Utilization Of Wireless Networks Research Articles

Relationships of Information Technology with performance management of transport companies

The study presents chosen relationships of Information Technology (IT) with performance management of cargo transport companies. The relevance of Information Technology adoption and utilization of wireless networks in cargo transport enterprises for enhancing customer service and logistics performance was assessed. The primary data for the study were collected from representatives of 278 cargo transport companies located in Poland, using the survey-based method. Extensive literature studies imposed the imperative 37 components of the questionnaire form, introduced conscientiously. The fundamental exploration of data was conducted through the utilization of Structural Equations Modeling, involving model fit, casualty assessment, factors of latent variables and itemized delineation of hypotheses effects. This paper provides recognition of the underexplored field of IT adoption and wireless network use pertaining to logistics and customer service performance within organizational determinants of cargo transport enterprises. The primary findings of the investigation contribute to the endorsement of the determinants for the organizational orientation of the companies within the strategic context in relation to IT involvement. Furthermore, these organizational accomplishments necessitate a comprehensive examination of the performance within areas of customer service and logistics.

The Utilization of Wireless Networks and Mobile Applications in the Control of Power Electronics Converters

The Utilization of Wireless Networks and Mobile Applications in the Control of Power Electronics Converters

WiFi6 Dynamic Channel Optimization Method for Fault Tolerance in Power Communication Network

As the scale of power networks has expanded, the demand for multi-service transmission has gradually increased. The emergence of WiFi6 has improved the transmission efficiency and resource utilization of wireless networks. However, it still cannot cope with situations such as wireless access point (AP) failure. To solve this problem, this paper combines orthogonal frequency division multiple access (OFDMA) technology and dynamic channel optimization technology to design a fault-tolerant WiFi6 dynamic resource optimization method for achieving high quality wireless services in a wirelessly covered network even when an AP fails. First, under the premise of AP layout with strong coverage over the whole area, a faulty AP determination method based on beacon frames (BF) is designed. Then, the maximum signal-to-interference ratio (SINR) is used as the principle to select AP reconnection for the affected users. Finally, this paper designs a dynamic access selection model (DASM) for service frames of power Internet of Things (IoTs) and a scheduling access optimization model (SAO-MF) based on multi-frame transmission, which enables access optimization for differentiated services. For the above mechanisms, a heuristic resource allocation algorithm is proposed in SAO-MF. Simulation results show that the method can reduce the delay by 15% and improve the throughput by 55%, ensuring high-quality communication in power wireless networks.

Dynamic Channel Selection and Transmission Scheduling for Cognitive Radio Networks

Cognitive radio networks (CRNs) are expected to be promising techniques for improving the spectrum efficiency of wireless network utility in the squeezed sub-6-GHz frequency bands. Nevertheless, frequency allocation and transmission scheduling for secondary users (SUs) in CRNs suffer from no prior knowledge of other SUs’ network behaviors or the distribution of the amount of data generated at each SU. As a countermeasure, this article develops a protocol for the joint channel selection and transmission scheduling such that SUs with heterogeneous data transmission demands could be served with limited spectrum resources. Then, we formulate the dynamic optimization of the protocol as mutually embedded Markov decision processes (MDPs). To address the intractable MDPs, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> -learning-based channel selection and transmission scheduling based on reinforcement learning with basis function approximation are, respectively, proposed. It is shown that compared with various baselines, the proposed channel selection algorithm enables each SU to select the best frequency-domain channel that does not interfere with other SUs. In particular, the proposed transmission scheduling algorithm outperforms algorithms based on off-the-shelf approaches, such as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> -learning and Lyapunov optimization, in terms of both energy efficiency and long-term accumulative amount of bits at each SU.

Approach to implementation of local navigation of mobile robotic systems in agriculture with the aid of radio modules

In this paper an approach is presented, enabling to solve the problem of local navigation of mobile robotic platforms (MRP), based on utilization of wireless networks with mesh topology. Establishment of wireless networks was ensured, based on the set of radio modules, mounted on unmanned aerial vehicles (UAV), comprising a swarm. This paper presents a developed algorithm for establishment of such wireless networks, aided by LoRa-technology, as well as an algorithm for MRP localization, based on analysis of signal level, where the incoming signals are fed from MRP group radio modules to radio modules of wireless data transfer network. An algorithmic model is given for task distribution among UAV and to implement navigational capabilities of MRP swarm. In some experiments descending dependencies of absolute error value, pertinent to MRP, from the number of UAV in action were revealed, as well as of averaged deflection value of MRP positions in motion along their paths from the number of UAV in action. Thereby the averaged value of MRP localization error, depending on the number of UAV in action, was from 8.14 to 17.13 m, and the averaged value of MRP position deflection - from 16.38 to 57.12 m, respectively.

