Multi-objective clustering and dynamic multi-hop routing in an IoT network based on Pareto optimality

Informations générales

Année de publication

2025

Type

Conférence

Description

Papier conf

Résumé

Routing is essential in computer networks as it
directly impacts performance metrics such as throughput and
transmission delay. Particularly in an Internet of Things (IoT)
network where the nodes are limited in energy (battery power)
and the radio component is high energy-intensive. We are always
looking to optimise this procedure in order to increase the network
lifetime. In this work, we present a multi-objective, multihop
routing solution that extends network lifetime while balancing
multiple objectives, such as energy consumption, delay, and
reliability. Our solution was compared with other approaches,
such as Energy Optimization Routing (EOR) and Multi-Objective
Optimization Routing (MOWR) based on the Weighted Sum
technique, demonstrating significant improvements.

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