Paper Info
Title
A Decision-Making System Based on Fuzzy Logic for IoT Node Selection in Opportunistic Networks Considering Node Betweenness Centrality as a New Parameter
Abstract
Designed as a specialized ad hoc network suitable for applications such as emergency responses, Opportunistic Networks (OppNets) are considered as a sub-class of DTN where communication opportunities are intermittent and an end-to-end path between the source and destination may never exist. Existing networks have already brought connectivity to a broad range of devices, such as hand held devices, laptops, tablets, PC, etc. The Internet of Things (IoT) will extend the connectivity to devices beyond just mobile phones and laptops, but to buildings, wearable devices, cars, different things and objects. One of the issues for these networks is identifying the most important IoT nodes and then selecting them to carry out tasks in OppNets. In this work, we implement an IoT Node Selection System (IoNSS) in OppNets based on Fuzzy Logic. We use three input parameters for IoNSS: Node’s Buffer Occupancy (NBO), Node’s Residual Energy (NRE) and Node Betweenness Centrality (NBC). The output parameter is IoT Node Selection Decision (NSD). The results show that proposed system makes a proper selection decision for IoT nodes in OppNets .
Year
DOI
Venue
2020
10.1007/978-3-030-57796-4_4
INCoS
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Miralda Cuka146.27
Donald Elmazi215731.95
Makoto Ikeda31202207.10
Keita Matsuo421255.01
Leonard Barolli52178333.62
Makoto Takizawa63180440.50