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 .