Effect of node centrality for IoT device selection in opportunistic networks: A comparison study

摘要

Opportunistic networks (Oppnets) are a subclass of delay-tolerant networks where communicationopportunities (contacts) are intermittent and there is no need to establish an end-to-end linkbetweencommunication nodes.TheInternetofThings (IoT)presents the notionof large networksof connected devices, sharing data about their environments and creating a diverse ecosystemof sensors, actuators, and computing nodes. IoT networks consist of heterogeneous collectionsof resource constrained nodes that closely interact with their environment. There are differentissues for these networks. One of them is the selection of IoT devices to carry out a task in Oppnets.In this work, we implement and compare two fuzzy-based systems (FBSs) for selecting theIoT device that completes the task inOppnets.We call these systems FBSIDS1 and FBSIDS2. ForFBSIDS1, we use three input parameters: IoT device storage, IoT device waiting time (IDWT), andIoT device remaining energy. The output parameter is IoT device selection decision. For FBSIDS2,we consider four input parameters by adding IoT device node centrality (IDNC) as a new parameter.Comparing the complexity of FBSIDS1 and FBSIDS2, FBSIDS2 ismore complex than FBSIDS1.However, FBSIDS2 ismore flexible and makes a better selection of IoT devices than FBSIDS1. Thesimulation results show that IoT device selection is increased up to 33% and 71% by increasingIDNCand IDWT, respectively, for FBSIDS2, and up to46%and61%by increasingIDWTand IDNC,respectively, for FBSIDS1.