and reduce losses of raw materials at all stages of production and storage. This covers both the industrial production of consumer goods and the food and processing industry. The article describes the developing and testing of network of wireless smart biosensor devices for food industry, namely for controlling the quality of wine, wine materials and food products in the production process. It is considered the technological process of production of wine materials and wine, as well as parameters that are subject of controlling. The requirements for smart multisensor devices, which are reasonable to use in such technological productions, are formulated. Measuring nodes are built on the basis of amperometric sensors and wireless data transmission units. Structural, functional and principle schemas of measuring devices were developed. The design documentation was created for their production at contract factories. The integration of wireless data transmission units into measuring nodes made it possible to build wireless sensor networks based on them. Several structures of wireless networks were developed on the base of wireless nodes with different functionality and with using of different wireless data transmission protocols. Hardware and software for wireless network nodes were developed. It was fulfilled the testing of the multisensor measuring node in autonomous mode, as well as the whole network consisting of several wireless nodes. The test results showed both the weaknesses of the developed devices, which should be eliminated in further researches, and the reasonability of using smart multisensor devices and networks based on them to control the quality of wine materials and wine at different stages of their production and storage. The work was performed with the support and within the Complex program of scientific research of the National Academy of Sciences of Ukraine "Smart" sensor devices of the new generation based on modern materials and technologies." Keywords: biosensors, amperometric transducers, smart multisensors, wireless sensor network, wine and food quality control.

A wireless sensor-actuator network is formed by nodes capable of sensing and acting upon its environment. Typical challenges in designing such networks include distributed signal processing, synchronisation and communication, as well as deployment of network nodes and scalable architectures for these networks. In this paper, we look at the application of neural networks to individual nodes in a wireless network, which result in a wireless sensor-actuator neural network model. We explain how the combination of sensor network and neural network technology can describe a system which maintains desired characteristics such as scalability and adaptability. We show further that such model can be successfully applied to an evacuation routing scenario.

The development of web 2.0 technologies since the mid-1990s has given a powerful new impetus to the growing trend of customers participating in the creation of services. Not only has it enabled this participation on a larger scale, it has also stimulated the development of a new type of service — one that integrates customers in the service creation process in ways never seen before. Customer service is now provided not by service providers alone but also by customers. Large numbers of customers are working for customers in a collaborative effort or, to be more precise, in large-scale collective action.KeywordsCollective ActionUser CommunityShared GoalOpen Source ProjectTravel BusinessThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

The wireless private network is a key for building an energy Internet and a full-service ubiquitous electric Internet of things (eIoT). It is an important means to get through the bottleneck of power distribution network. Quality-of-Services (QoS) management is the one of the issues that is appeared after using wireless network. With the requirements of power Internet of things, this paper studies the communication needs of different service types in the power grid, proposes a two-stage QoS algorithm based on 230MHz power wireless private network, and solves the problem of prioritizing different service types in the power grid. A new type of wireless communication equipment was developed and tested through the trial network. The test results proved that the algorithm could effectively optimize the QOS processing capacity of the system, and the results met the design expectation. The research result has positive reference value for further evolution of the electric Internet of things.

Recently, real-time Graphical Simulation and applications of mobile computing devices in wireless Environment have shown promising foreground in WMS system, as a result of the former gives a way to shifting data to another intuitive and easier understudied visualization, and the latter promote real-time data acquisition. But the B/S structure is a fat server and thin client architecture, most of the logic and computing are deployed on the server side. So that when the need for graphical simulation and applications of mobile computing devices in wireless network comes to B/S structure, server performance will decline distinctly. This paper presents an efficient architecture for semi-real-time graphical simulation based on mobile computing devices in wireless network. In the architecture, the real-time graphics generation will deployed not only the server but also the client, and graphical layers decomposed into three varieties according to the need for real-time refresh, the client will deal with them respectively. Experimental results demonstrate improvement of computation efficiency without performance degradation.

While modeling and analysis of network topology has been an active area of research in fixed networks, much less work has been done towards realistic modeling of wireless networks. The graph- based approach that has served as solid foundation for network science in the fixed domain is not natural for wireless communication networks, since their performance inherently depends on the spatial relationships between nodes. In this paper we apply techniques from spatial statistics literature to develop models of the spatial structure of the network for a variety of wireless network types. In particular, we construct models of television and radio transmitter distributions that have applications in, for example, cognitive wireless network applications. We use a stochastic approach based on fitting parametric location models to empirical data. Our results indicate that the so-called Geyer saturation model can accurately reproduce the spatial structure of a large variety of wireless network types, arising from both planned or chaotic deployments. The resulting models can be used in simulations or as basis of analytical calculations of different network properties, and we believe that the presented methodology can serve as a solid foundation for the emerging network science of wireless communication networks.

