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2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom)
Material distribution in discrete manufacturing workshop suffers from a bottleneck of capturing and collecting real-time field information. Without up-to-date information, the staff will be difficult to make accurate decisions. It seems that Real-time locating system (RTLS) is a good solution in the modern manufacturing. Based on the RTLS platform, this paper raises the concept CGV (Coordinate Guided...
Currently, traffic signals in most countries have preset time periods for the red/yellow/green signals. Different roads in a city are configured with different time periods based on type and location of roads and the peak or off-peak hours. Such preset timings are inadequate in coping with unexpected situations such as a traffic accident or other natural disasters or specific unplanned events. Because...
Researches show that most of deadly crashes involve one or more unsafe driving behaviors typically associated with careless driving. Many researchers try to develop intelligent transportation system (ITS) or machine learning model to detect these potential risks, to make alert, and to prevent driver from traffic accident. For example, intentionally or carelessly inappropriate stopping or not stopping...
Internet of Things (IoT) is a major paradigm shift from traditional Internet applications that connects things / objects to the Internet for automatic sensing, information processing, understanding, reasoning, decision and response to virtual and physical world. Due to its highly distributed and heterogeneous characteristics, it requires more semantic interactions between different scenarios. Therefore,...
Considering the diverse application scenarios involving wireless sensor networks (WSNs), accurate continuous monitoring requires a solution to the essential task of estimating unmeasured locations in the monitored space. In this paper, we utilize Epsilon-Smooth Support Vector Regression (Epsilon-SSVR) to report monitoring information of environment, furthermore we combine spatial and temporal correlation...
Taxis are an important part of public transportation in nowadays. Taking a vacant taxi has become a difficult problem due to the imbalance between demand and supply of taxi service. People want to know where is better to wait for a vacant taxi in order to save their time in the fast-paced city life. Helpful information could be provided to the passengers by mining the historical GPS traces generated...
The global trend of population aging and the continuing maturity of the Internet of Things (IoT) technology drives the rapid development of health care. In the comprehensive applications of IoT technology, developing and constructing a prediction model for chronic diseases is a great improvement to healthcare technology as well as an exploration of IoT technology on the data-analysis and decision-making...
This paper presents a new smart energy (SE) system with distributed access control. Many other SE systems to date support remote control and automation but not access control, making them applicable to homes but not offices or other public settings. Even if they implement access control, virtually all existing SE systems suffer from central point of failure. To address these problems, we propose a...
Internet of Things (IoT) envisions connecting and managing billions of devices and endpoints. This paper describes a smart M2M gateway based architecture to manage the huge volume of M2M devices and endpoints. The architecture is compliant with both ETSI and one M2M standards recommendations. The resources and the attributes of the M2M devices and endpoints are described using CoRE Link Format. The...
Many machine-to-machine (M2M) applications are characterized by the requirement to support a large number of machines for reporting data back to the aggregator for further data processing. While related work has investigated various access barring and de-prioritization approaches for machine-type communications, they fail to work for delay-sensitive M2M applications, where the random access delay...
In wireless sensor networks, an important challenge often faced in geographic greedy forwarding is the local minimum phenomenon which is caused by holes. For solving this problem, most hole-avoiding protocols route packets along the perimeter of holes or forbidden regions. Thus, sensor nodes on the perimeter of holes and forbidden regions exhaust their energy faster than others, which enlarge the...
Video multicast exploits the wireless broadcast nature to transmit a video stream to multiple clients with a minimum bandwidth requirement. Assigning suitable transmission bit-rate to video stream is however a challenging problem because clients in a wireless network have heterogeneous channel quality and experience different packet loss probability. Existing video multicast researches have proposed...
In 6LoWPAN, all the nodes access the Internet through the gateways, which are on the border to legacy IP networks and handle ingress and egress data traffic. A gateway as the traffic center may easily become the congestion-concentrated point so that causes reliability problems and performance degradation. Gateway bottleneck is the dominant reason for network capacity and throughput constriction, since...
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