EAI Endorsed Transactions on Industrial Networks and Intelligent Systems最新文献_第7页

Performance Evaluation of MAC Layer Protocol over Wireless Body Area Sensor Networks 无线体域传感器网络中MAC层协议的性能评估

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-04-21 DOI: 10.4108/EAI.21-4-2021.169417

Ong Mau Dung, T. Lam, Thanh-Hieu Nguyen

引用次数: 1

Intercept Probability Analysis of Cooperative Cognitive Networks Using Fountain Codes and Cooperative Jamming 基于喷泉码和协同干扰的协同认知网络拦截概率分析

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-26 DOI: 10.4108/EAI.26-1-2021.168229

Tran Trung Duy, Le Chu Khan, N. Binh, Nguyen Luong Nhat

{"title":"Intercept Probability Analysis of Cooperative Cognitive Networks Using Fountain Codes and Cooperative Jamming","authors":"Tran Trung Duy, Le Chu Khan, N. Binh, Nguyen Luong Nhat","doi":"10.4108/EAI.26-1-2021.168229","DOIUrl":"https://doi.org/10.4108/EAI.26-1-2021.168229","url":null,"abstract":"This paper evaluates intercept probability (IP) of a cooperative cognitive radio network. Using Fountain codes, a secondary source continuously generates encoded packets, and sends them to secondary destination and relay nodes that attempt to receive a sufficient number of the encoded packets for recovering the source data. If the relay can sufficiently collect the packets before the destination, it replaces the source to transmit the encoded packets to the destination. Also in the secondary network, a passive eavesdropper attempts to illegally receive the packets sent by the source and relay nodes, and if it can accumulate enough encoded packets, the source data is intercepted. To enhance secrecy performance, in terms of IP, a cooperative jammer is used to transmit noises on the eavesdropper. We also propose a simple transmit power allocation method for the secondary transmitters such as source, relay and jammer so that outage performance of a primary network is not harmful. We derive an exact closed-form expression of IP over Rayleigh fading channel, and verify it by performing Monte-Carlo simulations. Received on 23 December 2020; accepted on 22 January 2021; published on 26 January 2021","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"21 1","pages":"e3"},"PeriodicalIF":0.0,"publicationDate":"2021-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87245711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Design of Group Precoding for MU-MIMO Systems with Exponential Spatial Correlation Channel 具有指数空间相关信道的MU-MIMO系统的群预编码设计

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-26 DOI: 10.4108/EAI.26-1-2021.168228

V. Dinh, Thanh B. Chu, Minh-Tuan Le, Vu-Duc Ngo

引用次数: 0

An Efficient Pest Classification In Smart Agriculture Using Transfer Learning 基于迁移学习的智能农业害虫分类

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-26 DOI: 10.4108/EAI.26-1-2021.168227

Tuan T. Nguyen, Quoc-Tuan Vien, H. Sellahewa

引用次数: 8

Structural Importance-based Link Prediction Techniques in Social Network 基于结构重要性的社交网络链接预测技术

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-07 DOI: 10.4108/eai.7-1-2021.167840

A. Samad, Muhammad Azam, Mamoona Qadir

{"title":"Structural Importance-based Link Prediction Techniques in Social Network","authors":"A. Samad, Muhammad Azam, Mamoona Qadir","doi":"10.4108/eai.7-1-2021.167840","DOIUrl":"https://doi.org/10.4108/eai.7-1-2021.167840","url":null,"abstract":"Link prediction in social network gaining high attention of researchers nowadays due to the rush of users towards social network. Link prediction is known as the prediction of missing or unobserved link, i.e., new interaction is going to be occurring in a near future. State-of-the-art link prediction techniques(e.g., Jaccard Index, Resource Allocation, SAM Similarity, Sorensen Index, Salton Cosine, Hub Depressed Index and Parameter-Dependent) considers only similarity of the pair of node in order to ﬁnd the link. However, we argued that nodes having same status of centralization along with high similarity can connect to each other in a future. In this paper, we have proposed structural importance-based state-of-the-art link prediction techniques and compared. We have compared structural importance-based link prediction techniques with state-of-the-art techniques. The experiments are performed on four di ﬀ erent datasets (i.e., Astro, CondMat, HepPh and HepTh). Our results show that structural importance-based link prediction techniques outperformed than state-of-the-art link prediction techniques by getting 95% at threshold 0.1 and 68% at threshold 0.7.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"1 1","pages":"e4"},"PeriodicalIF":0.0,"publicationDate":"2021-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79525780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

D2D Multi-hop Multi-path Communications in B5G Networks: A Survey on Models, Techniques, and Applications B5G网络中的D2D多跳多路径通信:模型、技术和应用综述

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-07 DOI: 10.4108/eai.7-1-2021.167839

Quang-Nhat Tran, Nguyen-Son Vo, Q. Nguyen, Minh-Phung Bui, Thanh-Minh Phan, Van-Viet Lam, Antonino Masaracchia

