
Advances in Intelligent Networking and Collaborative Systems
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This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems.
With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems.
Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications as a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.
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Content
- Intro
- Welcome Message from the INCoS-2020 Organizing Committee
- INCoS-2020 Organizing Committee
- Honorary Chair
- General Co-chairs
- Program Co-chairs
- Workshops Co-chairs
- International Advisory Committee
- International Liaison Co-chairs
- Award Co-chairs
- Web Administrator Co-chairs
- Local Arrangement Co-chairs
- Finance Chair
- Steering Committee Chair
- Track Areas and PC Members
- Track 1: Data Mining, Machine Learning and Collective Intelligence
- Track Co-chairs
- TPC Members
- Track 2: Fuzzy Systems and Knowledge Management
- Track Co-chairs
- TPC Members
- Track 3: Grid and P2P Distributed Infrastructure for Intelligent Networking and Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 4: Nature's Inspired Parallel Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 5: Security, Organization, Management and Autonomic Computing for Intelligent Networking and Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 6: Software Engineering, Semantics and Ontologies for Intelligent Networking and Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 7: Wireless and Sensor Systems for Intelligent Networking and Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 8: Service-Based Systems for Enterprise Activities Planning and Management
- Track Co-chairs
- TPC Members
- Track 9: Next Generation Secure Network Protocols and Components
- Track Co-chairs
- TPC Members
- Track 10: Big Data Analytics for Learning, Networking and Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 11: Cloud Computing: Services, Storage, Security and Privacy
- Track Co-chairs
- TPC Members
- Track 12: Intelligent Collaborative Systems for Work and Learning, Virtual Organization and Campuses
- Track Co-chairs
- TPC Members
- Track 13: Social Networking and Collaborative Systems
- Track Co-chairs
- TPC Members
- Track 14: Intelligent and Collaborative Systems for e-Health
- Track Co-chairs
- TPC Members
- Track 15: Mobile Networking and Applications
- Track Co-chairs
- TPC Members
- INCoS-2020 Reviewers
- INCoS-2020 Keynote Talks
- Trustworthy Decision-Making and Artificial Intelligence
- Mining and Modeling Regime Shifts for Multiple Time Series Forecasting
- Contents
- Performance Evaluation of WMNs by WMN-PSODGA Simulation System Considering Exponential Distribution of Mesh Clients and Different Router Replacement Methods
- 1 Introduction
- 2 Proposed and Implemented Simulation System
- 2.1 Particle Swarm Optimization
- 2.2 Distributed Genetic Algorithm
- 2.3 WMN-PSODGA Hybrid Simulation System
- 3 Simulation Results
- 4 Conclusions
- References
- An Integrated Fuzzy-Based Simulation System for Driving Risk Management in VANETs Considering Road Condition as a New Parameter
- 1 Introduction
- 2 Overview of VANETs
- 3 Proposed Fuzzy-Based Simulation System
- 4 Simulation Results
- 5 Conclusions
- References
- Performance Evaluation of RIWM and RDVM Router Replacement Methods for WMNs by WMN-PSOHC Hybrid Intelligent System
- 1 Introduction
- 2 Proposed and Implemented Simulation System
- 2.1 Particle Swarm Optimization
- 2.2 Hill Climbing
- 2.3 WMN-PSOHC System Description
- 3 WMN-PSOHC Web GUI Tool
- 4 Simulation Results
- 5 Conclusions
- References
