Zhanlin Ji

A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation

This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide ‘best’ car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S) paradigm.

A Cloud-Based X73 Ubiquitous Mobile Healthcare System: Design and Implementation

Based on the user-centric paradigm for next generation networks, this paper describes a ubiquitous mobile healthcare (uHealth) system based on the ISO/IEEE 11073 personal health data (PHD) standards (X73) and cloud computing techniques. A number of design issues associated with the system implementation are outlined. The system includes a middleware on the user side, providing a plug-and-play environment for heterogeneous wireless sensors and mobile terminals utilizing different communication protocols and a distributed “big data” processing subsystem in the cloud. The design and implementation of this system are envisaged as an efficient solution for the next generation of uHealth systems.

Performance evaluation of 'WBC over DVB-H' system

Wireless billboard channels (WBCs) are fundamental to the consumer-centric business model (CBM) of the new emerging ubiquitous consumer wireless world (UCWW). They were introduced as instruments to facilitate service advertisement, discovery and association (ADA). A WBC three-layer model, a set of efficient algorithms and a software testbed for WBC over digital video broadcast - handheld (DVB-H), is set out in this paper. With the proposed end-to-end novel solution, the service advertisements can be broadcast on WBC in an efficient and intelligent way.

Reliable and efficient Advertisements Delivery Protocol for use on Wireless Billboard Channels

This paper proposes a novel, reliable and efficient advertisements delivery protocol (ADP) for use in unidirectional wireless billboard channels (WBCs) for IP datacasting (lPDC). The ADP is based on a modified asynchronous layered coding (ALC) protocol and uses a forward error correction (FEC) with Reed-Solomon (RS) coding to guarantee packet-level reliable data broadcasting. The ADP implementation is presented. The ADP performance is evaluated and compared to similar existing protocols. The results show that in addition to being less complex and producing less overhead, the ADP is more efficient in terms of the encoding/decoding speed achieved.

A cloud-based intelligent car parking services for smart cities

This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities, as an important application deployed on the Internet of Things (IoT) paradigm. The corresponding IoT sub-system includes sensor layer, communication layer, and application layer. A high-level view of the system architecture is outlined. To demonstrate the provision of car parking services with the proposed platform, a cloud-based intelligent car parking system for use within a University campus is described along with details of its design and implementation.

A personalized middleware for ubiquitous mHealth services

This paper presents a personalized middleware for mobile eHealth (mHealth) services for use in the Ubiquitous Consumer Wireless World (UCWW). The middleware was developed based on the ISO/IEEE 11073 personal health data (PHD) standards. It works as a multi-agent system (MAS) to provide intelligent collection of physiological data from medical sensors attached to human body, and subsequent sending of gathered data to a log data node by utilizing the Always Best Connected and best Served (ABC&S) communication paradigm. A number of design issues associated with the middleware implementation are outlined.

Implementation of an Intelligent Framework for Utilization within an InfoStation-based mLearning Environment

This paper presents an intelligent, light-weight, distributed, Java-based framework for the provision of mobile services (mServices) within an Info Station-based mLearning environment. This is maintained by a light-weight HTTP container. A multi-agent system acts as a bridge between the mService applications and the mobile users. Implementation issues associated with the framework and details of the systems facilitation of context sensitivity and service content adaptation are also discussed.

Development of a Sencha-Touch mTest Mobile App for a mLearning System

This paper presents an HTML5 mobile test (mTest) application for use in an agent-based mobile eLearning (mLearning) system. The application was developed based on the Sencha Touch framework. The mTest application receives XML data from a personal assistant agent on the client side and can work in different mobile operating system environments, such as iOS, Android, BlackBerry, Windows Phone, etc. The application is designed by means of the Model View Controller (MVC) design pattern, and is easy to maintain, test, and extend. Moreover, the mTest session is stored on the mLearning server side, which facilitates the handover from one user device to another during the service session, and enables an always best connected and best served (ABC&S) communication mode.

Efficient collecting, clustering, scheduling, and indexing schemes for advertisement of services over Wireless Billboard Channels

Efficient mechanisms for broadcasting of service advertisements to Mobile Terminals (MTs) over Wireless Billboard Channels (WBC) are of significant importance for the emerging Ubiquitous Consumer Wireless World (UCWW). Reducing the MT access time and tuning time are the main goals of these broadcasting mechanisms. The challenge is to define reasonable WBC data management algorithm. Diverse from previous studies, our approach takes into consideration four important data organization schemes, namely the collecting, clustering, scheduling, and indexing of service description. The results show that the performance of the resultant WBC algorithm is close to optimal.

On WBC Service Layer for UCWW

This paper describes the main service layers elements of wireless billboard channels (WBCs) used for service advertisement and discovery in the ubiquitous consumer wireless world. (UCWW). The WBC service providers central node works as a multi-agent system (MAS) for collecting, clustering, scheduling, indexing, and encoding of service descriptions (SDs). After receiving the needed SDs and based on the user profile and terminals composite capabilities/preferences profile (CC/PP), the terminal discovers the ldquobestrdquo services in each category and associates with them in an intelligent way.