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A Pragmatic Review of QoS Optimisations in IoT Driven Networks

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Abstract

With advent of Internet of Things (IoT) an exponential growth has been observed in recent times towards the use of fifth generation (5G) network to share data among anything and even everything around connected in billions. The exchange of large amount of data by these devices or objects accumulates network overhead in the IoT infrastructure in terms of energy, routing, battery charge, data rate, packet delivery/loss rate, availability, interoperability, congestion, scalability, cost and security. Hence it is highly essential to project optimal solutions to uphold thereby the quality of service (QoS) in available network. This study provides a thorough literature survey of diverse optimization techniques in IoT aided wireless networks like Mobile Ad-hoc NETwork (MANET) driven Internet of Mobile Things (IoMobT), Vehicular Ad-hoc NETwork (VANET) driven Internet of Vehicles (IoV), Flying Ad-hoc NETwork (FANET) driven Internet of Flying Things (IoF), Robot Ad-hoc NETwork (RANET) enabled Internet of Robots (IoR), Ship Ad-hoc NETwork (SANET) driven Internet of Ships (IoS) and Underwater or Underground Ad-hoc NETwork (UANET) in Internet of Underwater or Underground Things (IoU). It categorizes papers based on the issues resolved by the examined works and optimization strategies employed and then it contrasts and condenses the salient characteristics of each kind of publication. It also even sketches a preview of IoT along with its evolving trends and cutting-edge-solutions for improving QoS. Our survey attempts to give readers a better grasp of the principles behind various computing models and to examine QoS network optimization strategies across a range of IoT models.

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Data availability

Our manuscript has no data associated.

Abbreviations

3G/4G:

3Rd Generation/4th Generation

6LoWPAN:

IPv6 Low power Personal Area Networks

AAO:

Artificial Algae Optimization

ABC:

Artificial Bee Colony

ACO:

Ant Colony Optimization

ACS:

Ant Colony System

AEDE:

Adaptive EDE

AFSO:

Artificial Fish Swarm Optimization

AFSA:

Artificial Fish Schooling Algorithm

AGTO:

Artificial Gorilla Troops Optimizer

AGV:

Automated Guided Vehicles

AHP:

Analytic Hierarchy Process

AHO:

Artificial Hummingbird Optimization

ALO:

Ant Lion Optimizer

ANN:

Artificial Neural Network

AO:

Aquila Optimizer

AODV:

Ad hoc On-Demand Distance Vector

ARES:

Ant based energy Efficient routing algorithm for Sensor network

ASIoT:

Application Specicific IoT

AUV:

Autonomous Underwater Vehicles

AVO:

African Vultures Optimization

AWOA:

Aquila optimizer–Whale Optimization Algorithm

BFA:

Bacterial Foraging Algorithm

BFO:

Bacterial Foraging Optimization

BLE:

Bluetooth Low Energy

BOA:

Butterfly Optimisation Algorithm

BS:

Base Station

BSO:

Bat Swarm Optimisation

CAS:

Chaotic Ant Swarm

CatSO:

Cat Swarm Optimisation

CAVDO:

Clustering Algorithm for IoV based on Dragonfly Optimizer

CBCC-RDG3:

Contribution-Based Co-operative Co-evolution Recursive Differential Grou**

CH:

Cluster Head

ChSO:

Chicken Swarm Optimization

CI:

Computational Intelligence

CL:

Cloud Logistics

CLPSO:

Comprehensive Learning Particle Swarm Optimization

CoAP:

Constrained Application Protocol

CoRE:

Constrained RESTful Environments

CP:

Charged Particle

CS-HC:

Cuckoo Search with Hill Climbing

CSO:

Cuckoo Search Optimization

CSS:

Charged System Search

DE:

Differential Evolution

DECADE:

Distributed Emergent Cooperation through ADaptive Evolution

DEEM:

Differential Evolution Encoding Mechanism

DEM:

Differential Evolution Method

DEVIPS:

Differential Evolution algorithm with Variable Population Size based on a mutation strategy pool

DEVIPSK:

Differential Evolution algorithm with Varying Population Size created on a mutation tactic Pool initialized by K-Means

DGSC-DECC:

Differential Grou** with Spectral Clustering-Differential Evolution Co-operative Co-evolution

DIAMoND:

Distributed Intrusion/Anomaly Monitoring for Nonparametric Detection

DOA:

