A Fuzzy Based Simulation System for IoT Node Selection ... - SpringerLink
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Mar 28, 2020 · In this paper, we propose and implement a Fuzy-based system for selection of IoT nodes in OppNet considering four parameters.
In this work, we implement a Fuzzy-Based System for IoT node selection in opportunistic networks. For our proposed system, we use four input parameters: IoT ...
In this work, we implement a Fuzzy-Based System for IoT node selection in opportunistic networks. For our proposed system, we use four input parameters: IoT ...
In this paper, we proposed two fuzzy-based IoT node selection systems for OppNets considering four parameters: NDT, NRE, NBO, NICT.
In [25, 26] , the authors implemented a fuzzy-based system for IoT device selection in opportunistic IoT networks. This algorithm uses different parameters, ...
In this work, we implement two Fuzzy-Based Systems: Node Elimination System (NES) and Node Selection System (NSS) for IoT node elimination and selection in ...
Fuzzy-based Simulation System for IoT Node Selection in Opportunistic Networks and Testbed Implementation", Proc. of. BWCCA-2019, Antwerp, Belgium, pp. 32 ...
In this work, we implement a Fuzzy-Based System for IoT device selection in opportunistic networks. For our system, we use four input parameters: IoT Device's ...
o A Fuzzy Based Simulation System for IoT Node Selection in an Opportunistic Network. Considering IoT Node's Unique Encounters as a New ParameterAdvanced ...
A Fuzzy-Based System for IoT device selection in opportunistic networks is implemented and results show that IoT devices selection is increased up to 33% ...
Missing: Encounters | Show results with:Encounters