ZTE and Innofidei Achieve Industry's First Field IOT on Multiple TD-LTE USB Dongles in a Mobile Network Cell

ZTE Corporation, a leading global provider of telecommunications equipment and networking solutions, announced on May 11,2010 that ZTE Corporation and Innofidei have jointly delivered a significant breakthrough for the Time Division Long Term Evolution （TD-LTE） industry with the industry＇s first successful Inter-Operability Test（IOT） of multiple TD-LTE USB dongles in a single mobile network cell. The successful test was first performed in Hong Kong,

Success Rate Queue-Based Relocation Algorithm of Sensory Network to Overcome Non-Uniformly Distributed Obstacles

With the recent development of big data technology that collects and analyzes various data,the technology that continuously collects and analyzes the observed data is also drawing attention.Moreover,its importance is growing in data collection in areas where people cannot access.In general,it is not easy to properly deploy IoT wireless devices for data collection in these areas,and it is also inappropriate to use general wheel-based mobile devices for relocation.Recently,researches have been actively carried out on hopping moving models in place of wheel-based movement for the inaccessible regions.The majority of studies,however,so far have unrealistic assumptions that all IoT devices know the overall state of the network and the current state of each device.Moreover,various physical terrain environments,such as coarse gravel and sand,can change from time to time,and it is impossible for all devices to recognize these changes in real-time.In this paper,with the migration success rate of IoT hopping devices being relocated,the method of estimating the varying environment is proposed.This method can actively reflect the changing environment in real-time and is a realistic distributed environment-based relocation protocol on behalf of non-realistic,theory-based relocation protocols.Also,one of the significant contributions of this paper is to evaluate its performance using the OMNeT++simulation tool for the first time in the world to reflect actual physical environmental conditions.Compared to previous studies,the proposed protocol was able to actively reflect the state of the surrounding environment,which resulted in improved migration success rates and higher energy efficiency.

5G Data Offloading Using Fuzzification with Grasshopper Optimization Technique

Data offloading at the network with less time and reduced energy con-sumption are highly important for every technology.Smart applications process the data very quickly with less power consumption.As technology grows towards 5G communication architecture,identifying a solution for QoS in 5G through energy-efficient computing is important.In this proposed model,we perform data offloading at 5G using the fuzzification concept.Mobile IoT devices create tasks in the network and are offloaded in the cloud or mobile edge nodes based on energy consumption.Two base stations,small(SB)and macro(MB)stations,are initialized and thefirst tasks randomly computed.Then,the tasks are pro-cessed using a fuzzification algorithm to select SB or MB in the central server.The optimization is performed using a grasshopper algorithm for improving the QoS of the 5G network.The result is compared with existing algorithms and indi-cates that the proposed system improves the performance of the system with a cost of 44.64 J for computing 250 benchmark tasks.

Overview of Ultra-Wideband Transceivers——System Architectures and Applications

The Ultra-WideBand(UWB) technique, which offers good energy efficiency, flexible data rate, and high ranging accuracy, has recently been recognized as a revived wireless technology for short distance communication.This paper presents a brief overview of two UWB techniques, covering Impulse-Radio UWB(IR-UWB) and FrequencyModulation UWB(FM-UWB) methods. The link margin enhancement technique, Very-WideBand(VWB), and power consumption reducing technique, chirp UWB, are also introduced. Then, several potential applications of IR-UWB with transceiver architectures are addressed, including high data rate proximity communication and secure wireless connectivity. With fine-ranging and energy-efficient communication features, the UWB wireless technology is highly promising for secure mobile Internet of Things(IoT) applications.