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Yang Zhang - IEEE Xplore Author Profile

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Author details

Yang Zhang

Publications

3

Citations

45

Publications by Year

20172024

Co-Authors:

Yourong ChenWei ChenMeng HanHeji LiKelei Miao

Show All Co-Authors (11)

Yang Zhang

Affiliation

School of Computer and Software

Hangzhou Dianzi University

Hangzhou, China

Publication Topics

Authentication Protocol,
Identity Authentication,
Smart Contracts,
AdaBoost Classifier,
Adaptive Boosting,
Authentication Method,
Authentication Scheme,
Base Classifiers,
Bilinear Map,
Bilinear Pairing,
Binary Classification,
Blockchain Network

Biography

Yang Zhang received the B.S. degree in Internet of Things engineering from the Zhejiang Shuren University, Hangzhou, China, in 2020, and the M.S. degree in computer application technology from Changzhou University, Changzhou, China, in 2023. He is currently working toward the Ph.D. degree in computer science and technology with Hangzhou Dianzi University, Hangzhou, China.,His research interests include blockchain and network security.(Based on document published on 4 January 2024).

Publications

3

Citations

45

Publications by Year

20172024

Co-Authors:

Yourong Chen
Wei Chen
Meng Han
Heji Li
Kelei Miao

Show All Co-Authors (11)

Author's Published Works

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Showing 1-25 of 61 results

Conferences (52)

Journals (9)

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Rajiv Misra(59)
Ram Narayan Yadav(11)
Chittaranjan Mandal(8)
Ajay Pratap(7)
Sudhir Kumar(6)
Department of Computer Science and Engineering, Indian Institute of Technology, Patna, India(6)
School of Information Technology, Indian Institute of Technology, Kharagpur, India(6)
Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, Bihar, India(5)
Indian Institute of Technology, Patna, India(5)
Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India(4)
2024 IEEE International Conference on Big Data (BigData)(8)
2023 IEEE International Conference on Big Data (BigData)(3)
IEEE Transactions on Mobile Computing(3)
2014 Recent Advances in Engineering and Computational Sciences (RAECS)(2)
2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)(2)
IEEE(61)
Washington, DC, USA(8)
Bangalore, India(6)
New Delhi, India(3)
Sorrento, Italy(3)
Bengaluru, India(2)
Ad Hoc Networks(18)
Wireless Networks(18)
Sensor Networks(16)
Wireless Sensor Networks(15)
Cognitive Networks(11)

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Optimizing Air Pollution Forecasting Models Through Knowledge Distillation: A Novel GCN and TRANS_GRU Methodology for Indian Cities

Sudhir Kumar;Vaneet Kour;Ankit Raj;Tagru Tapung;Shivendu Mishra;Rajiv Misra;T. N. Singh

Year: 2025 | Volume: 13 | Journal Article |

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As air pollution remains a pressing issue affecting environmental and public health, precise forecasting and monitoring are essential. Machine learning and deep learning models are increasingly applied in air pollution studies, using their advanced capabilities to decode intricate pollutant data. A review of the existing literature on air quality forecasting reveals significant gaps: first, a lack...Show More

Optimizing Air Pollution Forecasting Models Through Knowledge Distillation: A Novel GCN and TRANS_GRU Methodology for Indian Cities

Sudhir Kumar;Vaneet Kour;Ankit Raj;Tagru Tapung;Shivendu Mishra;Rajiv Misra;T. N. Singh

Year: 2025 | Volume: 13 | Journal Article |

Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks

Anil Verma;Lalit Chandra Routhu;Rishikant Chigrupaatii;Anurag Choubey;Rajiv Misra;T.N. Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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Global climate change driven by carbon dioxide (CO2) emissions necessitates accurate forecasting for effective mitigation strategies. Traditional forecasting models, such as ARIMA and statistical methods, often struggle to handle the non-linear and long-term temporal dependencies in CO2 emission data. This paper evaluates the performance of advanced Recurrent Neural Network (RNN) architectures, sp...Show More

Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks

Anil Verma;Lalit Chandra Routhu;Rishikant Chigrupaatii;Anurag Choubey;Rajiv Misra;T.N. Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks

