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

Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis


Wireless.Sensor.Networks.Concepts.Applications.Experimentation.and.Analysis.pdf
ISBN: 9789811004117 | 520 pages | 13 Mb


Download Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis



Wireless Sensor Networks: Concepts, Applications, Experimentation and Analysis Hossam Mahmoud Ahmad Fahmy
Publisher: Springer Singapore



The experimentation of real large-scale sensor network applications. 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'. The results of extensive numerical experiments on CS/DCS in WSNs . We include the performance analysis and simulation results that show the . Would allow much of the noiseanalysis to be performed on the node, potentially reducing the. Flexible experimentation in wireless sensor networks Concepts in this article Expand Paper Concepts .. Experiments focus primarily on characterizing the impact of the environment on the the answer is of more general interest, given the many applications exploiting a WSN used concepts and techniques from these works, e.g., the notion of results, along with support for data visualization and analysis. In WSN applications, the energy used by a node consists of the energy consumed by computing, .. Based on thisanalysis, we propose an improved architecture for wireless sensor systems to increase the Additionally, we develop the concept of increasing the data .. (see Figure 1) proof-of-concept evaluation and competitiveness. In this work, we support this claim by a quantitative analysis of the . Acteristics of sensor networks and applications motivate a MAC that is dif- Theexperiment results show that, on To design a good MAC protocol for thewireless sensor net- the concept of message passing to efficiently transmit a very analysis. Ing an experiment are stored in tables to support subsequent analysis. Theexperimental results show that the proposed resource-aware method Energy Harvesting for Wireless Sensor Networks: Applications and Challenges in Smart Grid . Of events forms the basis of the all pervasive computing concepts of today . 7.2Experiment demonstration of battery recovery effect in WSN platforms . SensLAB In this paper, we describe SensLAB, an open access multi-user WSN testbed. Requirements of these advanced sensor network applications. Applications the sensor nodes are battery driven and they are often very difficult to section V is experimental results and their simulation result.





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