- A Decision-Making System Based on Fuzzy Logic for IoT Node Selection in Opportunistic Networks Considering Node Betweenness Centrality as a New Parameter
- 1 Introduction
- 2 IoT and OppNets
- 3 Description of the Proposed System
- 4 System Evaluation
- 5 Conclusions and Future Work
- References
- Applying a Consensus Building Approach to Communication Projects in the Health Sector: The Momento Medico Case Study
- 1 Introduction
- 2 A Computational Approach for the Consensus Conference
- 2.1 Phase #1: Conference Setting
- 2.2 Phase #2: Brainstorming for Decision Problem Definition
- 2.3 Phase #3: Configuring Decision-Making Groups
- 2.4 Phase #4: Consensus Building in Decision-Making Groups
- 2.5 Phase #5: Selection of the Most Suitable Alternative
- 3 Prototype Implementation
- 4 Experiments and Results
- 5 Final Remarks
- References
- Gesture-Based Human-Machine Interface System by Using Omnidirectional Camera
- 1 Introduction
- 2 Related Works
- 3 Gesture-Based Human-Machine Interface System by Using Omnidirectional Camera
- 3.1 Gesture Recognition Method from Image
- 3.2 Design of Gestures
- 4 Performance Evaluation
- 5 Conclusion
- References
- A Secure Group Communication (SGC) Protocol for a P2P Group of Peers Using Blockchain
- 1 Introduction
- 2 System Model
- 2.1 Group Communication
- 2.2 Blockchain
- 2.3 Public Key Infrastructure (PKI)
- 3 SGCB (Secure Group Communication Using Blockchain) Protocol
- 3.1 Distributed Protocol
- 3.2 Blockchain Registration (BR)
- 3.3 Smart Contract-Based Verification (SCV)
- 4 Implementation
- 4.1 System Model
- 4.2 BR Protocol
- 4.3 SCV Protocol
- 5 Concluding Remarks
- References
- Method for Detecting Onset Times of Sounds of String Instrument
- 1 Introduction
- 2 Related Works
- 3 Method for Detecting Onset Times of Sounds from Sound Source of String Instrument
- 3.1 Bow-String Noise
- 3.2 Proposed Method
- 4 Performance Evaluation
- 5 Conclusion
- References
- PageRank for Billion-Scale Networks in RDBMS
- 1 Introduction
- 2 Preliminaries
- 3 PageRank in RDBMS
- 3.1 Table Partitioning
- 4 Experimental Results
- 4.1 Setup Configurations
- 4.2 Results
- 4.3 Experiments on Billion-Scale Networks
- 5 Conclusion
- References
- An Algorithm to Select an Energy-Efficient Sever for an Application Process in a Cluster of Servers
- 1 Introduction
- 2 System Model
- 2.1 Clusters of Servers
- 2.2 Power Consumption and Computation Models
- 3 Estimation Model
- 4 Server Selection Algorithm
- 5 EDS Simulator
- 6 Concluding Remark
- References
- Suggesting Cultural Heritage Points of Interest Through a Specialized Chatbot
- 1 Introduction
- 2 System Architecture
- 3 Knowledge Base Population
- 3.1 Facts
- 3.2 Rules
- 4 TravelBot
- 5 Conclusion
- References
- Considering a Method for Generating Human Mobility Model by Reinforcement Learning
- 1 Introduction
- 2 Datasets
- 2.1 Road Network Data
- 2.2 Mobility Data of Taxis
- 3 Proposed Method
- 3.1 Method for Generating Taxi's Mobility Model Using Reinforcement Learning
- 3.2 Reward Modeling
- 3.3 Simulator for Generating Taxi's Mobility Model by Reinforcement Learning
- 4 Simulation Results
- 5 Summary and Discussions
- References
- Data Mining on Open Public Transit Data for Transportation Analytics During Pre-COVID-19 Era and COVID-19 Era
- Abstract
- 1 Introduction
- 1.1 Prior to the COVID-19 Situation
- 1.2 The Current COVID-19 Situation
- 1.3 Our Contributions
- 2 Related Work
- 3 Our Mining on Open Public Transit Data
- 3.1 Data Preprocessing
- 3.2 Data Mining
- 3.3 Collaborative Reasoning
- 4 Evaluation
- 4.1 Sequential and Periodic Pattern Mining
- 4.2 Frequent Pattern Mining
- 5 Conclusions
- Acknowledgements
- References
- Eye Movement Patterns as a Cryptographic Lock
- Abstract
- 1 Introduction
