CHEABC-QCRP: A novel QoS-aware cluster routing protocol for industrial IoT

IF 3.5 2区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation Modelling Practice and Theory Pub Date : 2024-04-30 DOI:10.1016/j.simpat.2024.102951
Fengjiang Wang , Chuchu Rao , Xiaosheng Fang , Yeshen Lan
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引用次数: 0

Abstract

Clustering routing protocols currently have problems such as Single point of failure of cluster head nodes, poor network dynamics, uneven data transmission, etc., which are critical to the optimization of energy efficiency, network lifespan and network topology control. However, this optimization problem is an NP hard problem that conventional algorithms are difficult to solve. This paper proposes a new multi-objective cluster routing protocol (CHEABC-QCRP) aimed at optimizing network energy consumption, system lifespan, and quality of services (QoS). The protocol is based on a new chaotic hybrid elite artificial bee colony algorithm (CHEABC) proposed in this paper, which has strong search ability and greatly reduces convergence time. At the same time, a new chaotic strategy was designed to effectively prevent falling into local optima and premature convergence. In simulation experiments, compared with multiple routing protocols, a large number of test results show that this protocol significantly reduces network energy consumption, greatly improves system lifespan, and effectively improves QoS in IWSN.

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CHEABC-QCRP:面向工业物联网的新型 QoS 感知集群路由协议
聚类路由协议目前存在簇头节点单点故障、网络动态性差、数据传输不均衡等问题,这些问题对于优化能效、网络寿命和网络拓扑控制至关重要。然而,该优化问题是一个 NP 难问题,传统算法难以解决。本文提出了一种新的多目标集群路由协议(CHEABC-QCRP),旨在优化网络能耗、系统寿命和服务质量(QoS)。该协议基于本文提出的一种新的混沌混合精英人工蜂群算法(CHEABC),该算法搜索能力强,收敛时间大大缩短。同时,本文还设计了一种新的混沌策略,以有效防止陷入局部最优和过早收敛。在仿真实验中,与多种路由协议相比,大量测试结果表明,该协议显著降低了网络能耗,大大提高了系统寿命,有效改善了 IWSN 的 QoS。
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来源期刊
Simulation Modelling Practice and Theory
Simulation Modelling Practice and Theory 工程技术-计算机:跨学科应用
CiteScore
9.80
自引率
4.80%
发文量
142
审稿时长
21 days
期刊介绍: The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.
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