Context-Aware Service Discovery in Ubiquitous Computing

2009 ◽  
pp. 1087-1095
Author(s):  
Huaqun Guo ◽  
Daqing Zhang ◽  
Lek-Heng Ngoh ◽  
Song Zheng ◽  
Wai-Choong Wong
Keyword(s):  
Ubiquitous Computing ◽  
Service Discovery ◽  
Large Scale ◽  
Technical Problem ◽  
Personal Digital Assistant ◽  
Context Aware ◽  
Wireless Devices ◽  
The Road ◽  
On The Road ◽  
Context Aware Service

The decreasing cost of networking technology and network-enabled devices is driving the large scale deployment of such networks and devices so as to offer many new and innovative services to users in ubiquitous computing. For example, when you carry your mobile laptop or personal digital assistant (PDA) around, or drive on the road, various services have been made available, ranging from finding a local printer to print a file, to instantaneously knowing about the traffic situation from traffic-cameras and other sensors along a highway. To achieve the above, every participating network- enabled end-device must solve an interesting technical problem, i.e., to locate a particular network service or device out of hundreds of thousands of accessible services and devices. Such service advertising and discovery is important as mobile devices and mobile wireless devices proliferate on networks. For this reason, a service discovery and advertising protocol is an important tool to help these devices find services on the network wherever they connect, and to let other network users know about the services they are offering. Context-aware service discovery, on the other hand, would help users to find services that are most appropriate based on fast-changing client conditions, such as location. For example, most laptops are statically configured to print to dedicated office printers. With the help of the context-awareness, a laptop could find the nearest accessible printer attached to the network that the laptop is currently plugged into.

Context-Aware Service Discovery in Ubiquitous Computing

2008 ◽  
pp. 119-125
Author(s):  
Huaqun Guo ◽  
Daqing Zhang ◽  
Lek-Heng Ngoh ◽  
Song Zheng ◽  
Wai-Choong Wong
Keyword(s):  
Ubiquitous Computing ◽  
Service Discovery ◽  
Large Scale ◽  
Personal Digital Assistant ◽  
Traffic Situation ◽  
Context Aware ◽  
The Road ◽  
On The Road ◽  
Networking Technology ◽  
Context Aware Service

The decreasing cost of networking technology and network-enabled devices is driving the large scale deployment of such networks and devices so as to offer many new and innovative services to users in ubiquitous computing. For example, when you carry your mobile laptop or personal digital assistant (PDA) around, or drive on the road, various services have been made available, ranging from finding a local printer to print a file, to instantaneously knowing about the traffic situation from traffic-cameras and other sensors along a highway.

Context-Aware Service Discovery in Ubiquitous Computing

2011 ◽  
Author(s):  
Huaqun Guo ◽  
Daqing Zhang ◽  
Lek-Heng Ngoh ◽  
Song Zheng
Keyword(s):  
Ubiquitous Computing ◽  
Service Discovery ◽  
Context Aware ◽  
Context Aware Service

scholarly journals RCVC: RSU-Aided Cluster-Based Vehicular Clouds Architecture for Urban Areas

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 193
Author(s):  
Mohamed Ben bezziane ◽  
Ahmed Korichi ◽  
Chaker Abdelaziz Kerrache ◽  
Mohamed el Amine Fekair
Keyword(s):  
Urban Areas ◽  
High Speed ◽  
Service Discovery ◽  
Cluster Head ◽  
Experimental Comparison ◽  
The Road ◽  
Road Side Unit ◽  
End To End Delay ◽  
End To End ◽  
On The Road

As a promising topic of research, Vehicular Cloud (VC) incorporates cloud computing and ad-hoc vehicular network (VANET). In VC, supplier vehicles provide their services to consumer vehicles in real-time. These services have a significant impact on the applications of internet access, storage and data. Due to the high-speed mobility of vehicles, users in consumer vehicles need a mechanism to discover services in their vicinity. Besides this, quality of service varies from one supplier vehicle to another; thus, consumer vehicles attempt to pick out the most appropriate services. In this paper, we propose a novel protocol named RSU-aided Cluster-based Vehicular Clouds protocol (RCVC), which constructs the VC using the Road Side Unit (RSU) directory and Cluster Head (CH) directory to make the resources of supplier vehicles more visible. While clusters of vehicles that move on the same road form a mobile cloud, the remaining vehicles form a different cloud on the road side unit. Furthermore, the consumption operation is achieved via the service selection method, which is managed by the CHs and RSUs based on a mathematical model to select the best services. Simulation results prove the effectiveness of our protocol in terms of service discovery and end-to-end delay, where we achieved service discovery and end-to-end delay of 3 × 10−3 s and 13 × 10−2 s, respectively. Moreover, we carried out an experimental comparison, revealing that the proposed method outperformed several states of the art protocols.

On the Road to Large-Scale 3D Monocular Scene Reconstruction using Deep Implicit Functions

2021 ◽  
Author(s):  
Thomas Roddick ◽  
Benjamin Biggs ◽  
Daniel Olmeda Reino ◽  
Roberto Cipolla
Keyword(s):  
Large Scale ◽  
Scene Reconstruction ◽  
Implicit Functions ◽  
The Road ◽  
On The Road

High precision and high resolution monitoring of subsurface changes with DAS and airgun

2020 ◽  
Author(s):  
Baoshan Wang ◽  
Xiangfang Zeng ◽  
Jun Yang ◽  
Yuansheng Zhang ◽  
Zhenghong Song ◽  
...  
Keyword(s):  
Large Scale ◽  
Fiber Optic ◽  
Epicentral Distance ◽  
Low Cost ◽  
Fiber Optic Cable ◽  
The Road ◽  
Air Gun ◽  
Distributed Acoustic Sensing ◽  
On The Road ◽  
Road Crossing

<p>Recently large-volume airgun arrays have been used to explore and monitor the subsurface structure. The airgun array can generate highly repeatable seismic signals, which can be traced to more than 200 km. And the airgun source can be ignited every 10 minutes. The airgun source makes it possible to precisely monitor subsurface changes at large scale. The spatial resolution of airgun monitoring is poor subjecting to the receiver distribution. The distributed acoustic sensing (DAS) technique provides a strategy for low-cost and high-density seismic observations. Two experiments combing DAS technique and airgun source were conducted at two sites with different settings. At the first site, a telecommunication fiber-optic cable in urban area was used. After moderate stacking, the airgun signal emerges on the 30-km DAS array at about 9 km epicentral distance. In the second experiment, a 5-km cable was deployed from the airgun source to about 2 km away. About 800-m cable was frozen into the ice above the air-gun, the rest cable was cemented on the road crossing through a fault. And the airgun has been fired continuously for more than 48 hours with one-hour interval. On the stacking multiple shots’ records, the wavefield in fault zone emerges too. These two experiments demonstrate the feasibility of using various fiber-optic cables as dense array to acquire air-gun signal in different environments and to monitor the subsurface changes.</p>

Sign in / Sign up

Export Citation Format

Share Document