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The task scheduling in the network demands as far as possible the shortest task completion time, the lowest energy consumption and the highest balanced use of energy under limited energy of nodes. Therefore, traditional multiprocessor Directed Acyclic Graph (DAG) scheduling algorithm can not be directly applied to sensor task scheduling. This paper proposes(More)
We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of weather and wildfire behavior from real-time weather data, images, and sensor streams. The system changes the forecast as new data is received. We encapsulate the model code and apply an ensemble Kalman filter in timespace with a highly(More)
In order to guarantee both the efficiency and robustness in the Peer-to-Peer (P2P) network, the paper designs a novel Super-node Overlay Based on Information Exchange called SOBIE. Differing from current structured and unstructured, or meshed and tree-like P2P overlay, the SOBIE is a whole new structure to improve the efficiency of searching in the P2P(More)
Locating content in an efficient and scalable way without centralized control is one of the challenges within P2P computing. The paper presents an unstructured P2P overlay called Maya pyramid overlay (MPO) where update and backup only take place in two neighboring levels or layers, differing from the recursive method in traditional hierarchical P2P(More)
P2P topology design is a hot topic because it is very important for solving the problems such as deficiency in scalability and effectivity of unstructured P2P overlays. A good topology can greatly improve the performance of search algorithm. The paper proposes a self-adaptive Super-node Overlay Based on Information Exchange called SOBIE. The super-node(More)
The current representatives of Grid systems are Globus and Web services, however, they have poor scalability and single point failure. It is these two factors which make the building of an improved P2P and grid hybrid framework for resource management and task schedule such a popular research topic. This paper differs from current research because it puts(More)
In this paper, we propose and analyze a new GPS positioning algorithm. Our algorithm uses the direct linearization technique to reduce the computation time overhead. We invoke the general least squares method in order to achieve optimality in the situation when the trilateration system of equations becomes over-determined. We systematically evaluate our new(More)
In this Demo, we present the design and implementation of a novel human localization and tracking system based on pyroelectric infrared(PIR) sensors. It is a new approach to setup several low-cost sensors to improve the simplicity of deployment. We first present a novel design in mechanical architecture, circuit board and sensors which enables our PIR(More)