Earticle

This paper proposes a new wireless statistical division multiplexing (SDM) communication system, which is based on the two-input and two-output wireless communication experimental platform constructed and presented in our previous work. This novel system aims to transmit source signals simultaneously in the same frequency band over wireless channel and recovers the source signals at the receiver by utilizing the statistical characteristics of source signals and broadcasting characteristics of wireless channel. Therefore, the spectrum efficiency of SDM system is high compared to those of time division multiplexing (TDM), frequency division multiplexing (FDM), and code division multiplexing (CDM) systems, in which TDM, FDM and CDM signals are limited in time interval, frequency band and code. Taking advantage of the statistical properties of transmitted source signals, the SDM system can easily recover or retrieve them through the blind source separation (BSS) techniques at the receiver. This paper first introduces the system model of SDM briefly, but the main purpose is to analyze the performance of it including the relationship between the separation quality and the characteristics of source signals, the power of transmitters and separation algorithms. The performance validity and corresponding analysis are confirmed and performed through realistic experiments.

Past few decades have witnessed large increase in number of vehicles on roads due to which the traffic safety needs have also become complex and hence necessary to be taken care of. Vehicular ad hoc networks (VANETs) are becoming an asset for achieving all these goals. VANETs provide applications like driver assistance, passenger comfort and vehicle safety. Apart from its general characteristics due to the dynamic nature of road environments and traffic patterns, communication linkage among vehicles in VANETs suffers breakage problem hence requires a very reliable routing protocol. To manage the communication efficiently many routing protocols are already available for MANETs which can be further used for routing and communication among vehicles in VANETs, but characteristics of these two networks (VANET and MANET) are very different, so there is requirement to enhance these MANET routing protocols so that those can be used in VANETs. When we use some existing routing protocols in VANET then number of link breakage are surprisingly high because mobility is higher in VANETs as compared to MANETs. So this paper presents advanced version of an existing MANET routing protocol for better performance in VANET environment. The new routing protocol has removed problem of large number of routing error messages which was existing in AODV routing protocol. Protocol proposed in this paper has better results as compared to AODV and paper has also shown results of simulation and also elaborated the findings.

Under the background of the current food safety issues highlighted, to improve the Under-forest economic product tracing efficiency, and reduce the tracking and monitoring cost, and as the under-forest economic product is sensitive to environmental parameters, this paper proposed a new method integrating RFID Barcode sensor technology to keep track of all stakes, in this process, in the traceability of storage, circulation, processing information, and the system can monitor circulation of environmental factors, such as temperature, humidity, and the paper analyzed the integrated approach of traceability system. The created system offers unique identification for under-forest product by barcode technology. And it also monitors the real-time environmental parameters of under-forest economic product by RFID (Radio Frequency Identification) electronic tag and sensor technology. The constructed system integrates the key links: the planting, processing, storage, sales, transportation and consumption of product. And it supplies enterprises, suppliers, agents and customers with under-forest product’s quality traceability. In addition, this system provides a feasible scheme for exact quality traceability of under-forest economic product.

Satellite systems are a perfect alternative system to cover wide areas on the earth, especially oceans and desert areas, and to provide broadband communications to all aircraft. Low earth orbit (LEO) satellite constellations are important in future air traffic control (ATC) communication networks due to their advantages, such as whole global coverage and low propagation time. However, the satellites are not stationary; a contact between aircraft and satellite may be subjected to handovers. Many techniques have been proposed in order to deal with the cell handover issue. In this paper, the Handover procedure implication in the communication blocking probability is estimated via simulation. To reduce the high number of Handovers, some strategies are used to cope with. Simulation models have been developed to improve all the features evaluated in this paper.

Collaborative emergency management mode provides a new idea for further reducing system safety risk in the chemical park. In this paper, the cloud computing and the expert system were used for the framework design of the emergency management information system to enhance emergency response capability of collaborative emergency management mechanisms. The use of middleware integrated with multi-source data achieved the unified data manipulation interface. The intelligent delivery of information system was provided. Using Agent-middleware technology to build decision layer could make massive data analysis, data mining and decision from the "cloud computing" platform access for every user. It can provide the necessary theoretical and technical support for enterprises in the chemical park to give full play to the collaborative emergency management capability.

Wireless sensor network (WSNs) is more and more attention from researchers in recent years. Wireless sensor network (WSN) is a large number of sensor through the way of wireless communication, mutual connection, the processing, the transmission of information network, can be real-time monitoring, perception and gathering network distribution area of various environmental monitoring object information, or information to process and transmit the information to the user. This article was based on the virtual MIMO STBC space-time coding technology combined with a cluster head cooperative transmission architecture, this paper proposes a suitable for clustering wireless sensor network based on STBC energy-saving transmission scheme of virtual MIMO space-time coding based on STBC based space-time coding in the MIMO system ber performance analysis, SCHCT scheme of the overall energy consumption model is established.