Shivani Tripathi;Praveen Kumar;Mailram Sai Chaitanya;Nagireddy Sai Tarun Teja;Rajiv Misra;T.N. Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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This research work introduces a new strategy to enhance computation offloading in wireless-powered Edge-Enabled Mobile Computing (EEMC) networks by utilizing Dueling Double Deep Q-Networks with Attention (Dueling DDQN-A). EEMC facilitates the offloading of computational tasks from mobile devices to local edge servers, leading to decreased latency and improved energy efficiency. However, the dynami...Show More

Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks

Shivani Tripathi;Praveen Kumar;Mailram Sai Chaitanya;Nagireddy Sai Tarun Teja;Rajiv Misra;T.N. Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach

Aswini Ghosh;Nelson Sharma;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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Rapid technical advancements in recent times have made it possible to produce a class of affordable unmanned aerial vehicles (UAVs), which can serve a wide range of public and private users for different industrial or non-industrial requirements. It is very complex to set up a communication network among the UAVs, which is very essential for completing any task like collecting data in extreme weat...Show More

Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach

Aswini Ghosh;Nelson Sharma;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Statistical Modeling of Air Pollutants for Predicting AQI Levels

Sudhir Kumar;Sourabh Mehra;Harsh Jha;Vaneet Kour;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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Air quality is a critical factor influencing public health, with pollutants such as particulate matter (PM10, PM2.5), ground-level ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), and nitrogen dioxide (NO2) posing significant health risks. Understanding the relationship between these pollutants is essential for effective air quality management. In this study, we apply a comprehensive range ...Show More

Statistical Modeling of Air Pollutants for Predicting AQI Levels

Sudhir Kumar;Sourabh Mehra;Harsh Jha;Vaneet Kour;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

A Novel Hybrid CNN-Transformer Framework for Spatiotemporal Prediction of O3

Sudhir Kumar;Vaneet Kour;Nimisha Jain;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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Air pollution presents serious threats to public health and environmental sustainability, especially when it comes to concentrations of ozone (O3). Even though they are accurate, traditional monitoring methods have spatial limitations that cause gaps in the coverage of data. In order to tackle this issue, we provide a hybrid deep learning model that predicts O3 levels in different parts of India b...Show More

A Novel Hybrid CNN-Transformer Framework for Spatiotemporal Prediction of O3

Sudhir Kumar;Vaneet Kour;Nimisha Jain;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network

Priyadarshni Priyadarshni;Praveen Kumar;Shivani Tripathi;Akshun Pratap Dubey;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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The rapid growth of mobile data and computing demands has strained resource-constrained edge devices, particularly in supporting IoT applications. Mobile Edge Computing (MEC) offloading alleviates these challenges by shifting complex tasks to edge-cloud servers, reducing computational burdens and enhancing efficiency. The integration of 5G and 6G technologies further enhances MEC by providing ultr...Show More

MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network

Priyadarshni Priyadarshni;Praveen Kumar;Shivani Tripathi;Akshun Pratap Dubey;Rajiv Misra

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers

Anil Verma;Sumit Kumar Singh;Rupesh Kumar Sah;Rajiv Misra;T. N. Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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Climate change and global warming demand immediate global action to protect future generations. Although deep learning is crucial for solving complex tasks, its high energy consumption and carbon emissions from extensive training processes necessitate improvements in efficiency to reduce its environmental impact. This research addresses the need for accurate carbon emission tracking to mitigate cl...Show More

Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers

Anil Verma;Sumit Kumar Singh;Rupesh Kumar Sah;Rajiv Misra;T. N. Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies

Vaneet Kour;Sudhir Kumar;Rajiv Misra;T.N Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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Accurate forecasting of critical pollutants such as NO2 and PM2.5 is essential in the ongoing battle against air pollution. This paper introduces ConvTrans, a novel hybrid architecture that integrates convolutional and Transformer technologies to enhance the precision of PM2.5 and NO2 predictions. Our evaluations demonstrate that ConvTrans improves PM2.5 prediction accuracy, increasing the R-squar...Show More

Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies

Vaneet Kour;Sudhir Kumar;Rajiv Misra;T.N Singh

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Scalable and Accurate Anomaly Detection in 5G Networks with ConvLSTM

Sudhir Kumar;Vaneet Kour;Rupesh Kumar Sah;Rajiv Misra

2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Year: 2024 | Conference Paper |

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With the ongoing rise in network security threats stemming from the Internet of Things (IoT), the attack surface broadens and network heterogeneity grows, rendering future network protection more complex and challenging. This paper suggests transforming 5G slice traffic into formats compatible with ConvLSTM model analysis to identify anomalous network traffic. By leveraging Software Defined Securi...Show More

Scalable and Accurate Anomaly Detection in 5G Networks with ConvLSTM

Sudhir Kumar;Vaneet Kour;Rupesh Kumar Sah;Rajiv Misra

2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Year: 2024 | Conference Paper |

Enhanced Forecasting Accuracy: Leveraging GRU+BiLSTM with Attention for Precise Floodwater Level Prediction

Sudhir Kumar;Vaneet Kour;Anil Verma;Rupesh Kumar Sah;Rajiv Misra

2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN)

Year: 2024 | Conference Paper |

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Floods, recognized as one of the most destructive natural disasters, inflict significant loss of life and extensive damage globally. In response to the escalating impact of floods, researchers have made significant advancements in floodwater level prediction accuracy using deep learning models. However, the existing studies in this domain do not incorporate prior forecasts with higher accuracy, pa...Show More

Enhanced Forecasting Accuracy: Leveraging GRU+BiLSTM with Attention for Precise Floodwater Level Prediction

Sudhir Kumar;Vaneet Kour;Anil Verma;Rupesh Kumar Sah;Rajiv Misra

2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN)

Year: 2024 | Conference Paper |

GAN-Based Multi-Task Learning Approach for Prognostics and Health Management of IIoT

Sourajit Behera;Rajiv Misra;Alberto Sillitti

IEEE Transactions on Automation Science and Engineering

Year: 2024 | Volume: 21, Issue: 3 | Journal Article |

Cited by: Papers (4)

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Health assessment (HA) & remaining useful life (RUL) estimation, the two essential pillars of the prognostics and health management (PHM) paradigm, help improve industrial equipment reliability while reducing maintenance costs. However, reported works treat HA and RUL estimation as disjoint problems though there exist unexploited similarities among these related issues. Additionally, in practical ...Show More

GAN-Based Multi-Task Learning Approach for Prognostics and Health Management of IIoT

Sourajit Behera;Rajiv Misra;Alberto Sillitti

IEEE Transactions on Automation Science and Engineering

Year: 2024 | Volume: 21, Issue: 3 | Journal Article |

Deep Meta Q-Learning Based Multi-Task Offloading in Edge-Cloud Systems

Nelson Sharma;Aswini Ghosh;Rajiv Misra;Sajal K. Das

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 4 | Journal Article |

Cited by: Papers (8)

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Resource-constrained edge devices can not efficiently handle the explosive growth of mobile data and the increasing computational demand of modern-day user applications. Task offloading allows the migration of complex tasks from user devices to the remote edge-cloud servers thereby reducing their computational burden and energy consumption while also improving the efficiency of task processing. Ho...Show More

Deep Meta Q-Learning Based Multi-Task Offloading in Edge-Cloud Systems

Nelson Sharma;Aswini Ghosh;Rajiv Misra;Sajal K. Das

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 4 | Journal Article |

Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM

Anil Verma;Harshit Dhankhar;Rajiv Misra;T.N. Singh;Om Prakash Dhakal

2023 IEEE International Conference on Big Data (BigData)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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Climate change and global warming are urgent environmental issues demanding immediate action to safeguard future generations. The major contributor to the greenhouse effect, carbon dioxide $\left(\mathrm{CO}_{2}\right)$, primarily originates from industrial and transportation fossil fuel combustion. International agreements, like the Paris Agreement, call for a 30-35% reduction in CO2 emissions co...Show More

Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM

Anil Verma;Harshit Dhankhar;Rajiv Misra;T.N. Singh;Om Prakash Dhakal

2023 IEEE International Conference on Big Data (BigData)

Year: 2023 | Conference Paper |

Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing

Praveen Kumar;Priyadarshni;Shivani Tripathi;Rajiv Misra

2023 IEEE International Conference on Big Data (BigData)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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UAVs have the potential to enhance wireless systems by improving range and quality, and this can be achieved by utilising the Mobile Edge Computing provided by the unmanned aerial vehicle. In this system, the MEC server mounted on the unmanned aerial vehicle can offer offload services to all the User Equipment in a given space. By offloading some proportion of its tasks to unmanned aerial vehicle ...Show More

Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing

Praveen Kumar;Priyadarshni;Shivani Tripathi;Rajiv Misra

2023 IEEE International Conference on Big Data (BigData)

Year: 2023 | Conference Paper |

Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing

Shivani Tripathi;Praveen Kumar;Priyadarshni Gupta;Rajiv Misra;T.N. Singh

2023 IEEE International Conference on Big Data (BigData)

Year: 2023 | Conference Paper |

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Datacenter carbon emissions are rising, which poses a serious issue that must be addressed quickly. We may see differences in emissions when we look at the carbon intensity of the electrical system since various areas have different energy sources. We can time the execution of workloads to occur during periods when the carbon intensity is lower by using this temporal variability. This paper aims t...Show More

Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing

Shivani Tripathi;Praveen Kumar;Priyadarshni Gupta;Rajiv Misra;T.N. Singh

2023 IEEE International Conference on Big Data (BigData)

Year: 2023 | Conference Paper |

Energy-Efficient k-Hop Clustering in Cognitive Radio Sensor Network for Internet of Things

Rajendra Prajapat;Ram Narayan Yadav;Rajiv Misra

IEEE Internet of Things Journal

Year: 2021 | Volume: 8, Issue: 17 | Journal Article |

Cited by: Papers (30)

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The design and development of energy and spectrum-efficient solutions are important in the success of the Internet of Things (IoT). Due to the presence of an enormous number of smart devices, such as sensors, actuators, and different household devices achieving such scalable and efficient solutions are challenging. A wireless sensor network (WSN) with dynamic spectrum access (DSA) capability, know...Show More

Energy-Efficient k-Hop Clustering in Cognitive Radio Sensor Network for Internet of Things

Rajendra Prajapat;Ram Narayan Yadav;Rajiv Misra

IEEE Internet of Things Journal

Year: 2021 | Volume: 8, Issue: 17 | Journal Article |

Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks

Ajay Pratap;Rajiv Misra;Sajal K. Das

IEEE Transactions on Mobile Computing

Year: 2021 | Volume: 20, Issue: 2 | Journal Article |

Cited by: Papers (18)

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In this article, we first formulate the joint resource allocation, interference minimization, user-level, and cell-level fairness for maximum resource reuse in 5G heterogeneous small cell networks as an NP-hard problem. We then propose three algorithms - centralized, distributed, and randomized distributed algorithms - to efficiently solve the formulated resource allocation problem while minimizin...Show More

Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks

Ajay Pratap;Rajiv Misra;Sajal K. Das

IEEE Transactions on Mobile Computing

Year: 2021 | Volume: 20, Issue: 2 | Journal Article |

Deep Learning Based Resource Allocation For Auto-Scaling VNFs

Yashwant Singh Patel;Deepak Verma;Rajiv Misra

2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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With the advancement in Software-Defined Networking (SDN), the virtualization of network functions (VNFs) (such as virtual firewalls, virtual routers, etc.) in the cloud often becomes complex to scale VNFs and to deal with reroute traffic demands to cope with the increasing dynamicity of network services. Therefore, the auto-scaling of VNFs has been receiving significant research attention. In con...Show More

Deep Learning Based Resource Allocation For Auto-Scaling VNFs

Yashwant Singh Patel;Deepak Verma;Rajiv Misra

2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

Year: 2019 | Conference Paper |

Machine Learning-based Slice allocation Algorithms in 5G Networks

Rohit Kumar Gupta;Rajiv Misra

2019 International Conference on Advances in Computing, Communication and Control (ICAC3)

Year: 2019 | Conference Paper |

Cited by: Papers (18)

