Yiming Miao

Narrow Band Internet of Things

In this paper, we review the background and state-of-the-art of the narrow-band Internet of Things (NB-IoT). We first introduce NB-IoT general background, development history, and standardization. Then, we present NB-IoT features through the review of current national and international studies on NB-IoT technology, where we focus on basic theories and key technologies, i.e., connection count analysis theory, delay analysis theory, coverage enhancement mechanism, ultra-low power consumption technology, and coupling relationship between signaling and data. Subsequently, we compare several performances of NB-IoT and other wireless and mobile communication technologies in aspects of latency, security, availability, data transmission rate, energy consumption, spectral efficiency, and coverage area. Moreover, we analyze five intelligent applications of NB-IoT, including smart cities, smart buildings, intelligent environment monitoring, intelligent user services, and smart metering. Finally, we summarize security requirements of NB-IoT, which need to be solved urgently. These discussions aim to provide a comprehensive overview of NB-IoT, which can help readers to understand clearly the scientific problems and future research directions of NB-IoT.

Big Health Application System based on Health Internet of Things and Big Data

The world is facing problems, such as uneven distribution of medical resources, the growing chronic diseases, and the increasing medical expenses. Blending the latest information technology into the healthcare system will greatly mitigate the problems. This paper presents the big health application system based on the health Internet of Things and big data. The system architecture, key technologies, and typical applications of big health system are introduced in detail.

A software defined network routing in wireless multihop network

SDN has been touted as one of the most promising solutions for future Internet with the innovative design ideas that the control plane is logically centralized and decoupled from the data plane. Current research on SDN mainly focuses on wired network and data center, while software-defined wireless multi-hop network is put forth in a few researches, but only at stage of putting forth models and concepts. In this paper, we propose a novel routing protocol applied SDN in wireless multi-hop network. The implementation of the protocol is given in detail, and OPNET is used to build the model and carry on the simulation experiment. A large number of simulation experiments are performed to compare the key parameters of different networks. Simulation results show that our proposed routing protocol provide shortest path and disjoint multipath routing for nodes, and its network lifetime is longer than existing algorithms (OLSR, AODV) when traffic load reaches a certain value.

Narrowband Internet of Things: Simulation and Modeling

As a new type of low power wide area (LPWA) technology, the narrowband Internet of Things (NB-IoT) technology supports wide coverage and low bitrate services, thus it has a great potential to be the future commercial technology of LPWA network. Therefore, it has attracted attention of both academia and industry. In this paper, we present the NB-IoT development, and main characteristics and design objectives of NB-IoT according to 3GPP R13. In addition, we provide the review of related literatures about NB-IoT modeling and algorithm analysis. And we explain current problems of NB-IoT system-level modeling based on visualized simulation platform. Moreover, this paper is devoted to the construction of the NB-IoT model based on OPNET and the verification of its characteristics, such as wide coverage and high channel utilization. This paper mainly considers NB-IoT model design and realization in terms of NB-IoT physical layer characteristics. We summarize the correlated characteristics of NB-IoT uplink and downlink. Then we design and construct the NB-IoT model based on Long Term Evolution (LTE) network. Lastly, we use the constructed NB-IoT model for simulations and conduct an experiment on it using the LTE network with channel bandwidths of 3 MHz, 5 MHz, 10 MHz, 15 MHz, and 20 MHz. The simulation results have verified the performance of NB-IoT, wherein uplink time delay is lower than 10 s, channel utilization is higher than that of LTE network, and coverage area is larger than LTE network.

Cluster-Head Election Algorithm for Wireless Sensor Networks Based on LEACH Protocol

Nowadays, extending the service life of the WSN and reducing energy consumption are very important in the research of sensor networks. This paper proposes LEACH-ICE (LEACH Inner Cluster Election) algorithm based on LEACH algorithm. By adjusting the threshold function of the node selected to be cluster head and communicating with base station when node is closer to the base station, LEACH-ICE elects new cluster head inside the cluster when the resident energy of the former cluster head is lower than standard in order to improve the clustering mechanism. Simulation results show that the algorithm achieves saving energy and extending the service life of the WSN.

Cloud-assisted hugtive robot for affective interaction

Owing to the quickening pace and increasing pressure of daily life, people pay more and more attention to life in spiritual level. However, the time for meeting relatives or friends in person is quite short, therefore, it is more and more important for remote emotional communication (i.e., emotional perception and interaction) between users. The existing remote interaction systems mainly pay attention to voice and video communication, and it is difficult to meet the emotional needs of people. How to realize remote emotional communication between different people still faces challenge. In order to cope with this challenge, cloud-assisted hugtive robot (CH-Robot) system is designed in this paper. More specifically, firstly a new-type hugtive robot is designed. Secondly data collected by smart phone and smart clothing are adopted to judge emotional status of user, then emotional communication between users is realized through CH-Robot. Finally, a specific application scene is presented where a mother who is on business in other places comforts her child at home, thus to verify feasibility and effectiveness of the system.

