Pervasive and Mobile Computing最新文献_第3页

Edge computing and 5G network integration for mobility-aware service deployments 边缘计算和5G网络集成，用于移动感知服务部署

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-24 DOI: 10.1016/j.pmcj.2025.102134

João Gameiro , Rodrigo Rosmaninho , Gonçalo Perna , Pedro Rito , Susana Sargento , Carlos Marques , Filipe Pinto

{"title":"Edge computing and 5G network integration for mobility-aware service deployments","authors":"João Gameiro , Rodrigo Rosmaninho , Gonçalo Perna , Pedro Rito , Susana Sargento , Carlos Marques , Filipe Pinto","doi":"10.1016/j.pmcj.2025.102134","DOIUrl":"10.1016/j.pmcj.2025.102134","url":null,"abstract":"<div><div>The growing scale of smart city sensing devices and infrastructure entails a wide variety of available sensing information that can provide valuable insights into user mobility and traffic congestion. This information can be used to optimize service delivery through the development of mobility-aware services. 5G systems and their associated technologies provide an ideal environment with capabilities to efficiently support edge computing and bring the processing and storage resources closer to the end users, which results in a latency and backhaul usage reduction.</div><div>This article proposes the integration of edge computing in 5G operator network and a mobility/road-side infrastructure with edge orchestration to provide mobility-aware services to the end-users on demand. With this approach, a service instantiation can be translated into resource allocation both on the 5G platform through multi-slicing and the edge infrastructure. Resource management is then optimized for the users on the move by continuously allocating the necessary virtual network slices, processing, and storage resources in the appropriate locations for the user to consume its services while maintaining the appropriate QoS levels and optimized resource distribution in the edge platform. This approach is evaluated in a real mobile 5G network with emulated Radio Access Network (RAN) resources through two use cases based on infotainment and emergency services. The results show that the approach is efficient in using mobility, service requirements, and platform’s resources information to enable a proactive resource reservation both in the 5G base stations and edge computing nodes throughout the path traversed by the users.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102134"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145615395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Supervised momentum contrastive learning for mmWave-based human action recognition 基于毫米波的人类动作识别的监督动量对比学习

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-10 DOI: 10.1016/j.pmcj.2025.102131

Huimin Yao , Dengao Li , Jumin Zhao

{"title":"Supervised momentum contrastive learning for mmWave-based human action recognition","authors":"Huimin Yao , Dengao Li , Jumin Zhao","doi":"10.1016/j.pmcj.2025.102131","DOIUrl":"10.1016/j.pmcj.2025.102131","url":null,"abstract":"<div><div>Accurate human action recognition (HAR) using sparse millimeter-wave (mmWave) radar point clouds faces significant challenges. Existing approaches suffer from ineffective feature extraction in sparse point clouds, vulnerability to radar noise and multi-path interference, and significant intra-class variance induced by distance–angle variations. To overcome these limitations, we propose SMC-HAR, a novel Supervised Momentum Contrast framework for HAR. SMC-HAR leverages contrastive learning with a joint loss function that integrates supervised contrastive loss and cross-entropy loss. This design enhances feature discriminability, mitigates intra-class dispersion, and promotes feature aggregation within classes while improving separation between classes. Our momentum mechanism dynamically optimizes the feature distribution reference space and bolsters robustness against noise and multi-path interference. Furthermore, we design a domain-specific augmentation optimization strategy tailored for mmWave radar point clouds in HAR, which explores optimal synergistic combinations of augmentations to better adapt to point cloud sparsity and action pattern characteristics. Experimental results on the widely used MM-Fi dataset show that SMC-HAR achieves a classification accuracy of 88.40%, marking a substantial 8.40% improvement over the baseline cross-entropy model. This demonstrates the effectiveness of our framework in enhancing feature discriminability and robustness for mmWave point cloud-based HAR.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102131"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lyapunov-based queue stability optimization for task offloading in UAV-assisted VEC 基于lyapunov的无人机辅助VEC任务卸载队列稳定性优化

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-10-30 DOI: 10.1016/j.pmcj.2025.102126