Routing Protocols Design and Performance Evaluation in Wireless Mesh Networks

The wireless mesh networks (WMNs) have become one of the popular technologies of the wireless network utilization. WMN provides reliable and scalable wireless network because of its features such as dynamic self-organizing, self-configuring, Self-managing and self-healing. Routing protocols play an essential role in finding and establishing an active route from a source to a destination in WMNs. This article focuses on the performance evaluation and comparison of some routing protocols commonly used in WMNs for VoIP application: AODV, DSR, OLSR and TORA has been investigated over client Wireless Mesh Networks based on OPNET simulation in a different network sizes and mobility. This article presents a background of some designs and solutions based on an elaborated simulation investigation. The performance comparisons are carried out with regard to the node variation in network sizing and mobility. Based on the empirical outputs, the authors suggested that to utilize a specific routing protocol in certain situations.

Hedging Approach for Scheduling Actuator Data Transmission in Networked Adaptive Control Systems

In the execution of networked control systems, a critical task is to reduce wireless network utilization while achieving closed-loop stability in the presence of system uncertainties. Motivated by this standpoint, we propose a new event-triggered model reference adaptive control architecture predicated on the hedging approach to schedule the actuator data transmission from the proposed adaptive control law to the uncertain dynamical system. The hedging approach alters the trajectories of an ideal reference model to allow for correct adaptation while reducing the actuator data transmission. Specifically, we show that the difference between the trajectories of the uncertain dynamical system and the hedged reference model vanishes asymptotically using Lyapunov stability theory. Unlike existing event-triggered adaptive control methods addressing the same problem, we show with the proposed architecture, in a non-conservative way, how the trajectories of the uncertain dynamical system eventually stays close to a given ideal reference model, and it can also allow for parameter convergence when the closed-loop system is persistently excited. An illustrative numerical example is also provided to demonstrate the efficacy of the proposed architecture over existing event-triggered adaptive control methods.

SISTEM INFORMASI PENGELOLAAN PERSEDIAAN BAHAN BAKU BERBASIS CLIENT SERVER PADA CV. ALINEA JAVA SEMARANG

Abstract The management of raw material inventory is a very important part for a company. In the process of inventory management of raw materials conducted on CV.Alinea Java until now still using conventional system using Microsoft Excel 2007, starting from material estimation, ordering process of goods to supplier, process of receipt and expenditure of raw materials, raw material returns, addressed to the leadership and related sections. And the utilization of wireless networks that are less effective because only connected computer warehouse administration and purchasing, not all users, to overcome the above problems, it is necessary information that utilizes the inventory management information system raw materials with computer network based client server using a new system of mutual terintregrasi all users so that all interested parties can access the desired data of course with certain restrictions, according to the status entered. Then created a system of inventory management information raw materials server client base on CV.Alinea Java by using Microsoft Visual Basic 6.0 and Microsoft SQL Server 2000 database that will assist in the process of data processing system.

EVAC-AV: The Live Road Surveillance Control Scheme Using an Effective-Vision-Area-Based Clustering Algorithm With the Adaptive Video-Streaming Technique

A new type of safety service in vehicular ad hoc networks (VANETs) is live road surveillance (LRS) video streaming. However, video streaming is a high-bandwidth-demanded service and causes network congestion if there are many vehicles that stream video in the wireless network at the same time. Clustering is an efficient technique to relieve network congestion in VANET because it can reduce the number of vehicles to transmit data. The adaptive video-streaming technology can also relieve the aforementioned problem based on monitoring the wireless network's utilization situation. This paper proposes to provide the LRS service using an effective-vision-area-based clustering algorithm with the adaptive video-streaming technique (EVAC-AV) based on the effective vision of the cameras in vehicles. EVAC-AV can construct clusters such that a driver X can join a suitable cluster to get the LRS service from the appropriate vehicle ahead of X to have additional vision. Additionally, the adaptive video-streaming technique is adopted to have an adaptive LRS video quality in EVAC-AV based on the IEEE 802.11p wireless network's utilization condition. In this paper, we compare the proposed EVAC-AV control scheme for LRS service with the following: 1) other LRS service schemes that did not adopt the clustering mechanism and 2) other clustering algorithms in terms of different performance metrics to prove EVAC-AV's effectiveness.

Design and Analysis of Adaptive Control Systems Over Wireless Networks

In this paper, we study the design and analysis of adaptive control systems over wireless networks using event-triggering control theory. The proposed event-triggered adaptive control methodology schedules the data exchange dependent upon errors exceeding user-defined thresholds to reduce wireless network utilization and guarantees system stability and command following performance in the presence of system uncertainties. Specifically, we analyze stability and boundedness of the overall closed-loop dynamical system, characterize the effect of user-defined thresholds and adaptive controller design parameters to the system performance, and discuss conditions to make the resulting command following performance error sufficiently small. An illustrative numerical example is provided to demonstrate the efficacy of the proposed approach.

