Title | ||
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IoT Node Elimination and Selection for Completing Tasks in Opportunistic Networks - A Fuzzy Logic Approach. |
Abstract | ||
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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 OppNets. We use three input parameters for NES: Node’s Distance to Event (NDE), Node’s Battery Level (NBL), Node’s Free Buffer Space (NFBS) and four input parameters for NSS: Node’s Number of Past Encounters (NNPE), Node’s Unique Encounters (NUE), Node Inter Contact Time (NICT), Node Contact Duration (NCD). The output parameter is IoT Node Selection Possibility (NSP). The results show that the proposed systems make a proper elimination and selection decision for IoT nodes in OppNets. |
Year | DOI | Venue |
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2020 | 10.1007/978-3-030-50399-4_2 | IMIS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Miralda Cuka | 1 | 4 | 6.27 |
Donald Elmazi | 2 | 157 | 31.95 |
Keita Matsuo | 3 | 212 | 55.01 |
Makoto Ikeda | 4 | 1202 | 207.10 |
Leonard Barolli | 5 | 2178 | 333.62 |
Makoto Takizawa | 6 | 3180 | 440.50 |