Xin He, Yuanzhi Ni, Hongfeng Tao

引用次数: 0

A blockchain-assisted privacy-preserving framework for Mobile CrowdSensing 一个区块链辅助的移动众测隐私保护框架

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-05 DOI: 10.1016/j.pmcj.2025.102125

Nitish Andola , Vijay Kumar Yadav

{"title":"A blockchain-assisted privacy-preserving framework for Mobile CrowdSensing","authors":"Nitish Andola , Vijay Kumar Yadav","doi":"10.1016/j.pmcj.2025.102125","DOIUrl":"10.1016/j.pmcj.2025.102125","url":null,"abstract":"<div><div>Mobile Crowdsensing (MCS) has emerged as a powerful paradigm for large-scale data collection using mobile devices. However, traditional MCS frameworks pose significant privacy risks, particularly concerning worker identity and location disclosure during task execution and payment processing. Existing privacy-preserving approaches, such as dummy location insertion, k-anonymity, and differential privacy, either compromise efficiency or fail to address all privacy leakage vectors. To overcome these challenges, we propose a Zero-Knowledge Proof (ZKP)-based blockchain framework that ensures robust privacy protection while maintaining system efficiency. Our protocol leverages zk-SNARKs to protect worker identity and location during task submission and payment transactions. By integrating Ethereum smart contracts, we eliminate reliance on a centralized Crowdsensing Service Provider (CSP), mitigating single point of failure and Denial-of-Service (DoS) risks. We have provided formal security proofs for the transaction privacy. Through detailed experimentation on the Sepolia test network, we analyze gas costs and transaction finalization times, demonstrating that proof verification, despite its computational complexity, remains practical due to off-chain proof generation. The proposed framework optimizes on-chain and off-chain interactions, enhancing scalability while preserving user privacy. A comparative analysis against existing frameworks highlights our model’s superior privacy guarantees and computational efficiency.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102125"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain-enabled dynamic formation control and reorganization for intelligent UAV swarms 基于区块链的智能无人机群动态编队控制与重组

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-04 DOI: 10.1016/j.pmcj.2025.102129

Huayu Li , Peiyan Li , Wei Zhang , Huiling Shi , Lizhuang Tan , Peiying Zhang

{"title":"Blockchain-enabled dynamic formation control and reorganization for intelligent UAV swarms","authors":"Huayu Li , Peiyan Li , Wei Zhang , Huiling Shi , Lizhuang Tan , Peiying Zhang","doi":"10.1016/j.pmcj.2025.102129","DOIUrl":"10.1016/j.pmcj.2025.102129","url":null,"abstract":"<div><div>The rapid advancement of unmanned aerial vehicle (UAV) swarm technology has led to growing demands for secure, autonomous, and adaptive coordination mechanisms. However, conventional centralized swarm control systems suffer from single points of failure and limited adaptability in dynamic environments. To address these challenges, this paper presents a blockchain-based decentralized architecture for dynamic formation control and reorganization of intelligent UAV swarms. The proposed system utilizes smart contracts to handle UAV registration, task configuration, data submission, slot allocation, and leader election. An event-driven mechanism is incorporated, allowing UAVs to react in real time to blockchain-triggered events such as leader changes and formation updates. Moreover, UAVs continuously monitor QGroundControl (QGC) heartbeat signals to detect disconnections and autonomously initiate reorganization via on-chain logic. Experimental results demonstrate that the proposed architecture enhances swarm flexibility, reduces control latency, and ensures reliable coordination under dynamic and fault-prone conditions. These findings highlight the potential of blockchain technology in enabling secure and autonomous swarm management within future space-air-ground integrated network.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102129"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Listen to the road: acoustic traffic monitoring on edge platforms via Lightweight Noise Spectrogram Transformer (LNST) 聆听道路：通过轻型噪声频谱转换器（LNST）在边缘平台上进行声学交通监测

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-06 DOI: 10.1016/j.pmcj.2025.102132

