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"Traffic Management Algorithms In Wireless Sensor Networks" and the language of the book is English.


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  • Title: ➤  Traffic Management Algorithms In Wireless Sensor Networks
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  • Language: English

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  • Internet Archive ID: trafficmanagemen109452686

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Data fusion in wireless sensor networks can improve the performance of a network by eliminating redundancy and power consumption, ensuring fault-tolerance between sensors, and managing e®ectively the available com- munication bandwidth between network components. This thesis considers a data fusion approach applied to wireless sensor networks based on fuzzy logic theory. In particular, a cluster-based hierarchical design in wire- less sensor networks is explored combined with two data fusion methods based on fuzzy logic theory. A data fusion algorithm is presented and tested using Mamdani and Tsukamoto fuzzy inference methods. In addition, a concept related to the appropriate queuing models is presented based on classical queuing theory. Results show that the Mamdani method gives better results than the Tsukamoto approach for the two implementations considered. We noted that the proposed algorithm requires low processing and computational power. As a result, it can be applied to WSNs to provide optimal data fusion and ensures maximum sensor lifetime and minimum time delay.

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"Traffic Management Algorithms In Wireless Sensor Networks" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 34.76 Mbs, and the file-s went public at Sun May 05 2019.

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