Wireless Sensor Nodes (SNs) in Internet of Things (IOT), have revolutionized and changed the perspective of internet. With the introduction of IPv6 over Low Power Wireless Personal Area Network (6LoWPAN), it is possible to connect these constrained devices to IPv6 Networks and transmit IPv6 packets. Mobility of such devices is achieved by deploying/installing them on many mobile (moving) objects including mobile gadgets, physical objects (living or non-living) etc. Therefore it requires sufficient Mobility Management Schemes for data transmission. Host based mobility protocols; MIPv6 and its extensions are not suitable for resource constrained devices. In this paper, our focus is to study PMIPv6 based mobility management and different Scenarios based on it along with sensor’s mobility. Although existing research has made many improvements in terms of HO latency but less attention has paid towards signaling cost and packet loss, particularly in time critical areas. The study provides the complete survey of network based mobility management schemes, 6LoWPAN mobility and challenges associated with them.

With regard to the subject of sensor network node optimization, a strategy for wireless sensor network coverage optimization based on improved fish swarm algorithm is proposed in this paper. The improved algorithm is targeted on network coverage, node utilization rate and energy consumption balance, which makes use of the ergodic property of chaotic motion to overcome the disadvantage that artificial fish swarm algorithm may easily lead to regional optimization. As for this, the global searching ability of algorithm is improved and the solving efficiency is optimized. Moreover, the algorithm is able to adapt to complicated environment. Shown by related simulation experiment, the improved fish swarm algorithm could effectively optimize sensor network node deployment and improve network coverage rate. Compared with basic artificial fish swarm algorithm, improved fish swarm algorithm increases network coverage rate by 8.9%.

The quality of service (QoS) standard in Mobile Ad-hoc Networks (MANET's) is much more challenging compared to the wired networks. In the last decade there was a lot of attention in the area of integration of QoS standard in MANET protocols. QoS-based routing protocols are integral part of any QoS solution, because their function is to check whether the nodes in the network are able to provide services to network applications. These protocols play a key role in controlling the information received and delivered from data transfer sessions. The purpose of this paper is to study and review the QoS routing schemes designed for IEEE 802.11 standard in Multihop Ad-hoc networks. Moreover, the paper simulates a routing scheme and shows results for an effective end-to-end communication.

The technology of wireless sensor network is a new direction in the field of information science. With the development of science and technology, in modern life, its application is more and more widely. The technology is usually used for information communication in a wide range of network. Sensor network communication can be completed without interference. But the communication process of sensors in some special interferences, such as high-rise block between the sensor or wireless signal interference in the space, communication between wireless sensor network and control terminal may be interrupted. This paper proposes an efficient, stable self-organizing network protocol algorithm in the situation, to realize self organization and information communication. Using STM32 microcontroller as network nodes, it achieves a low power, high speed, high performance wireless ad hoc network, the node and terminal can form a stable network communication, quality of the network communication can be further improved. And compared with the AODV by using NS2, verified the feasibility of routing protocol in this paper.

Hybrid Wireless Networks are emerging as a promising new technology, benefiting from both fixed and ad-hoc networks technologies whilst alleviating some critical problems in these networks. Gateway discovery is one of the major components in order to realize a HWN，and it has to be optimized in order to release wireless resources for the data transmissions. In this sense, we apply biologically inspired metaphor to the Gateway Discovery problem in these networks, and present a new approach-Adaptive Distributed gateway Discovery with Swarm Intelligence (ADDSI). Simulations have been conducted to demonstrate the performance of the proposed approach and to compare it with certain existing schemes in terms of packet delivery ratio, average end-to-end delay and normalized routing overhead.

High accuracy and repetitive tasks have become the two contradictory needs of any industrial process. By introducing autonomous robotic applications, simple repetitive tasks can be accomplished keeping the demands of the accuracy and speed in mind. However, developing these applications for industries becomes a major problem to be tackled in terms of cost. In this paper, the design, implementation and experimental results of a simple and efficient wireless control protocol for small scale robotic arm is presented. The main objective of the research was to investigate RF transmission algorithms, design and implement, and obtain a small cost effective full remote control of a robotic arm without the use of a Personal Computer. The system is equipped with joysticks, two Arduino microcontrollers communicating via RF link, and a servo controller. Joysticks are used to fully control the motion of the robotic arm.

The DV-Hoplocalization method has a series of superiorities, such as high distributiveness and expandability, which is perfectly fit for large-scale deployment. Moreover, it may lead to reasonable positioning accuracy merely in isotropous dense network. In practical environment, most scenes are anisotropic, with unevenly distributed nodes. In this paper, kernel PCR method is applied to collect and utilize the correlation between hop count and real distance, so as to build an optimal relationship model, converting hop count information between nodes into the value of real distance, so that DV-Hop method may be applicable to different environment. Compared with existing similar and typical methods, the method proposed in this paper has higher environment adaptability, as well as higher positioning accuracy and stability.