Guowen Li , Zihang Huang , Teng Fei , Dunxin Jia , Meng Bian

{"title":"Listen to the road: acoustic traffic monitoring on edge platforms via Lightweight Noise Spectrogram Transformer (LNST)","authors":"Guowen Li , Zihang Huang , Teng Fei , Dunxin Jia , Meng Bian","doi":"10.1016/j.pmcj.2025.102132","DOIUrl":"10.1016/j.pmcj.2025.102132","url":null,"abstract":"<div><div>Accurate real-time traffic flow monitoring is crucial for intelligent transportation systems (ITS), enabling optimized traffic management, urban planning, and policy-making. However, conventional methods face cost, deployment, weather, and privacy challenges. Addressing these shortcomings, this study investigates the potential of utilizing ubiquitous traffic noise, an inherently accessible, cost-efficient, non-intrusive, and privacy-preserving signal, as a viable data source. We propose the Lightweight Noise Spectrogram Transformer (LNST), a novel deep learning model for analyzing traffic noise spectrograms as a Proof of Concept. LNST leverages the Transformer architecture's self-attention mechanism to effectively capture long-range temporal and spectral dependencies crucial for interpreting complex traffic acoustics. Trained and evaluated on diverse urban traffic scenarios, LNST demonstrates significant advantages. Experimental results show it consistently outperforms baseline models, achieving superior prediction accuracy (MSE, MAE, R²). Furthermore, through transfer learning and model pruning, LNST achieves high computational efficiency with substantially fewer parameters and faster inference speeds. Its lighter design also ensures its feasibility for deployment on resource-constrained edge computing platforms. This work validates the practicality of acoustic sensing for traffic monitoring and presents an accurate, computationally efficient, and LNST as a cost-effective, easily deployable, and privacy-respecting solution, offering a valuable supplementary tool for advancing ITS.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102132"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cluster routing algorithm of 4 G wireless communication AD Hoc network based on LoRa transmission technology 基于LoRa传输技术的4g无线通信AD Hoc网络集群路由算法

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-01 DOI: 10.1016/j.pmcj.2025.102128

Guofan Sun , Jing Guo , Han Wu , Fei Qi

{"title":"Cluster routing algorithm of 4 G wireless communication AD Hoc network based on LoRa transmission technology","authors":"Guofan Sun , Jing Guo , Han Wu , Fei Qi","doi":"10.1016/j.pmcj.2025.102128","DOIUrl":"10.1016/j.pmcj.2025.102128","url":null,"abstract":"<div><div>In complex terrains, underground pipe galleries, and dense building clusters, 4 G wireless communication at power distribution sites often suffers from interruption or delay due to signal obstruction or heavy base station loads. This problem not only hinders real-time data acquisition and emergency response, but also causes load imbalance, reduced throughput, and frequent changes in node states in the clustering structure of ad hoc networks. To address these challenges, this study proposes a clustering routing algorithm for 4 G wireless communication ad hoc networks in power distribution work sites, leveraging LoRa transmission technology. By utilizing the high-speed transmission capability of 4 G networks to handle large-scale real-time data and integrating WaveMesh wireless ad hoc network technology, the proposed solution enables remote control of power distribution field equipment. The IK-means algorithm is employed for clustering, while a clustered network architecture facilitates large-scale networking. Based on received reverse label information, multiple paths are established, and clustering routing for ad hoc networks is achieved using LoRa transmission technology. Experimental results demonstrate that the proposed algorithm generates clusters with strong load balancing, achieving a packet loss rate of 4.5 %, high throughput performance, and the lowest node state change rate, all remaining below 4.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102128"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RTXBEE: Real-time communication module for critical Internet of Things applications RTXBEE：用于关键物联网应用的实时通信模块

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-07 DOI: 10.1016/j.pmcj.2025.102133

Valentin Stangaciu , Cristina Stangaciu , Daniel-Ioan Curiac , Mihai V. Micea

引用次数: 0

SecureWearTrade: A comprehensive blockchain-enabled IoT framework for secure personal data trading from wearable devices SecureWearTrade：一个全面的支持区块链的物联网框架，用于可穿戴设备的安全个人数据交易

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-11-04 DOI: 10.1016/j.pmcj.2025.102130

Phat T. Tran-Truong , Trung D. Mai , Ha X. Son , Phien N. Nguyen , Tuan T. Le , Triet M. Nguyen , Khanh H. Vo , Bang K. Le , Ngan T.K. Nguyen , Minh N. Nguyen , Anh T. Nguyen , Tung Q. Nguyen