- 2 User Specific Eye Movements
- 3 Semantic-Based Eye Movements
- 4 Security of Authentication Based on Eye Movements
- 5 Conclusions
- Acknowledgments
- References
- Evolutionary Fuzzy Rules for Intrusion Detection in Wireless Sensor Networks
- 1 Introduction
- 2 Intrusion Detection
- 3 Wireless Sensor Networks
- 4 Evolutionary Fuzzy Rules
- 5 Evolutionary Fuzzy Rules for Intrusion Detection in Wireless Sensor Networks
- 5.1 Evolution of EFRs for Intrusion Detection
- 6 Experiments
- 7 Conclusions
- References
- Blockchain Architecture for Secured Inter-healthcare Electronic Health Records Exchange
- Abstract
- 1 Introduction
- 2 Background and Related Works
- 3 The Proposed Architecture
- 3.1 Request
- 3.2 Reply
- 3.3 Authentication
- 4 Result
- 4.1 Security Analysis
- 4.1.1 Outsider Threat Detection
- 4.1.2 Insider Threat Detection
- 5 Conclusion
- References
- Semi-automatic Knowledge Base Expansion for Question Answering
- 1 Introduction
- 2 Theoretical Background
- 2.1 The Lexicon-Grammar Theory
- 2.2 Knowledege Base for Question Answering
- 2.3 Question Answering Applied to Knowledge Bases
- 2.4 The Role of Semantics in Question Answering
- 3 Methodology
- 3.1 Creation of a Semantic Domain Database
- 3.2 Automatic Expansion of Knowledge Base
- 3.3 Nominalizations and Adjectivalizations
- 4 Conclusion
- References
- Mina: SeMantic vIrtual Assistant for Domain oNtology Based Question-Answering
- 1 Introduction
- 2 Related Works
- 3 Mina Pipeline
- 3.1 NC_Common_Lang
- 3.2 Ontologic Knowledge Base of Domain Answers
- 3.3 QnA System: Query Creation and Filter Algorithm
- 4 Testing the System
- 4.1 Generic QnA Test
- 4.2 Synonym-Based Test
- 4.3 Filter Mechanism Test
- 5 Future Works
- References
- SafeEat: Extraction of Information About the Presence of Food Allergens in Recipes
- 1 Introduction
- 2 System Implementation
- 2.1 Knowledge Base
- 2.2 Rules
- 3 System Implementation
- 4 Experimentation
- 5 Conclusions
- References
- Accelerated Neural Intrusion Detection for Wireless Sensor Networks
- 1 Introduction
- 2 Intrusion Detection
- 3 Wireless Sensor Networks
- 3.1 Neural Models for Intrusion Detection
- 3.2 Acceleration of Neural Models
- 4 Accelerated Neural Intrusion Detection for WSNs
- 5 Experiments and Results
- 6 Conclusions
- References
- End-to-End Security for Connected Vehicles
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Protocol Stack for Connected Vehicles
- 2.2 Protection from Compromised Keys
- 2.3 Security Keys and Functions
- 3 Proposed Scheme
- 3.1 Cryptographic Handshake and Initial Shared Key
- 3.2 Message Key Creation and Management
- 3.3 Security Analysis
- 4 Conclusion
- Acknowledgments
- References
- Triangle Enumeration on Massive Graphs Using AWS Lambda Functions
- 1 Introduction
- 1.1 Our Contribution
- 2 Related Work
- 2.1 Distributed-Memory Triangle Algorithms
- 2.2 Map-Reduce Algorithms and Shuffled Data
- 3 Background
- 3.1 Preprocessing
- 3.2 Amazon Website Service
- 4 PTE Algorithm
- 5 Experiments
- 5.1 Data Collection
- 5.2 Setup
- 5.3 Experimental Results
- 5.4 Insights
- 6 Conclusions and Future Work
- References
- C'Meal! the ChatBot for Food Information
- 1 Introduction
- 2 Creation of the Knowledge Base
- 3 Semantic Text Processing
- 4 Chatbot Algorithm Implementation
- 5 Conclusions
- References
- A Study on the Effect of Triads on the Wigner's Semicircle Law of Networks
- 1 Introduction
- 2 Preliminary
- 2.1 Network
- 2.2 The Wigner's Semicircle Law
- 3 Experiment Method
- 3.1 Network Generation Method
- 3.2 Evaluation Method for the Effect of the Triads on the Wigner's Semicircle Law
- 4 Experiment Result
- 4.1 Does the Triads Affect the Acceptance of the Wigner's Semicircle Law?