Interference limited environment is becoming a significant scenery in wireless network deployment particularly LTE-A systems due to introduction of enhancing technologies and scenariosbeing ensued by 3GPP standardization. Schedulers are being designed to optimize the utility of the scarce resources to be allocated to user equipment (UE) through time and frequency domains, however, the decision of the schedulers are pinned on the channel quality indicators e.g. interference. In this paper we have proposed amethod that would combine the Worst-case Fair Weighted-Fair Queuing (WF2Q) techniqueand Markov-chain to estimate the interference level prior to making final decision for allocation of resource units to UEs in order to enhance the network utility. Our simulation results showed that UE’s throughput can be improved with acceptable fairness.

Indoor localization based on existing WiFi signal strength is becoming increasingly prevalent and ubiquitous. The user-based localization algorithm utilizes the information of the Received Signal Strength(RSS) from the surrounding access points(APs) to determine the user position. In this paper, focusing on the development of a user localization uses existing WiFi environment for its low cost and ease of deployment. We propose an indoor localization of WiFi based on support vector machines(ILW-SVM), and use the bilinear median interpolation method(BMIM) to reduce the calibration effort on creating fingerprint map while still retaining the accuracy of user localization. According to comparison of accuracy of three different kernel functions, choosing the radial basis function(RBF) as kernel function. In addition, we also propose improved ILW-SVM algorithm to solve the indoor localization that nearest neighbor points are not concentrated. At last, overall comparison of kNN, ILW-SVM and improved ILW-SVM in consideration of accuracy. Experimental results indicate that the proposed algorithm can effectively reduce the calibration effort and exhibit superior performance in terms of localization accuracy and stabilization.

Broadband access technology has significant influences in the telecommunication industry. Worldwide interoperability for microwave access (WiMAX) is a broadband wireless technology which brings broadband experience to a wireless context. IEEE 802.16 Wireless MAN standard specifies a Medium Access Control (MAC) layer and a set of physical layers to provide fixed and mobile Broadband Wireless Access (BWA) in broad range of frequencies. The WiMAX forum has adopted IEEE 802.16 OFDM physical layer for the equipment manufacturer due to its robust performance in multipath environment. The aim of this paper is the performance evaluation of bit error rate in Wimax system under different combinations of digital modulation (BPSK, QPSK, 4-QAM and 16-QAM) and the Stanford University Interim (SUI) Channel model is selected for the wireless channel in the simulation. And the Wimax system incorporates Reed-Solomon (RS) encoder and Convolutional encoder with 1/2, 2/3 and 3/4 rated codes in FEC channel coding. It can be seen from the simulation results that the lower modulation and coding scheme provides better performance with less SNR in the Wimax communication system. The evaluation was done in simulation developed in MATLAB.

Mobile sink node properly used in routing protocols can improve network performance. Thus we investigate the state-of-the-art mobile sink based query-based and location-based routing protocols. The latter strategy can be further classified into backbone-based and rendezvous-based routing protocols. In this paper, we first describe the main principles of the most representative routing strategies with sink mobility support, and highlight their advantages and disadvantages. Descriptions and comparisons of several typical routing protocols are given to deepen the understanding.

In modern world, communication service providers are continuously met with the challenge of accommodating more users with in a limited allocated bandwidth. Due to this motivation service providers and manufactures are continuously in search of low bit rate speech coders that deliver high quality speech. The main objective of speech compression is to reduce the bits rate of speech for communication or storage without significant loss of its intelligibility. Wavelet based speech coding is a new technique used for speech compression. The main issue regarding wavelet based speech coding is to choose optimal wavelet to transform the speech signal. In this experiment we use two types of wavelets orthogonal and bi-orthogonal wavelets to transform the speech signal. Run length encoding algorithm is used to encode the threshold coefficient. Performance of this experiment is evaluated in terms of MSE, SNR, PSNR, RSE, and in terms of compression percentage

In recent years, wireless sensor network is becoming the hottest research fields, which opens up a wealth of opportunities for many application domains. Comprehensive performance of WSNs is important for planning and management of a construction network. In order to deal with the deficiency of existing evaluation methods for WSNs performance, an intelligent evaluation model based on fuzzy optimization neural network model is proposed, which introduces genetic algorithm to optimize the connection weight of the neural network model to achieve approximate optimal solution. The weights are to be regarded as initial values for the next step that a neural network is tuned finely further. Fuzzy optimization model is as activation function of the neural network, therefore the model has explicit physical meanings. This model is applied to evaluate WSNs performance of some samples, and the comparative analysis with other models shows that the model improves evaluation precision and efficiency and is practical. The first part is the research status and related problems. The second part is the establishment of evaluation model. The last part is the experimental analysis and conclusion.

Wireless sensor network (WSN) is a new research area in modern communications networks. Composed by many stationary or mobile sensor nodes, it constitutes a wireless network through self-organizing and multi-hop way. A sensor network system includes sensor node (end device), sink node (sink) and coordinator node (coordinator). The routing protocol of WSN is to find the optimal route between the source node and destination node. Its primary goal is to improve the quality of network service and achieve a fair and rational use of resources such as network bandwidth for various network nodes and terminals. The work focused on the typical and successful representative in the introduction of hierarchical routing protocol to data fusion technology—LEACH protocol. And the performances of LEACH simulation algorithms were analyzed through MATLAB simulation.