{"title":"SecureWearTrade: A comprehensive blockchain-enabled IoT framework for secure personal data trading from wearable devices","authors":"Phat T. Tran-Truong , Trung D. Mai , Ha X. Son , Phien N. Nguyen , Tuan T. Le , Triet M. Nguyen , Khanh H. Vo , Bang K. Le , Ngan T.K. Nguyen , Minh N. Nguyen , Anh T. Nguyen , Tung Q. Nguyen","doi":"10.1016/j.pmcj.2025.102130","DOIUrl":"10.1016/j.pmcj.2025.102130","url":null,"abstract":"<div><div>This article introduces SecureWearTrade, a comprehensive blockchain-enabled IoT framework designed to advance secure personal data trading from wearable devices in healthcare. Addressing critical challenges related to security, privacy, and efficiency in resource-constrained environments, our work makes three key contributions: (1) an enhanced hierarchical identity-based encryption (HIBE) scheme with wildcard support, enabling fine-grained and flexible access control tailored to the dynamic needs of healthcare data management; (2) a novel integration of blockchain with IPFS, providing immutable transaction records and efficient key management; and (3) an optimized batch processing mechanism for effectively handling multiple data streams. By comprehensive evaluation with real-world settings with devices and dataset, SecureWearTrade demonstrates superior performance in encryption and decryption efficiency, resource utilization, and scalability compared to existing solutions. Additionally, the framework maintains robust security under the Bilinear Diffie–Hellman Exponent (BDHE) assumption. By ensuring privacy-preserving data trading, SecureWearTrade offers a scalable and trustworthy solution for the IoT-Cloud continuum.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102130"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DeSIST: Emergent security in IoT through Decentralized Strategic Interactions — A game-theoretic Zero Trust framework DeSIST：通过分散战略交互的物联网应急安全——博弈论零信任框架

IF 3.5 3区计算机科学

Pervasive and Mobile Computing Pub Date : 2026-01-01 Epub Date: 2025-10-28 DOI: 10.1016/j.pmcj.2025.102124

Seyed Hossein Ahmadpanah , Meghdad Mirabi , Sanaz Sobhanloo , Pania Afsharfarnia , Donya Fallah

{"title":"DeSIST: Emergent security in IoT through Decentralized Strategic Interactions — A game-theoretic Zero Trust framework","authors":"Seyed Hossein Ahmadpanah , Meghdad Mirabi , Sanaz Sobhanloo , Pania Afsharfarnia , Donya Fallah","doi":"10.1016/j.pmcj.2025.102124","DOIUrl":"10.1016/j.pmcj.2025.102124","url":null,"abstract":"<div><div>Numerous Internet of Things (IoT) devices are connecting our world, but they also introduce new security risks—particularly in large, power-constrained networks where traditional security techniques often fail. This paper proposes a new framework for IoT security, called DeSIST (Decentralized Strategic Interaction for Secure IoT), which is grounded in game theory and Zero Trust principles. Unlike approaches that rely on centralized watchdogs or explicit trust scores, DeSIST models interactions between IoT nodes as a sequence of strategic games. Treating nodes as rational agents, each maximizes its own expected utility when making decisions. Security emerges naturally because these games are designed with reward systems that encourage cooperation among trustworthy nodes while strategically isolating malicious or non-compliant actors. DeSIST employs a lightweight Local Information Assessor (LIA) to collect immediate, local, and contextually relevant information about ongoing or anticipated interactions, and a Strategic Decision Unit (SDU) to evaluate possible strategies and select the one that maximizes expected utility. Through theoretical analysis and extensive simulations, we show that DeSIST can decentralize and resource-efficiently uphold Zero Trust principles while significantly enhancing network resilience against common IoT attacks. Compared to existing approaches, the simulation results demonstrate notable improvements in both security and performance across different attack scenarios. DeSIST provides a promising path toward strong, incentive-driven, and emergent security in the evolving IoT landscape.</div></div>","PeriodicalId":49005,"journal":{"name":"Pervasive and Mobile Computing","volume":"115 ","pages":"Article 102124"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145420338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0