Heterogeneous wireless network (HWN) is an overlay structure of different wireless networks (WN). The WNs may differ in terms of coverage, capacity, underlying technology, service types, and network operators. In such a HWN environment, a mobile user (MU) equipped with multi-mode or multi-home terminal always wish to maintain connectivity with a wireless network which can provide best quality of experience (QoE). Similarly, the WN may allow the connectivity only to a MU which can provide highest revenue. This may leads to an event, called vertical handoff, where the MU leaves current WN and connect to another different WN. The conflicting goals of maximizing QoE and revenue simultaneously while performing a VHO necessitates the selection of mutually best MU and WN. Game theory is an efficient mathematical tool to model such situations where specific actions of decision makers lead to mutually conflicting consequences to each other. This paper, using a tutorial style, presented the game theory concepts and its application for VHO, type of games, and game solutions. It proposes, in specific, the noncooperative game formulations for three different VHO situations and their solutions using NASH for HWNs.

The next-generation wireless communication and networks are envisioned to become controllable, programmable, and intelligent by leveraging emerging technologies such as Intelligent Reflecting Surface (IRS) and Cognitive Radio. Reconfigurable wireless networks aim to enable “intelligence” into the existing system to perceive and assess the available resources, autonomously learn to adapt to the wireless environment’s dynamism and reconfigure its operating mode to maximize the utility of the available resources. Moreover, it needs to be energy efficient to support the technological limitations on energy supply and mitigate the effect of the information and communication technologies. Apart from that, the newly designed solutions need to be energy efficient to accommodate the power consumption of the numerous devices in wireless communication and Networks. This special issue aims to motivate the researchers to design novel schemes and architectures for the energy-efficient reconfigurable wireless communication and networks. This issue has 47 high-quality papers covering several aspects of reconfigurable wireless communication and networks. Among them, 17 papers with significant original contributions were eventually selected for publications in this special issue.

In wireless networks, tree structures are mainly used for routing and quality of service (QoS) maintenance. The main concern for the wireless system arises during the movement of the node (i.e., connectivity maintenance). The entire network performance is based on this aspect. To maintain connectivity, handover must be initiated by the network devices or individual nodes within the network. In this work, a localised tree model is used for seamless access and handover maintenance in personal wireless networks. To the best of our knowledge, none of the existing handover research is based on tree models. Both an entire tree structure and a broken tree structure are used for handover maintenance. The proposed work analyses the handoff parameters with network simulations.

Wireless network of wearable biomedical sensors by human body shows great potential to enhance the biometrics performance significantly. Meanwhile, it poses prominent characteristics and challenges to physicians and engineers for its particular medical application as compared to other application of wireless sensor networks (WSN). Mobility pattern plays an important role in designing the wireless body sensor networks (WBSN) and will also affect the accuracy of modeling WBSN in health care application. Much of the mobility scenarios generated in current work of wireless body sensor networks has used fairly simple models to generate the mobile topological graph, which bear little resemblance to the actual mobility patterns. This paper is the first attempt to investigate the mobility model in WBSN based on the existing mobility models in wireless data networks and ad hoc networks. We first briefly review the existing mobility models in related research areas such as wireless ad hoc network and cellular networks. Further on, we propose a dedicated and more realistic mobility model named BAMM (Body Area Mobility Model) for wireless body sensor networks by concentrating on the unique characteristics of WBSN and finally study the effects of mobility on the performance of WBSN by simulation experiments.

The layering principle has been long identified as a way to increase the interoperability and to improve the design of telecommunication protocols, where each layer offers services to adjacent upper layers and requires functionalities from adjacent lower ones. In the past, layering has enabled fast development of interoperable systems, but at the same time limited the performance of the overall architecture, due to the lack of coordination among layers. This issue is particularly relevant for wireless networks, where the very physical nature of the transmission medium introduces several performance limitations for protocols designed for wired networks. To overcome these limitations, a modification of the layering paradigm has been proposed, namely, cross-layer design, or “cross-layering.” Several cross-layering approaches have been proposed in the literature so far. Nevertheless, little formal characterization of the cross-layer interaction among different levels of the protocol stack is available yet. A clear need exists for identifying approaches able to analyze and provide quantitative guidelines for the design of cross-layer solutions, and, more importantly, to decide, in each case, whether cross-layering represents an effective solution or not. This chapter provides a detailed survey of the state-of-the-art and future directions in the usage of formal methods for cross-layer modeling and optimization of wireless networks. The text starts by detailing the principles of layered (ISO/OSI and TCP/IP) protocol stacks as well as the cross-layer paradigm. An overview of the architectures of existing and perspective wireless networks is presented along with an analysis of the potential limitations deriving from the layering approach and detailed description of possible optimization solutions enabled by cross-layer design. Subsequent sections are devoted to the issues of modeling and optimization of wireless networks. The remaining sections cover performance optimization as well as architecture optimization (specifically in terms of signaling). The chapter ends with a summary and outlines about future directions of research on the topic.