- 4.2 How the Triads Affect the Relative Error n(mTF)?
- 5 Conclusion and Future Work
- References
- COVID-19-FAKES: A Twitter (Arabic/English) Dataset for Detecting Misleading Information on COVID-19
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Data-Collection
- 3.1 Twitter Data
- 3.2 Tweets Collection
- 3.3 Annotation Process
- 4 Exploratory Data Analysis (EDA)
- 5 Conclusion and Future Work
- References
- Precision Dosing Management with Intelligent Computing in Digital Health
- Abstract
- 1 Introduction
- 2 Selection of Model Drugs
- 3 Compilation of Child Clearance Database
- 4 Physiologically Based Hepatic Clearance Scaling
- 5 Physiologically Based Renal Clearance Scaling
- 6 Drug and System Specific Input
- 7 Computing Framework with Model Evaluation and Simulation
- 8 Conclusions and Future Work
- References
- Optimal Number of MOAP Robots for WMNs Using Silhouette Theory
- 1 Introduction
- 2 Related Work
- 3 Implemented Moving Omnidirectional Access Point Robot
- 3.1 Overview of MOAP Robot
- 3.2 Control System
- 3.3 Kinematics
- 4 Silhouette Theory to Decide Optimal Number of MOAP Robots
- 5 Simulation Results
- 6 Conclusions and Future Work
- References
- Performance Evaluation of a Recovery Method for Vehicular DTN Considering Different Reset Thresholds
- 1 Introduction
- 2 Related Work
- 3 Enhanced Dynamic Timer Method
- 3.1 Overview of EDT
- 3.2 Timer Setting of EDT
- 4 Evaluation
- 4.1 Evaluation Setting
- 4.2 Evaluation Results
- 5 Conclusions
- References
- Survey of UAV Autonomous Landing Based on Vision Processing
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Analysis to the Implementation Process and Common Methods of Autonomous Landing
- 3.1 Image Processing
- 3.1.1 Common Edge Detection Algorithms
- 3.1.2 Image Grayscale Processing, Threshold Segmentation and Thresholding
- 3.2 Target Tracking
- 3.2.1 Target Tracking Based on LK Optical Flow Method
- 3.2.2 Target Tracking Based on TLD Algorithm
- 3.3 Position Estimation and Autonomous Control Technology
- 3.3.1 Kalman Filter
- 3.3.2 PID Control Technology
- 4 Challenges and Research Ideas of Visual Navigation in the Field of Autonomous Landing of UAV
- 5 Conclusion
- References
- Improved Sentiment Urgency Emotion Detection for Business Intelligence
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Methodology
- 3.1 Training the Improved Sentiment Urgency Emotion Detection Model
- 4 Statement of Results and Analysis
- 5 Conclusion
- References
- Knowledge-Based Networks for Artificial Intuition
- 1 Introduction
- 2 Background: Network Theory and Semantic Networks
- 2.1 Network Theory
- 2.2 Semantic Network
- 2.3 Measurements of Semantic Similarities and Relatedness
- 3 Essential Components of the Artificial Intuition
- 4 Knowledge-Based Networks for Artificial Intuition: ConceptNet and Wikipedia
- 4.1 ConceptNet
- 4.2 Wikipedia
- 5 Conclusion and Future Works
- References
- Research on Foreign Anti-terrorism Intelligence Early Warning Based on Visual Measurement
- Abstract
- 1 Introduction
- 2 Research Data and Methods
- 3 Analysis of Domestic and Foreign Anti-terrorism Intelligence Early Warning Research
- 3.1 Analysis of the Number of Published Documents
- 3.2 Analysis of Country
- 3.3 Analysis of Core Journals
- 3.4 Analysis of Core Authors
- 3.5 Analysis of Co-authors
- 3.6 Analysis of Core Institutions
- 3.7 Analysis of Co-institutions
- 4 Analysis of Hotpots and Frontiers of Foreign Anti-terrorism Intelligence Early Warning Research
