دانلود مقاله From Rateless to Distanceless: Enabling Sparse Sensor Network Deployment in Large Areas

اختصاصی از فی گوو دانلود مقاله From Rateless to Distanceless: Enabling Sparse Sensor Network Deployment in Large Areas دانلود با لینک مستقیم و پر سرعت .

Wan Du, Zhenjiang Li, Jansen Christian Liando, Mo Li

Abstract
This paper presents a distanceless networking approach
for wireless sensor networks sparsely deployed in large areas.
By leveraging rateless codes, we provide distanceless
transmission to expand the communication range of sensor
motes and fully exploit network diversity. We address
a variety of practical challenges to accommodate rateless
coding on resource-constrained sensor motes and devise a
communication protocol to efficiently coordinate the distanceless
link transmissions. We propose a new metric
(expected distanceless transmission time) for routing selection
and further adapt the distanceless transmissions to low
duty-cycled sensor networks. We implement the proposed
scheme in TinyOS on the TinyNode platform and deploy
the sensor network in a real-world project, in which 12
wind measurement sensors are installed around a large urban
reservoir of 2:5km3:0km to monitor the field wind distribution.
Extensive experiments show that our proposed scheme
significantly outperforms the state-of-the-art approaches for
data collection in sparse sensor networks.
Categories and Subject Descriptors
C.2.1 [Network Architecture and Design]: Wireless
communication; D.2.2 [Network Protocols]: Protocol architecture
General Terms
Design, Experimentation, Performance
Keywords
Wireless sensor network, Spars

مقاله لاتین Quality Function Deployment

اختصاصی از فی گوو مقاله لاتین Quality Function Deployment دانلود با لینک مستقیم و پر سرعت .

Quality Function Deployment, Value Engineering and Target Costing, an Integrated Framework in Design Cost Management: A Mathematical Programming Approach

In this paper, the need to incorporate three famous design cost management methods, called: Quality Function Deployment (QFD), Value Engineering (VE) and Target Costing (TC) into a single model has been addressed. Each method performs very well in cost management procedures as design activities. These methods have been incorporated into a mathematical programming model, in order to achieve the maximum benet of each method. The model, essentially, optimizes customer satisfaction subject to target cost. The tool is a mixed integer zero-one nonlinear programming. The unied model has been proposed to prevent a non-optimal solution when methods interact with each other. The practitioner should be condent that the quality solution would be achieved in contrast to when the methods are applied sequentially. A simple automobile design example was formulated and solved to show the performance of the model

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