An Efficient Resource Allocation Scheme with Optimal Node Placement in IoT-Fog-Cloud Architecture

Gunasekaran Manogaran, Bharat S. Rawal

Research output: Contribution to journalArticlepeer-review

Abstract

Internet of Everything (IoE) encompasses smart devices, users, applications, and services through the internet with digital features. Fog Computing is a recent emergent that bridges the gap between cloud and Internet of Things (IoT) devices to provide services at the network edge. Communication and deployment of fog nodes in a network rely on the type of application and service request. With the prominent features exhibited by the fog nodes, this manuscript proposes an Efficient Resource Allocation (RA) with Optimal Node Placement (ONP) for delay-controlled communications in the IoE environment. Resource allocation is facilitated by defining a profit function that must be achieved for controlling resource exploitation. The deployment of less density fog nodes will adhere to the available resources and aids service reliability by increasing seamlessness in communication. The nodes’ dual-feature is utilized at resource allocation, such that communication delays and cost less. IoE terminals and fog nodes’ advantages are assimilated to ensure appropriate non-delay tolerant seamless service provided to the encompassed user from the desired platform or infrastructure. The idea of administering fog nodes based on their behavior ensures less complex service provisioning and ease of access.

Original languageEnglish (US)
JournalIEEE Sensors Journal
DOIs
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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