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Applications of wireless sensor networks (WSNs) in pipeline monitoring are rapidly developed. The coverage problem is a fundamental problem of WSN. However, most current sensor network research assumes that sensor nodes are deployed on a two-dimensional plane. But in reality, sensor nodes deployed on the surface of pipeline will be three-dimensional. This paper studies the problem of sensor nodes...
Wireless sensor networks (WSN) is considered an effective technique to collect oil and gas transmission pipeline information. The studies that use conventional technologies (such as GPRS, microwave, radio modem and cables etc.) to collect these pipelines state information have the disadvantages of high cost of system maintenance and long data packet delay. The usage of WSN in oil and gas pipeline...
Twenty-two potential miRNAs from seven miRNA families were first predicted from more than 80,857 EST sequences of peach (Prunus persica). Using two specific 5′ and 3′ miRNA RACE (miR-RACE) PCR reactions and sequence-directed cloning, we accurately determined the precise sequences, especially both ends, of eight candidate miRNAs. The sequencing results demonstrated that the ppe-miRNAs were conserved...
Thirty‐one potential miRNAs that belong to 16 miRNA families were discovered from more than 324 000 EST sequences of apple (Malus domestica). In addition, precise sequences, especially terminal nucleotides of the 16 apple miRNAs (mdo‐miRNAs) in 16 families were validated by miR‐RACE, a newly developed method for the determination of the potential miRNAs predicted computationally. The expression of...
Data fusion is considered an effective technique to eliminate redundant information to save energy and other resources in wireless sensor networks (WSNs). This paper focuses on data fusion technique based on three-tiers WSNs for the urban real time traffic information monitoring. Firstly, we describe the system architecture, analyze urban real time traffic information and the data delivery flow. Subsequently,...
This paper presents an urban traffic information collection algorithm implemented through Wireless Sensor Networks (WSNs) with floating vehicles technology, which can provide a flexible, energy efficient, low-delay and low-cost wireless solution for obtaining all-weather real time traffic information that can be used for generating safety warnings to drivers, passengers and managers. The system consists...
In Wireless Sensor Networks, recent studies reveal using mobile sink as a solution for collecting the data has been shown to be an effective way of improving sensor network performances. In this paper, Firstly, we analyze the data collection algorithms based on hierarchical or cluster and the Mobile Element Scheduling(MES) algorithms. Subsequently, a new energy and delay aware hybrid data collection...
Wireless sensor networks (WSN) offer the potential to significantly improve the efficiency of existing intelligent transportation systems(ITS). Currently, collecting urban traffic information for traffic planning and management based on single floating vehicle technology has the disadvantages of long data packet delivery delay and big delay dithering. The usage of WSN in ITS is expected to be able...
Applications of wireless sensor networks (WSN) in road traffic information collecting are rapidly expanded. Recent studies reveal only using floating vehicle technology as a solution to collect freeway traffic information has the disadvantages of long data packet delivery delay and big delay dithering. The usage of WSN in ITS is expected to be able to overcome the above difficulties. This paper proposes...
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