Mobility management in IEEE 802.11 WLAN using SDN/NFV technologies

IEEE 802.11 wireless LAN is proliferating since the increased trend in the wireless network utilization on mobile devices. Accuracy, fast content delivery, and reliable mobility support are essential features of any network to support the changing trend in a wireless network. However, traditional architectures in wireless LAN (WLANs or WiFi) always endured from challenges such as the provision of consistent mobility, real-time packet flow, and seamless handoff. Generally, most of the WLAN only relies on signal strength for handoff which is not sufficient enough for fair selection of an access point (AP) and therefore causes imperfect performance of the network. We present a novel mobility management scheme for WLANs to deal with the mobility management issues, and load balancing by software-defined network (SDN) and network function virtualization (NFV) technologies. The proposed scheme is based on logical AP (LAP) that keeps a connection with the user/mobile terminal (MT) during handoff triggered by either the user or the SDN controller for seamless mobility. It also involves the current state of each AP in addition to traditional parameters of WLAN. We implemented the proposed scheme on a real testbed in a WLAN environment. The evaluation results authenticate that our proposed scheme provides robust handover without throughput degradation and load imbalance among adjacent APs, and allocates the best AP in the neighboring region. Moreover, our proposed scheme is feasible to implement since it did not require any modification at the mobile terminal.

On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems

The last decade has witnessed an increased interest in physical systems controlled over wireless networks (networked control systems). These systems allow the computation of control signals via processors that are not attached to the physical systems, and the feedback loops are closed over wireless networks. The contribution of this paper is to design and analyze event-triggered decentralized and distributed adaptive control architectures for uncertain networked large-scale modular systems; that is, systems consist of physically-interconnected modules controlled over wireless networks. Specifically, the proposed adaptive architectures guarantee overall system stability while reducing wireless network utilization and achieving a given system performance in the presence of system uncertainties that can result from modeling and degraded modes of operation of the modules and their interconnections between each other. In addition to the theoretical findings including rigorous system stability and the boundedness analysis of the closed-loop dynamical system, as well as the characterization of the effect of user-defined event-triggering thresholds and the design parameters of the proposed adaptive architectures on the overall system performance, an illustrative numerical example is further provided to demonstrate the efficacy of the proposed decentralized and distributed control approaches.

Markov decision model based handoff selection algorithm for heterogeneous wireless networks

Coexistence of multiple wireless access technologies will be an indicator of next-generation wireless network, and the integration of heterogeneous wireless networks will meet the needs of high-performance services for mobile users. According to unique quality of service (QoS) requirements of different service type users in heterogeneous environment, the Markov decision model based handoff selection algorithm is proposed in this paper. A heterogeneous wireless network architecture based on the software defined network (SDN) is established to realize the transparency control of heterogeneous networks. Network state information of heterogeneous wireless networks is mastered by SDN controller. It is responsible for scheduling network resources dynamically according to the performance characteristics of each network. If the network state information in equal interval is sampled, the next moment state of network is only related to the current network state and action, but it is not related to the historical state. The problem of handoff selection for heterogeneous wireless networks is modeled as a Markov process with discrete time and continuous state. To predict the next moment state of network by Markov process to obtain a reward, when the reward is positive, it represents the income; when it is negative, it represents the cost. An immediate reward function is constructed for real-time service and non real-time service users respectively according to their different state attributes of the network. Considering five state attributes of wireless network as follows:delay, delay jitter, bandwidth, error rate and network load, the immediate reward function is constructed with weighted summation. Due to the difference in attribute weight distribution among different service type users, the attribute weights are determined by the analytic hierarchy process. In the long term, the objective function which consists of immediate reward function sequence is used to measure future long-term rewards. Then expected reward function based on the state action pair is constructed to obtain the handoff strategy of the maximum expected return by the iterative method of successive approximation. The proposed Markov decision model based handoff selection algorithm is used in simulation of the Matlab platform. The simulation results show that the proposed method can select the optimal handoff strategy for different service type users and reduce the blocking rate, thereby improving the QoS of users and resource utilization of wireless networks.

Load Balancing Early Handoff Scheme for Multimedia Data Transmission in Wireless Networks

This study developed a load balancing early handoff scheme that enables transfer part of heavy load in a base station to the others using the overlap between base stations in wireless cellular networks. The proposed scheme reduces the new call blocking probability (CBP) and handoff call connection dropping probability (CDP) as well as to increase the resource utilization of wireless networks. Since the scheme is triggered by a connection request received by the base station, it immediately reflects the loading of the base station. The proposed load balancing early handoff policy can be integrated in diverse call admission control schemes. The effectiveness of the load balancing early handoff scheme is demonstrated by integrating it with DMTBR to improve the call admission control function. Additionally, NS2 is used to simulate the load balancing early handoff scheme in a wireless network with wrap-around model. The simulation results show that the proposed scheme can effectively improve the wireless network resource utilization.

