Tire Pressure Monitoring System (TPMS) is used to detect when one or more of the vehicle39;s tires is 25 percent or more below the manufacturer39;s recommended inflation pressure. A TPMS system consists of four wi...
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ISBN:
(纸本)9781424413119
Tire Pressure Monitoring System (TPMS) is used to detect when one or more of the vehicle's tires is 25 percent or more below the manufacturer's recommended inflation pressure. A TPMS system consists of four wireless sensors, a high frequency (HF) antenna and a central receiver. In this paper, a high accuracy sensor incorporated with a sensor signal conditioning chip is presented. A new TPMS wireless signal conditioning method for automotive applications is developed. The signal conditioning method consists of a signal conditioning chip and a calibration algorithm. The calibration algorithm has been established by relating to measured voltage, temperature and pressure ADC reading at three different temperature ranges. Twenty-five relating coefficients are obtained from characterization test before sensor signal conditioning is applied to TPMS wireless sensor calibration. The test results show that the signal conditioning method provides higher accuracy performance for wireless sensor within a battery supply voltage range from 2.1V to 3.6 V and a temperature range from -40 degrees C to 125 degrees C. The signal conditioning method also reduces the cost of wireless sensor. Moreover, a presented sensor calibration system helps to improve production efficiency and lower production costs.
Remote process control and supervision applications developed over the Internet require special communication models and techniques, which can guarantee the real-time and safety restrictions inherent to automation sys...
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Energy efficiency is a primary problem in wireless sensor networks which employ a large number of intelligent sensor nodes to accomplish complicated tasks. Focused on the energy consumption problem in target tracking ...
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ISBN:
(数字)9783540741718
ISBN:
(纸本)9783540741701
Energy efficiency is a primary problem in wireless sensor networks which employ a large number of intelligent sensor nodes to accomplish complicated tasks. Focused on the energy consumption problem in target tracking applications, this paper proposes a dynamic energy management mechanism with an improved particle filter prediction in wireless sensor networks. The standard particle filter is improved by combining the radial-basis function network to construct the process model and the novel algorithm is adopted to predict the prior position of target. For dynamic awakening, the idle interval of each sensor node is estimated according to its sensing tasks. A cluster head rotating approach is introduced from low-energy adaptive clustering hierarchy for collecting data through the large sensing field. A group of sensor nodes which are located in the vicinity of target will wake up and have the opportunity to report their data. distributed genetic algorithm is performed on cluster heads to optimize the sensor node selection. In target tracking simulations, we verify that the improved particle filter has more robustness than standard particle filter against the sensing error and dynamic energy management enhances energy efficiency of wireless sensor networks.
Wireless sensor network presents a self-organizing, wireless, ad hoe communication network that trades lower data throughput and higher message latency for lower cost and lower power drain. Conventional wireless routi...
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ISBN:
(纸本)9781424413119
Wireless sensor network presents a self-organizing, wireless, ad hoe communication network that trades lower data throughput and higher message latency for lower cost and lower power drain. Conventional wireless routing protocols generally cannot satisfy the particular requirements of WSN applications to build reliable and efficient communication links. CIVIC is a location-based hybrid routing protocol (proactive and reactive). This protocol is basing upon two mechanisms: FFCCC and DANKAB. The former provides a power-aware minimal distance competitive mechanism to select a best effective node for data forwarding. The latter adopts a directional area neighbor knowledge adaptive broadcast policy to constrain the number of transferring nodes. CIVIC is also a context-aware and security consideration protocol. Messages are classified into different security and priority levels according to data context. Furthermore, meta codebook technique is adopted to decrease network traffic and improve system security. In present, CIVIC has been simulated on NS2, evaluated on hardware platforms.
To enable new context-aware applications and services in future communication systems, wireless sensor networks (WSNs) are required to capture the context surrounding the service user and service related objects. This...
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ISBN:
(纸本)9781424415014
To enable new context-aware applications and services in future communication systems, wireless sensor networks (WSNs) are required to capture the context surrounding the service user and service related objects. This paper introduces a novel configurable architecture for a WSN system that is able to deliver context information from the sensors to the user in different application environments, and allows its efficient integration into third generation (3G) mobile communication systems in particular into the IP multimedia subsystem (IMS). The proposed architecture offers significant advantages compared to the ZigBee architecture.
The Semantic Grid is a recent initiative to expose semantically rich information associated with Grid resources to build more intelligent Grid services. Recently, several projects have embraced this vision and there a...
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We address the problem of gathering information in sensor webs consisting of sensors nodes, where in a round of communication sensor nodes have messages to be sent to a distant central node (called the base station) o...
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Network-based learning or e-Learning has been taking an important role in education as helpful education tools. However, it is difficult for teachers to retrieve education data from students or to obtain data from the...
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ISBN:
(纸本)9780769530642
Network-based learning or e-Learning has been taking an important role in education as helpful education tools. However, it is difficult for teachers to retrieve education data from students or to obtain data from the student activities. Therefore, we have developed a problem solving environment (PSE) for the education and learning support: TSUNA-TASTE.[1] The TSUNA-TASTE system collects the system-usage situation, the information for the windows used and the operation situation of the mouse and key board of all students. The data, which the system TSUNA-TASTE collects, are stored in a database on the TSUNA-TASTE system server. In this paper we present the structure of the TSUNA-TASTE system and detail structure of the network in the TSUNA-TASTE. The TSUNA-TASTE supports teachers and students in computer-based education. The TSUNA-TASTE may open a new helpful e-Learning world.
作者:
Li, HuiBuyya, RajkumarLeiden Univ
Leiden Inst Adv Comp Sci POB 9512 NL-2333 CA Leiden Netherlands Univ Melbourne
Dept CSSE Grid Comp & Distributed Syst Lab Melbourne Vic 3010 Australia
Simulation studies of Grid scheduling strategies require representative workloads to produce dependable results. Real production Grid workloads have shown diverse correlation structures and scaling behavior, which are...
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ISBN:
(纸本)9780769530642
Simulation studies of Grid scheduling strategies require representative workloads to produce dependable results. Real production Grid workloads have shown diverse correlation structures and scaling behavior, which are different than the characteristics of the available supercomputer workloads and cannot be captured by Poisson or simple distribution-based models. We present models that are able to reproduce various correlation structures, including pseudo-periodicity and long range dependence. By conducting model-driven simulation, we quantitatively evaluate the performance impacts of workload correlations in Grid scheduling. The results indicate that autocorrelations in workloads result in worse system performance, both at the local and the Grid level. It is shown that realistic workload modeling is not only possible, but also necessary to enable dependable Grid scheduling studies.
Event detection and monitoring is an important application class for wireless sensor networks. Traditionally, sensory data are collected and processed at the base-station. Conveying large amounts of multidimensional s...
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ISBN:
(纸本)9781424415014
Event detection and monitoring is an important application class for wireless sensor networks. Traditionally, sensory data are collected and processed at the base-station. Conveying large amounts of multidimensional sensory data is however impractical in resource-constrained sensor networks. In this paper we propose to convert event detection into pattern recognition that is particularly suited for sensor networks. Individual sensory measurements of sensor nodes are integrated into high-level event pattern, and used for recovering the state of the monitored environment. The pattern storage and pattern recognition operations are performed in a distributed manner within the network. Furthermore, a sleep mode strategy is incorporated for improving performance and prolonging the lifetime of the sensor network.
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