.png){kind=icon}
返回
IMUNE: A novel evolutionary algorithm for influence maximization in UAV networks
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jnca.2024.104038.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In a network, influence maximization addresses identifying an optimal set of nodes to initiate influence propagation, thereby maximizing the influence spread. Current approaches for influence maximization encounter limitations in accuracy and efficiency. Furthermore, most existing methods are aimed at the IC (Independent Cascade) diffusion model, and few solutions concern dynamic networks. In this study, we focus on dynamic networks consisting of UAV (Unmanned Aerial Vehicle) clusters that perform coverage tasks and introduce IMUNE, an evolutionary algorithm for influence maximization in UAV networks. We first generate dynamic networks that simulate UAV coverage tasks and give the representation of dynamic networks. Novel fitness functions in the evolutionary algorithm are designed to estimate the influence ability of a set of seed nodes in a dynamic process. On this basis, an integrated fitness function is proposed to fit both the IC and SI (Susceptible- Infected) models. IMUNE can find seed nodes for maximizing influence spread in dynamic UAV networks with different diffusion models through the improvements in fitness functions and search strategies. Experimental results on UAV network datasets show the effectiveness and efficiency of the IMUNE algorithm in solving influence maximization problems.
Keyword:
Influence maximization
Evolutionary algorithm
UAV network
Diffusion model
期刊
IF:
8
论文数:
3.7K
被引数:
1.1W
机构
引用论文
Post‐stroke depression and functional recovery in a population‐based stroke register. The Finnstroke study基于人群的卒中登记中的卒中后抑郁和功能恢复。Finnstroke研究
PREAI
分享收藏Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles无人机安全协议及漏洞研究综述.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges无人机无线通信: 机遇与挑战OAAI
OAAI分享收藏A survey on meta-heuristic algorithms for the influence maximization problem in the social networksCOMPUTING
COMPUTINGIF2.8
PREAI
分享收藏分享收藏Triggers of acute attacks of gout, does age of gout onset matter? A primary care based cross-sectional studyPLOS ONEOAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容