Evaluation of Connectivity Reliability in MANETs Considering Link Communication Quality and Channel Capacity

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Authors: Yunlong Bian, Junhai Cao, ChengMing He, Xiying Huang, Ying Wang Shen, Jia Wang
Cited by: 1
References: 34

Abstract

Mobile Ad Hoc Networks (MANETs) exhibit diverse deployment forms, such as unmanned swarms, mobile wireless sensor networks (MWSNs), and Vehicular Ad Hoc Networks (VANETs). While providing significant social application value, MANETs also face the challenge of accurately and efficiently evaluating connectivity reliability. Building on existing studies—which mostly rely on the assumptions of imperfect nodes and perfect links—this paper comprehensively considers link communication quality and channel capacity, and extends the imperfect link assumption to analyze and evaluate the connectivity reliability of MANETs. The Couzin-leader model is used to characterize the ordered swarm movement of MANETs, while various probability models are employed to depict the multiple actual failure modes of network nodes. Additionally, the Free-Space-Two-Ray Ground (FS-TRG) model is introduced to quantify link quality and reliability, and the probability of successful routing path information transmission is derived under the condition that channel capacity follows a truncated normal distribution. Finally, a simulation-based algorithm for solving the connectivity reliability of MANETs is proposed, which comprehensively considers node characteristics and link states. Simulation experiments are conducted using MATLAB R2023b to verify the effectiveness and validity of the proposed algorithm. Furthermore, the distinct impacts of link communication quality and channel capacity on the connectivity reliability of MANETs are identified, particularly in terms of transmission quality and network lifetime.

Fields of Study & Subjects

Mobile Ad Hoc Networks Opportunistic and Delay-Tolerant Networks Vehicular Ad Hoc Networks (VANETs)

Publication details

Journal / source
Electronics
Publisher
MDPI AG
Volume
15
Issue
2
Pages
264–264
Publication date
7 January 2026
Language
EN