Xiuwen Fu

People-Centric Service for mHealth of Wheelchair Users in Smart Cities

Urban dwellers are soul of smart cities, and all final aims of city applications are people-centric. mHealth is a new generation method for personal healthcare, specially smart phone is widely used to interact with surroundings by the disabled and elderly people in smart cities. Existing massive of sensors, actuators, and smart objects are separated and controlled in different owners and community. Mobile devices of people-centric sensing (PCS) can receive data in opportunistic sensing according to mobile geo-location, dynamic social relationship, and interests of people, etc. In this work, we present a real-time health-driven model for people-centric healthcare context, and present a social-aware architecture to support smart objects mapping to online social networks, then present discovering and interacting with shared smart objects in a virtual community. Finally, we present a prototype system to validate the people-centric mHealth service model.

Human Postures Recognition Based on D-S Evidence Theory and Multi-sensor Data Fusion

Body Sensor Networks (BSNs) are conveying notable attention due to their capabilities in supporting humans in their daily life. In particular, real-time and noninvasive monitoring of assisted livings is having great potential in many application domains, such as health care, sport/fitness, e-entertainment, social interaction and e-factory. And the basic as well as crucial feature characterizing such systems is the ability of detecting human actions and behaviors. In this paper, a novel approach for human posture recognition is proposed. Our BSN system relies on an information fusion method based on the D-S Evidence Theory, which is applied on the accelerometer data coming from multiple wearable sensors. Experimental results demonstrate that the developed prototype system is able to achieve a recognition accuracy between 98.5% and 100% for basic postures (standing, sitting, lying, squatting).

Empowering the Invulnerability of Wireless Sensor Networks through Super Wires and Super Nodes

Network invulnerability is an important property of networks that operate under very likely physical attacks and failures due to operating environmental conditions. A notable example of such networks is wireless fire alarming networks (WFANs) that are strongly related to the safety of the public and to the efficiency of rescuing. WFANs based on wireless sensor networks (WSN) are gaining momentum as they considered a viable and effective solution. However, the current research on invulnerability in the WSN domain mainly focuses on the optimization of the sensor node layout in the initialized network and on routing protocols, whereas the importance of optimization of the deployed network is less explored. In this paper, we show that the invulnerability of WSNs can be improved by introducing two new elements: super wires and super nodes. Moreover, on the basis of the definition of a novel centrality measurement, we propose two layout schemes based on super wires and super nodes for enhancing network invulnerability. The simulation analysis indicates that the proposed schemes are able to enhance the invulnerability of the network with low network construction costs.

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. However, currently both theories are not jointly applied to have further improvements in the generation of WSN topologies. Therefore, this paper proposes a cluster-structured evolution model of WSNs considering the characteristics of both networks. With introduction of energy sensitivity and maximum limitation of degrees that a cluster head could have, the performance of our model can be ensured. In order to give an overall assessment of lifting effects of shortcuts, four placement schemes of shortcuts are analyzed. The characteristics of small-world network and scale-free network of our model are proved via theoretical derivation and simulations. Besides, we find that, by introducing shortcuts into scale-free wireless sensor network, the performance of the network can be improved concerning energy-saving and invulnerability, and we discover that the schemes constructing shortcuts between cluster heads and the sink node have better promoted effects than the scheme building shortcuts between pairs of cluster heads, and the schemes based on the preferential principle are superior to the schemes based on the random principle.

A framework for WSN-based opportunistic networks

How to shorten time delay and enhance delivery ratio is still an open problem in the study of opportunistic networks. Most proposals are trying to deal with this issue by introducing infrastructures. Although related research has been proven to be useful in improving the routing performance of the network, there is still room for further improvement. In this article, inspired by the powerful message synchronization capability of wireless sensor networks (WSNs), we propose a new opportunistic network framework called WON that introduces WSNs into opportunistic network. With the support of WSNs, fast message delivery and high success ratio can be achieved. We specifically present the layered architecture of WON and compare WON to existing architectures in opportunistic networking. The simulation results concerning delivery delay and success ratio are highly encouraging. Finally, open issues are outlined.

Reliable Data Transmission Method for Hybrid Industrial Network Based on Mobile Object

Industrial Wireless Sensor Networks (IWSNs) are the core component of the Industrial Internet of Things (IIOT). However, the environmental noise caused by the physical environment, such as the obstacles in the industrial scenes will have a significantly negative impact on the performance of IWSNs. For the wireless links, it will lead to the decrease of the transmission distance, etc. For the sensor nodes, it will give rise to the failure probability of nodes and shortening the life cycle. As the common conveyor equipment, Automatic Guided Vehicle (AGV) is responsible for material delivering in industry. Due to its flexibility and reliability, reliable maintenance of IWSNs can be guaranteed. This paper firstly proposed an idea of choosing AGV as mobile object, through cooperation and networking with IWSNs, to achieve reliable data transmission. For single or multiple nodes failure, we respectively design Temporary Link and Mobile Delivering schemes, in order to ensure the reliable data transmission towards various failure cases.

A New Modeling Method of Photoplethysmography Signal Based on Lognormal Basis

Human photoplethysmography (PPG) signal carries abundant physio-logical and pathological information of cardiovascular system, which can be used to monitor cardiovascular health in the daily life. The existing modeling methods are mainly based on Gaussian basis, which fail to conform to the long-tail features of PPG pulse waveforms. And other several existing methods based on Lognormal basis don’t work well in daily monitoring. In this paper, we proposed a new modeling method based on the long-tail Lognormal basis. Fitting calculations get an adaptive time domain by introducing the mode of the corresponding Lognormal basis and are implemented by the proposed successive-fitting solution. The simulations have proved that the proposed method has a good fitting accuracy and efficiency and is suitable for daily monitoring of cardiovascular health in body sensor networks (BSNs). Besides that, a closer relation between the cardiovascular health and the vector parameters of the Lognormal basis also can be expected.

RFID Based Real-Time Manufacturing Information Perception and Processing

Timeliness, accuracy and effectiveness of manufacturing information in manufacturing and business process management have become important factors of constraint to business growth. Single RFID (Radio Frequency Identification) technology with uncertainty will cause great difficulties for application systems. This paper mainly focuses on the process of manufacturing information, real-time information perception and processing problems. It achieves real-time manufacturing information acquisition and processing by combining RFID and sensor technology, which uses Complex Event Processing (CEP) mechanism to realize sensor and RFID data fusion. First of all, the event processing framework which is from the perspective of the integration of sensors and RFID is given. Then, real-time acquisition and intelligent information processing models were introduced, including primitive event handling and complex event processing method. Finally, the practicality of our method was verified through applying it to a mold manufacturing enterprise management field.

Design and Implementation of Fire-Alarming System for Indoor Environment Based on Wireless Sensor Networks

Wireless sensor network (WSN) as an emerging networking technology with strong capability to locally and collaboratively sense and interpret data from environment, has been widely implemented in various emergency situations including firefighting. In this paper, we propose a fire-alarming system called fire-alarming system for indoor environment (FASIE) which innovatively integrates wireless fire-alarming network with handheld fire-rescuing support system. Unlike traditional firefighting networks with implementation of WSN, FASIE is capable of providing full service to firefighting activities including fire-alarming, fire-rescuing and firefighter orientation. Aiming to better illustrate FASIE, we first give an overall description of FASIE and presents the architecture of the system. And then, the hardware and system performance are introduced.