A service-oriented spectrum allocation algorithm using enhanced PSO for cognitive wireless networks

Because of the increasing growth of spectrum utilization in wireless networks, dynamic spectrum allocation (DSA) using cognitive radio has recently attracted attention. DSA provides a promising communication paradigm to relieve the bottleneck that arises in the spectrum utilization of wireless networks. In a cognitive wireless network, deficient matching between user demands and spectrum resources can result in communication deterioration; however, superfluous matching can lead to inefficient spectrum utilization. In this study, a service-oriented, multi-attribute normalization model is developed that considers user demands and spectrum characteristics. Based on this model, a service-oriented DSA, which applies the graph coloring problem (GCP) and an enhanced particle swarm optimization (PSO) method, is proposed to efficiently satisfy user service demands and achieve better utilization and fairness rewards. The simulation results demonstrate that the algorithm satisfies the requirements for accurate spectrum allocations in cognitive wireless networks and performs better with respect to iteration efficiency and utilization rewards than the existing algorithms.

Fast and Accurate Cooperative Tracking in Wireless Networks

The utility of wireless networks for many applications is increased if the locations of the nodes in the network can be tracked based on the measurements between communicating nodes. Many applications, such as tracking fire fighters in large buildings, require the deployment of mobile ad hoc networks. Real-time tracking in such environments is a challenging task, particularly combined with restrictions on computational and communication resources in mobile devices. In this paper, we present a new algorithm using the Bayesian framework for cooperative tracking of nodes, which allows accurate tracking over large areas using only a small number of anchor nodes. The proposed algorithm requires lower computational and communication resources than existing algorithms. Simulation results show that the algorithm performs well with the tracking error being close to the posterior Cramer-Rao lower bound that we derive for cooperative tracking. Experimental results for a network deployed in an indoor office environment with external global position system-referenced anchor nodes are presented. A computationally simple indoor range error model for measurements at the 5.8-GHz ISM band that yields positioning accuracy close to that obtained when using the actual range error distribution is also presented.

Investigation on Remote Monitoring System for Heat-Supply Thermal Characters Based GPRS

With the strategy requirements of low-carbon and energy-saving, the appropriate auto-control methods become more and more important. Aiming to monitor the thermal characters of the heat exchange station in the real time, the investigation framework in this paper presents an integral solution. We incorporate wireless data gathering from different heat exchange station, sending data to the service through the Internet and managing by sever.Net. We exploit formalization software by three-layer Browser-Server structure to regulate how thermal characters data should be gathered, communicated among concerned parties and interpreted to server/Date Base in decision-making. Meanwhile, the communication among the nodes that form the distributed system is implemented by means of the utilization of wireless networks, and secondary data transmission services (GSM or GPRS) provided by a mobile telephone operator. This monitoring system has been running in good condition and stable operation with lower fault rate and higher credibility data. This system, once fully deployed, can significantly reduce human labor and provide real-time data monitoring to achieve the propose of energy conservation and emission reduction.

Survey on Contemporary Remote Surveillance Systems for Public Safety

Surveillance systems provide the capability of collecting authentic and purposeful information and forming appropriate decisions to enhance safety. This paper reviews concisely the historical development and current state of the three different generations of contemporary surveillance systems. Recently, in addition to the employment of the incessantly enlarging variety of sensors, the inclination has been to utilize more intelligence and situation awareness capabilities to assist the human surveillance personnel. The most recent generation is decomposed into multisensor environments, video and audio surveillance, wireless sensor networks, distributed intelligence and awareness, architecture and middleware, and the utilization of mobile robots. The prominent difficulties of the contemporary surveillance systems are highlighted. These challenging dilemmas are composed of the attainment of real-time distributed architecture, awareness and intelligence, existing difficulties in video surveillance, the utilization of wireless networks, the energy efficiency of remote sensors, the location difficulties of surveillance personnel, and scalability difficulties. The paper is concluded with concise summary and the future of surveillance systems for public safety.

Delay constrained optimal resource utilization of wireless networks for distributed control systems

An optimal resource utilization framework to analyze the impact of end-to-end delay thresholds on the wireless network throughput is developed. In contrast to conventional networks where lumped transmission and queuing delays are used to model the end-to-end delay, the proposed framework models these delay components separately to analyze their relative contribution to the end-to-end delay when stringent delay thresholds are used. A 'log' utility maximization problem is formulated and its distributed implementation using dual decomposition is proposed. Our optimization results show that decreasing the delay threshold leads to larger contribution from the transmission delay to the end-to-end delay.