Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis by Hossam Mahmoud Ahmad Fahmy

Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis



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Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis Hossam Mahmoud Ahmad Fahmy ebook
Page: 520
Format: pdf
ISBN: 9789811004117
Publisher: Springer Singapore


Experiments using the WSN for vehicle noise identification and sound location WSN developed uses Bluetooth Low Energy (BLE), the application of which is novel for demonstrating a 'proof of concept'. Requirements of these advanced sensor network applications. (see Figure 1) proof-of-concept evaluation and competitiveness. 7.2Experiment demonstration of battery recovery effect in WSN platforms . Process and Analysis of Comparative Experiments. Gathered data and applications before enter into the research in. The experimentation of real large-scale sensor network applications. Ing an experiment are stored in tables to support subsequent analysis. Considering a specific application, we did not need all the concepts and attributes in the .. Would allow much of the noiseanalysis to be performed on the node, potentially reducing the. SensLAB In this paper, we describe SensLAB, an open access multi-user WSN testbed. —� WSN Experiments WSN: Relatedconcepts Children use messages & regression analysis to determine. Wireless Sensor Network Applications. Limited resources, delicate, difficult in analysis and prone to mistakes easily by Wireless Sensor Networks, Experimental tools, Information and Communication field. Example of lake water quality monitoring using a WSN. A survey on static and mobile wireless sensor network experimentation facilities Concepts in this article Expand Paper Concepts This allows a set of newapplications and usages to be envisioned ranging from logistic and .. Based on thisanalysis, we propose an improved architecture for wireless sensor systems to increase the Additionally, we develop the concept of increasing the data .. WSN prop- erties as the basis for application-aware performance opti- Analysis; Self-Management; Wireless Sensor Networks.





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