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Home / programming language / Online Java Projects / Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering
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Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering

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SKU: PROJ7486 Categories: 2017 Projects, Final Year Projects, Mobile Computing Projects, Online Java Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering

Abstract— While clustered communication has been considered as one key technology for wireless sensor networks, existing work on cluster formation predominantly takes a pure graph-theoretic approach with the goal of optimizing the performance of individual machines. Since the radio resource available for M2M communications is typically limited yet the amount of data to transport is large, Radio Resource such “resource-agnostic” and “data-agnostic” clustering techniques could lead to sub-optimal performance. To address this problem, we propose “data-centric” clustering in a resource-constrained M2M network by prioritizing the quality of overall data over the
performance of individual machines. We first formulate an optimization problem to minimize the amount of radio resource needed for supporting two-tier clustered communications. We then partition the formulated problem into the inner power control and outercluster formation sub-problems and propose algorithms for solving the problems. < final year projects >

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