- 4.1 Analysis of Hotpots of Foreign Anti-terrorism Intelligence Early Warning Research
- 4.2 Analysis of Frontiers of Foreign Anti-terrorism Intelligence Early Warning Research
- 5 Conclusions
- Credit Rating Based on Hybrid Sampling and Dynamic Ensemble
- Abstract
- 1 Introduction
- 2 Related Works
- 3 A Credit Scoring Model Based on Hybrid Sampling and Dynamic Ensemble
- 3.1 The Overall of the Credit Scoring Model
- 3.2 Hybrid Sampling
- 3.3 Dynamic Ensemble
- 4 Experiments and Results Analysis
- 4.1 Experimental Data and Settings
- 4.2 Evaluation Metric
- 4.3 Performance Comparisons
- 5 Conclusion
- Acknowledgments
- References
- Low Infrared Emission Hybrid Frequency Selective Surface with Low-Frequency Transmission and High-Frequency Low Reflection in Microwave Region
- Abstract
- 1 Introduction
- 2 Results
- 3 Conclusion
- Acknowledgements
- References
- Rapid Detection of Crowd Abnormal Behavior Based on the Hierarchical Thinking
- Abstract
- 1 Introduction
- 2 Proposed Method
- 2.1 Determine the Target Area
- 2.2 Feature Extraction
- 2.3 Determine Anomaly
- 3 Experiments and Analysis
- 4 Conclusion
- References
- Deep and Shallow Feature Fusion and Recognition of Recording Devices Based on Attention Mechanism
- Abstract
- 1 Introduction
- 2 Multi-feature Fusion Mechanism and Process Based on Attention Mechanism
- 2.1 Attention Multi-feature Fusion Architecture
- 2.2 Attention Multi-feature Fusion Process
- 3 Network Extraction of Embedded Features
- 3.1 Extraction of Embedded Features Based on DNN
- 3.2 CNN-Based Embedded Feature Extraction
- 4 Attention Mechanism
- 4.1 Attention Mechanism
- 5 Experiment and Analysis
- 5.1 Baseline System and Data Set
- 5.2 Compare the Effectiveness Experiments of CNN-Based Bottleneck Feature Extractor and DNN Bottleneck Feature Extractor
- 5.3 Experiments on the Effectiveness of the Attention Mechanism
- 5.4 Compare the Baseline System with Experiments on the Effectiveness of the Entire Model
- 5.5 Discussion
- 6 Conclusion
- Acknowledgements
- References
- Teaching Evaluation Index Based on Analytic Hierarchy Process
- Abstract
- 1 Analysis of Online Teaching Status
- 2 Teaching Evaluation Index Based on AHP
- 2.1 Brief Introduction of AHP
- 2.2 Basic Steps of AHP
- 2.2.1 Establish the Hierarchical Structure Model
- 2.2.2 Construct Judgment Matrix and Assign
- 2.2.3 Calculate the Weight Vector
- 2.2.4 Hierarchical Order and Consistency Check
- 2.2.5 Hierarchical Total Order and Consistency Check
- 3 Suggestions and Measures
- 3.1 About Teachers
- 3.2 About Students
- 3.3 About Teaching Environment
- 3.4 About Teaching Management
- 4 Conclusion
- References
- High-Dimensional Data Clustering Algorithm Based on Stacked-Random Projection
- Abstract
- 1 Introduction
- 2 Methods
- 2.1 Random Projection
- 2.2 Spectral Clustering and CFDP
- 3 Stacked-Random Projection
- 3.1 Introduction to Stacked-Random Projection
- 3.2 Dimensionality Reduction Evaluation Index
- 4 Experimental Results and Analysis
- 5 Conclusions
- Adaptive Monitoring in Multiservice Systems
- 1 Introduction
- 2 State of Art
- 3 Complexity of System
- 3.1 Processes, Services, Activities and Events
- 4 Process Discovery
- 4.1 Terminology
- 4.2 Events Gathering and Distributing
- 4.3 Data Preprocessing and Cleaning
- 4.4 The Model
- 5 Realisation
- 5.1 Architecture
- 5.2 Use of Model and Predictions
- 5.3 Visualisation
- 6 Summary
- References