Dragonfly Optimization Algorithm

DPRA:

Delayed Power Ram** Algorithm

E. Coli:

Escherichia Coli

EA:

Evolutionary Algorithm

EADE:

Enhanced Adaptive Differential Evolution

EDE:

Enhanced Differential Evolution

EMA:

Exchange Market Algorithm

ENN:

Evolutionary Neural Network

EQSA:

Energy-centered and QoS-aware Services selection Algorithm

ESO:

Elephant Search/herd Optimization

ESS:

Efficient Scheduling Scheme

FANET:

Flying Ad-hoc NETwork

FCFS:

First-Come First-Served

fGA:

Flexible Genetic Algorithm

FH-ACO:

Fuzzy Heuristic Ant Colony Optimization

FIS:

Fuzzy Inference System

FL:

Fuzzy Logic

FO:

Firefly Optimization

FRA:

Firefly Routing Algorithm

GA:

Genetic Algorithm

GASS:

Genetic algorithm and simulated Annealing algorithm for edge Server Selection

GBCO:

Genetic Bee Colony Optimization (GA + ABC)

GOA:

Grasshoppers’ Optimization Algorithm

GP:

Genetic Programming

GROBO:

Grasshopper Optimization-based Bi-target Optimization

GSA:

Greedy and Simulated-annealing Algorithms

GSM:

Global System for Mobile Communication

GWOA:

Gray Wolf Optimization Algorithm

GwSO:

Glow-worm Swarm Optimisation

HBO:

Honey Bee Optimisation

HFLPSO:

Hybrid Fuzzy Levy flight Particle Swarm Optimization

HOLA:

Heuristic and Opportunistic Link Selection Algorithm

HONIED:

Hive Oversight for Network Intrusion Early Warning using DIAMoND

HS:

Harmony Search

iASEF:

Integrated Atom Swarm and Electromagnetic Force

IBFO:

Improved Bacterial Foraging Optimization

IETF:

Internet Engineering Task Force

IGAROT:

Improved Genetic Algorithm-based Route Optimization Technique

IIoT:

Internet of Industrial Things

iMOPSE:

Intelligent Multi Objective Project Scheduling Environment

IoAT:

Internet of Animal Things

IoAuT:

Internet of Autonomous-Things

IoB:

Internet of Bins

IoBeauT:

Internet of Beautiful Things

IoBioT:

Internet of Biometric Things

IoBLT:

Internet of Battery-less Things

IoBT:

Internet of Battle (field) Things

IoET:

Internet of Every Thing

IoFT:

Internet of Flying Things

IoMiT:

Internet of Military Things

IoMobT:

Internet of Mobile Things

IoMT:

Internet of Medical Things

IoNT:

Internet of Nano Things

IoR:

Internet of Robots

IoRT:

Internet of Robotic Things

IoS:

Internet of Ships

IoT:

Internet of Things

IoTFS:

IoT-Fog System

IoUGT:

Internet of Underground Things

IoUWT:

Internet of Underwater Things

IoV:

Internet of Vehicles

IoWT:

Internet of Waste Things

IPSO:

Improved Particle Swam Optimization

IPv6:

Internet Protocol version 6

ISATOPSIS:

Improved Simulated Annealing Technique for Order Preference by Similarity to the Ideal Solution

ITS:

Intelligent Transport System

IWD:

Intelligent Water Drop

IWDRA:

Intelligent Water Drop Routing Algorithm

JADE:

J Adaptive Differential Evolution

JGGA:

Jum** Genes Genetic Algorithm

JSO:

Jellyfish Search Optimisation

KNN:

K Nearest Neighbors

LF-DCSO:

Lévy Flight-based Discrete Cuckoo Search Optimization

LGSO:

Large Scale Global Optimization

LISP:

List Processing

LOAD:

6LoWPAN Ad-hoc on-demand Distance vector

LS:

Local Search

LSA:

Lightning Search Algorithm

LTE:

Long Term Evolution

M2M:

Machine-to-Machine

MA:

Memetic Algorithms

MANET:

Mobile Ad-hoc NETwork

MDML-RP:

Metaheuristic Driven Machine Learning Routing Protocol

MEC:

Mobile Edge Computing

MFOA:

Moth Flame Optimization Algorithm

NFV:

Network Function Virtualization

MILP:

Mixed Integer Linear Programming

mIoT:

Massive IoT

MLOAD:

Multi-Path LOAD

MLSHADE-SPA:

Memetic Linear population Size reduction and Semi-Parameter Adaptation

moFIS-BFO:

Multiobjective Fuzzy Inference System Bacterial Foraging Optimization

MOCAS:

Multi-Objective Chaotic Ant Swarm

MOCAS:

Multi-Objective Chaotic Ant Swarm

MOCSA:

Multi-Objective Cuckoo Search Algorithm

MOGWO:

Multi-Objective Grey Wolf Optimizer

MOPSO:

Multi-Objective Particle Swarm Optimization

MOR4WSN:

Multi-Objective Routing for WSN

MS-RCPSP:

Multi Skill Resource-Constrained Project Scheduling Problem

MTS:

Modified Tabu Search

NJNP:

Nearest-Job-Next-with-Preemption

NSGA-II:

Non-dominated Sorting Genetic Algorithm II

NTS:

Novel Tabu Search

oppIoT:

Opportunistic IoT

OSEAP:

Optimal Secured Energy Aware Protocol

PenguinSO:

Penguin Search Optimisation

PID:

Proportional-Integrator-Differentiator / proportional-plus-integral-plus-derivative

PIO:

Pigeon Inspired Optimisation

PSO:

Particle Swarm Optimization

PSO-LSA:

Particle Swarm Optimization with Lightning Search Algorithm

PUF:

Physical Unclonable Function

QoS:

Quality of Service

QPSO:

Quantum Particle Swarm Optimization

QPSO:

Quantum stirred PSO

RA:

Resource Allocation

RACH:

Random Access Channel

RACH:

Random-Access Channel

RANET:

Robot Ad-hoc NETwork

RF:

Radio Frequency

RFID:

Radio Frequency Identification

RPL:

Routing Protocol for Low-Power and Lossy Networks

RREQ:

Route REQuest

RSPT:

Robust Shortest Path Tree

RW-DCSO:

Random Walk-based Discrete Cuckoo Search Optimization

SA:

Simulated Annealing

SA-LSA:

Simulated Annealing with Lightning Search Algorithm

SANET:

Ship Ad-hoc NETwork

SATOPSIS:

Simulated Annealing Technique for Order Preference by Similarity to the Ideal Solution

SAWS:

Simulated Annealing Weighted Sum

SBA:

Scenario-Based heuristic Algorithm

SDN:

Software Defined Networking

SEAP:

Secure Energy Aware-routing Protocol

SGN:

Stochastic Game Net

SSO:

Salp Swarm Optimisation

TLBO:

Teacher Learning Based Optimisation

TS:

Tabu Search

TSFIS-GWO:

Takagi–Sugeno Fuzzy Inference System Grey Wolf Optimizer

TSFM:

Three-Stage Fuzzy Metaheuristic

UANET:

Underwater Ad-hoc NETwork

UAV:

Unmanned/Uncrewed Aerial Vehicles

UgANET:

Underground Ad-hoc NETwork

UwANET:

Underwater Ad-hoc NETwork

V2I:

Vehicle to Infrastructure

V2V:

Vehicle to Vehicle

VANET:

Vehicular Ad-hoc NETwork

VCCA:

Variable Categorized Clustering Algorithm

VLGA:

Variable-Length Genetic Algorithm

VNF:

Virtual Network Function

WBAN:

Wearable Body area network

Wi-Fi:

Wireless Fidelity

WLAN:

Wireless Local Area Network

WMN:

Wireless Mesh Networks

WOA:

Whale Optimization Algorithm

WRSN:

Wireless Rechargeable Sensor Network

WSN:

Wireless Sensor Network

WSN-RFID:

Wireless Sensor Network Radio Frequency Identification

WUSN:

Wireless Underwater/Underground Sensor Network (WUwSN/WUgSN)

ZigBee:

Zonal Intercommunication Global-standard

ZRP:

Zone Routing Protocol

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    Satyabrat Sahoo, Satya Prakash Sahoo & Manas Ranjan Kabat

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Sahoo, S., Sahoo, S.P. & Kabat, M.R. A Pragmatic Review of QoS Optimisations in IoT Driven Networks. Wireless Pers Commun (2024). https://doi.org/10.1007/s11277-024-11412-9

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