Paper Info
Title
Implementation and performance evaluation of two fuzzy-based systems for selection of IoT devices in opportunistic networks.
Abstract
The opportunistic networks are a subclass of delay-tolerant networks where communication opportunities (contacts) are intermittent and there is no need to establish an end-to-end link between the communication nodes. The internet of things (IoT) present the notion of large networks of connected devices, sharing data about their environments and creating a diverse ecosystem of sensors, actuators, and computing nodes. IoT networks are a departure from traditional enterprise networks in terms of their scale and consist of heterogeneous collections of resource constrained nodes that closely interact with their environment. There are different issues for these networks. One of them is the selection of IoT devices in order to carry out a task in opportunistic networks. In this work, we implement and compare two fuzzy-based systems (FBS1 and FBS2) for IoT device selection in opportunistic networks. For FBS1, we use three input parameters: IoT device storage (IDST), IoT device waiting time (IDWT) and IoT device remaining energy (IDRE). The output parameter is IoT device selection decision (IDSD). For FBS2, we consider four input parameters adding IoT device security (IDSC) as a new parameter. Comparing complexity of FBS1 and FBS2, the FBS2 is more complex than FBS1. But, the FBS2 is more flexible and makes a better selection of IoT devices than FBS1.
Year
DOI
Venue
2019
10.1007/s12652-017-0676-0
J. Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
IoT, OppNet, Fuzzy logic, DTN, Security
Data mining,Large networks,Computer science,Fuzzy logic,Internet of Things,Computer network
Journal
Volume
Issue
ISSN
10
2
1868-5145
Citations 
PageRank 
References 
1
0.35
16
Authors
6
Name
Order
Citations
PageRank
Miralda Cuka11812.97
Donald Elmazi215731.95
Kevin Bylykbashi31415.87
Evjola Spaho440460.43
Makoto Ikeda51202207.10
Leonard Barolli62178333.62