{"title":"D2D Multi-hop Multi-path Communications in B5G Networks: A Survey on Models, Techniques, and Applications","authors":"Quang-Nhat Tran, Nguyen-Son Vo, Q. Nguyen, Minh-Phung Bui, Thanh-Minh Phan, Van-Viet Lam, Antonino Masaracchia","doi":"10.4108/eai.7-1-2021.167839","DOIUrl":"https://doi.org/10.4108/eai.7-1-2021.167839","url":null,"abstract":"In 5G networks, device-to-device (D2D) communications have played an important role in enlarging the coverage, relaxing the workload of backhaul links of both macro base stations (MBSs) and small-cell base stations (SBSs), and serving the mobile users (MUs) local applications and services at high capacity. However, beyond 5G (B5G or 6G) networks will require disruptive solutions that can assist D2D communications to meet numerous advanced applications and services requested by dense MUs. One of the most e ﬃ cient solutions for D2D communications is multi-hop multi-path (MHMP). In this paper, we present a detailed survey of the so called D2D MHMP communications in terms of models, techniques, and applications for B5G networks. We discuss and propose the future research directions of D2D MHMP communications. All the models, techniques, and applications as well as future research directions of D2D MHMP communications provide the useful insights into B5G networks design and optimisation. of the Creative Commons Attribution license ( ), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"64 1","pages":"e3"},"PeriodicalIF":0.0,"publicationDate":"2021-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77631023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Industrial Networks and Intelligent Systems: 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings 工业网络和智能系统:第七届EAI国际会议，INISCOM 2021，越南河内，2021年4月22日至23日，论文集

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-77424-0

引用次数: 0

An Improved Agent-Based AODV Routing Protocol for MANET 一种改进的基于agent的MANET AODV路由协议

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.4108/eai.23-6-2021.170241

Van-Hau Nguyen, V. Nam, Linh Dao Manh, V. K. Quy

{"title":"An Improved Agent-Based AODV Routing Protocol for MANET","authors":"Van-Hau Nguyen, V. Nam, Linh Dao Manh, V. K. Quy","doi":"10.4108/eai.23-6-2021.170241","DOIUrl":"https://doi.org/10.4108/eai.23-6-2021.170241","url":null,"abstract":"The mobile ad-hoc network (MANET) is a special mobile network that has self-configuration and self-establish abilities to communicate conveniently. MANET is forming mobile devices such as mobile phones, personal digital assistants (PDAs), laptops, etc. As a result of the rapid, flexibility, and facilitate in communication, nowadays, MANET has revolutionized many real-life applications, ranging from smart agriculture and smart cities to forest fire detection systems, and expected to have vital contributions into the future of the Internet. However, due to the mobile nature of network nodes combined with the network architecture that without relying on central devices pre-installed such as base stations, the high-performance routing problem is one of the most significant challenges in the MANET environment. In this study, we propose a highperformance routing protocol, namely agent-based ad-hoc on-demand distance vector (A-AODV), to select the optimal route with high throughput and low latency. Through the developed routing algorithm, we explain how the suitable route with the lowest cost based on agents. To demonstrate the effectiveness of the proposed protocol, we compared A-AODV’s performance with two well-known traditional protocols on NS2. Simulation results show that A-AODV improves superior performance over the traditional protocols.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"65 1","pages":"e4"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78956061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

User mobility into NOMA assisted communication: Analysis and a Reinforcement Learning with Neural Network based approach 用户移动性进入NOMA辅助通信:分析和基于神经网络的强化学习方法

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.4108/eai.7-1-2021.167841

Antonino Masaracchia, M. Nguyen, A. Kortun

引用次数: 4

GA-based Energy Aware Path Planning Framework for Aerial Network Assistance 基于ga的空中网络援助能量感知路径规划框架

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.4108/eai.13-4-2021.169186

Yusuf Özçevik, Elif Bozkaya, Mertkan Akkoç, Muhammed Rasit Erol, B. Canberk

{"title":"GA-based Energy Aware Path Planning Framework for Aerial Network Assistance","authors":"Yusuf Özçevik, Elif Bozkaya, Mertkan Akkoç, Muhammed Rasit Erol, B. Canberk","doi":"10.4108/eai.13-4-2021.169186","DOIUrl":"https://doi.org/10.4108/eai.13-4-2021.169186","url":null,"abstract":"Aerial networks have enormous potential to assist terrestrial communications under heavy tra ﬃ c requests for a predictable duration. However, such potential for improving both the performance and the coverage through the use of drones can face a major challenge in terms of power limitation. Hence, we consider the energy consumption characteristic of the components in such networks to provide energy aware ﬂight path planning. For this purpose, a ﬂight path planning scheme is proposed on an underlying topology graph that models the energy consumption of path traversals in the aerial network. In the proposed model, we o ﬀ er to seek for the minimum energy consumption on a global problem domain during the entire operational time. Thus, we provide a concrete problem formulation and implement a ﬂight path planning with Genetic Algorithms (GA) approach. Moreover, a novel end-system initiated handover procedure is illustrated to preserve connectivity of terrestrial users in the network architecture. In the end, the evaluation of the proposed model is conducted under three di ﬀ erent scales of social event scenarios. A comparison with a dummy path planning scheme without energy awareness concerns is presented according to a set of parameters. The evaluation outcomes show that the proposed model is able to save 20% energy consumption, provides 15% less number of terrestrial replenishment, and 18% more average endurance for the topology. Besides, another energy aware path planning scheme in the literature o ﬀ ering a deployment with Bellman Ford algorithm is also included in the evaluation to evaluate the feasibility of the proposed framework for the enhanced problem domain.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"37 1","pages":"e5"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79139551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4