Mobile Cloud Platform: Architecture, Deployment and Big Data Applications

With the rapid development of technology, mobile devices have become the basic necessities of life. Mobile devices have a great advantage of rapid calculation and Transmission and containing a variety of sensors. So we can distribute some computing tasks to our mobile devices. However, mobile devices still face a significant bottleneck. Such as the upper limit of computing power. Mobile devices will be inadequate when dealing with large-scale operations. Lack of storage capacity, mobile devices can not save a large amount of data. Small battery capacity, Equipment can not guarantee a long duration of working. In order to give the users a good experience, We need to use the resources of the mobile cloud platform to solve these problems. Mobile cloud platform has become the most essential facilities. The mobile cloud platform will not only consolidate resources and optimize computing power, but also serve as a processing platform with strong storage ability and decision-making capability. In such a strong demand, build a mobile cloud platform has become an indispensable thing.

iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

Abstract The Internet of Things (IoT) and Artificial Intelligence (AI) have been driving forces in propelling the technical innovation of intelligent manufacturing, promoting economic growth, and improving the quality of people’s lives. In an intelligent factory, introducing edge computing is conducive to expanding the computing resources, the network bandwidth, and the storage capacity of the cloud platform to the IoT edge, as well as realizing the resource scheduling and data uplink and downlink processing during the manufacturing and production processes. Moreover, the emotion recognition and interaction of the Affective Interaction Intelligence Robot (iRobot), with the IoT cloud platform as the infrastructure and AI technology as the core competitiveness, can better solve the psychological problems of the user. Accordingly, this has become a hot research topic in the field of intelligent manufacturing. In this paper, we describe an intelligent robot factory (iRobot-Factory), adopt a highly interconnected and deeply integrated intelligent production line, and introduce the overall structure, composition, characteristics, and advantages of such a factory in details from the two aspects of cognitive manufacturing and edge computing. Then, we describe the implementation of the volume production of iRobot using iRobot-Factory and look at the system performance experimental results and analysis of the iRobot-Factory and a traditional factory. The experimental results show that our scheme significantly improved both the chip assembly and the production efficiency, while the number of system instructions also decreased significantly. In addition, we discuss some open issues relating to cloud-end fusion, load balancing, and personalized robots to make reference to promoting the emotion recognition and interaction experience of users.

RADB: Random Access with Differentiated Barring for Latency-Constrained Applications in NB-IoT Network

With the development of LPWA (Low Power Wide Area) technology, the emerging NB-IoT (Narrowband Internet of Things) technology is becoming popular with wide area and low-data-rate services. In order to achieve objectives such as huge amount of connection and wide area coverage within NB-IoT, the problem of network congestion generated by random access of numerous devices should be solved. In this paper, we first introduce the background of NB-IoT and investigate the research on random access optimization algorithm. Then we summarize relevant features of NB-IoT uplink and narrowband physical random access channel and design random access with differentiated barring (RADB), which can improve the insufficiency of traditional dynamic access class barring method. At last, the algorithms proposed in this paper are realized with established NB-IoT model using OPNET Modeler platform, and simulations are conducted. The simulation results show that RADB is able to effectively solve preamble request conflict generated by random access of numerous devices and preferentially provide efficient and reliable random access for latency-sensitive devices.

Reliability-Aware Cooperative Node Sleeping and Clustering in Duty-Cycled Sensors Networks

Duty-cycled sensor networks provide a new perspective for improvement of energy efficiency and reliability assurance of multi-hop cooperative sensor networks. In this paper, we consider the energy-efficient cooperative node sleeping and clustering problems in cooperative sensor networks where clusters of relay nodes jointly transmit sensory data to the next hop. Our key idea for guaranteeing reliability is to exploit the on-demand number of cooperative nodes, facilitating the prediction of personalized end-to-end (ETE) reliability. Namely, a novel reliability-aware cooperative routing (RCR) scheme is proposed to select k-cooperative nodes at every hop (RCR-selection). After selecting k cooperative nodes at every hop, all of the non-cooperative nodes will go into sleep status. In order to solve the cooperative node clustering problem, we propose the RCR-based optimal relay assignment and cooperative data delivery (RCR-delivery) scheme to provide a low-communication-overhead data transmission and an optimal duty cycle for a given number of cooperative nodes when the network is dynamic, which enables part of cooperative nodes to switch into idle status for further energy saving. Through the extensive OPNET-based simulations, we show that the proposed scheme significantly outperforms the existing geographic routing schemes and beaconless geographic routings in wireless sensor networks with a highly dynamic wireless channel and controls energy consumption, while ETE reliability is effectively guaranteed.