- Towards Faster Matching Algorithm Using Ternary Tree in the Area of Genome Mapping
- 1 Motivation
- 2 Data Preprocessing
- 3 Data Structures
- 4 Ternary Search Tree Improvements
- 5 Experiments and Achieved Results
- 6 Conclusion
- References
- Preprocessing COVID-19 Radiographic Images by Evolutionary Column Subset Selection
- 1 Introduction
- 2 Column Subset Selection
- 3 Radiographic Image Analysis
- 3.1 COVID-19 and Medical Imaging
- 4 Differential Evolution for CSS
- 5 Experiments
- 6 Conclusions
- References
- Transmission Scheduling for Tandemly-Connected Sensor Networks with Heterogeneous Packet Generation Rates
- 1 Introduction
- 2 Proposed Method
- 2.1 System Model
- 2.2 Static Slot Allocation for Redundant Transmission Scheduling
- 3 Simulation
- 3.1 Simulation Settings
- 3.2 Simulation Results
- 4 Concluding Remarks
- References
- Smart Watering System Based on Framework of Low-Bandwidth Distributed Applications (LBDA) in Cloud Computing
- 1 Introduction
- 2 Materials and Methods
- 2.1 Materials
- 2.2 Methods
- 3 Results and Discussion
- 3.1 Data Visualization
- 3.2 Results Prediction
- 3.3 Discussion
- 4 Conclusions and Future Work
- References
- P4-Based Implementation and Evaluation of Adaptive Early Packet Discarding Scheme
- 1 Introduction
- 2 Adaptive Early Packet Discarding Scheme (MTQ/QTL)
- 3 P4-Based Implementation of MTQ/QTL Scheme
- 4 Emulation-Based Evaluation
- 4.1 Evaluation Settings
- 4.2 Results Without MTQ/QTL
- 4.3 Results with MTQ and/or QTL
- 5 Concluding Remarks
- References
- Matching Based Content Discovery Method on Geo-Centric Information Platform
- 1 Introduction
- 2 Related Work
- 3 STC Management on the GCIP
- 3.1 Step1: IoT Data Collection
- 3.2 Step2: STC Production
- 3.3 Step3: STC Discovery
- 4 Proposed Method
- 5 Evaluation for STC Discovery
- 5.1 Simulation Environment
- 5.2 Comparative Methods and Performance Measures
- 5.3 Simulation Results
- 6 Conclusion
- References
- SDN-Based In-network Early QoE Prediction for Stable Route Selection on Multi-path Network
- 1 Introduction
- 2 Related Work
- 3 QoE Calculation Model
- 3.1 QoE Calculation for Video Streaming Services
- 3.2 QoE Calculation for File Transfer
- 4 SDN-Based Early QoE Prediction and Route Selection
- 4.1 Early QoE Prediction at the Flow Arrival Timing
- 4.2 Route Selection Based on the Predicted QoE
- 5 Experimental Evaluation
- 5.1 Comparative Method
- 5.2 Experimental Settings
- 5.3 Evaluation of the Early QoE Prediction
- 6 Conclusion
- References
- Reliable Network Design Considering Cost to Decrease Failure Probability of Simultaneous Failure
- 1 Introduction
- 2 Related Research
- 3 Reliable Network Design Problem Considering Cost to Decrease Failure Probability of Simultaneous Failure Set
- 4 Performance Evaluation
- 5 Conclusion
- References
- Beacon-Less Autonomous Transmission Control Method for Spatio-Temporal Data Retention
- 1 Introduction
- 2 Related Works
- 3 STD Retention System
- 3.1 Assumption
- 3.2 System Requirements
- 3.3 Previous Method
- 3.4 Problems of the Previous Method
- 4 Proposed Method
- 4.1 Introduction of Transmission Zones
- 4.2 Decision of Transmission Timing in the Transmission Zone
- 4.3 Time Division Scheduling Among Transmission Zones
- 4.4 Transmission Control Based on the Received Signal Strength
- 5 Simulation Results
- 5.1 Simulation Model
- 5.2 Performance Evaluation
- 6 Conclusions
- References
- Author Index
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