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One of the primary aims for 5G networks is the flexibility to support vertical services as the primary requirement. The use cases of 5G networks are AR/VR, eHealth, Video Streaming, automation works, automated vehicles, etc. All use cases are associated with its requirements like availability, reliability, latency, and throughput in terms of Quality of Services (QoS) and Quality of Experience (QoE...Show More

Machine Learning-based Slice allocation Algorithms in 5G Networks

Rohit Kumar Gupta;Rajiv Misra

2019 International Conference on Advances in Computing, Communication and Control (ICAC3)

Year: 2019 | Conference Paper |

Truthful Double Auction Based VM Allocation for Revenue-Energy Trade-Off in Cloud Data Centers

Yashwant Singh Patel;Animesh Nighojkar;Rajiv Misra

2019 National Conference on Communications (NCC)

Year: 2019 | Conference Paper |

Cited by: Papers (5)

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With the advances in virtualization technologies, cloud has emerged as a flexible and cost-effective service paradigm by provisioning on-demand VM resources to users via a pay-per-use business model. In cloud data centers, effective resource provisioning is required with the aim of minimizing energy consumption and maximizing cloud provider's revenue. However, the existing mechanisms have either f...Show More

Truthful Double Auction Based VM Allocation for Revenue-Energy Trade-Off in Cloud Data Centers

Yashwant Singh Patel;Animesh Nighojkar;Rajiv Misra

2019 National Conference on Communications (NCC)

Year: 2019 | Conference Paper |

Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks

Rishabh Singhal;Ajay Pratap;Rajiv Misra;Sajal K. Das

2019 11th International Conference on Communication Systems & Networks (COMSNETS)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

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Next generation 5G cellular networks are intended to provide higher data rates, excellent user coverage, low latency, and low power consumption. Since 5G is expected to have a multitier architecture consisting of macro cells, small cells and Device-to-Device communication altogether but the reported works so far have considered either one of these but not all in resource allocation (RA) in heterog...Show More

Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks

Rishabh Singhal;Ajay Pratap;Rajiv Misra;Sajal K. Das

2019 11th International Conference on Communication Systems & Networks (COMSNETS)

Year: 2019 | Conference Paper |

EnergyTradingRank Algorithm for Truthful Auctions among EVs via Blockchain Analytics of Large Scale Transaction Graphs

Anurag Choubey;Sourajit Behera;Yashwant Singh Patel;Karanam Mahidhar;Rajiv Misra

2019 11th International Conference on Communication Systems & Networks (COMSNETS)

Year: 2019 | Conference Paper |

Cited by: Papers (7)

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In a decentralized vehicle-to-vehicle (V2V) energy trading among electric vehicles (EVs), there is a need of a highly secure and privacy protected transaction environment. With the advent of digital currencies like Bitcoin, most of the blockchain applications incorporate a similar cryptocurrency system for secure processing. In this work, we propose a permissioned blockchain based energy trading a...Show More

EnergyTradingRank Algorithm for Truthful Auctions among EVs via Blockchain Analytics of Large Scale Transaction Graphs

Anurag Choubey;Sourajit Behera;Yashwant Singh Patel;Karanam Mahidhar;Rajiv Misra

2019 11th International Conference on Communication Systems & Networks (COMSNETS)

Year: 2019 | Conference Paper |

Approximating Common Control Channel Problem in Cognitive Radio Networks

Ram Narayan Yadav;Rajiv Misra

IEEE Systems Journal

Year: 2019 | Volume: 13, Issue: 1 | Journal Article |

Cited by: Papers (8)

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Cognitive radio networks (CRNs) involve an extensive exchange of control messages to coordinate spectrum sensing, medium access, routing, etc. Static control channel allocation uses preassigned common control channel (CCC) contrary to the opportunistic access paradigm. We propose a k-hop clustering scheme for the optimal CCC assignment problem (k-CCCP) for CRNs. We prove that the k-CCCP problem is...Show More

Approximating Common Control Channel Problem in Cognitive Radio Networks

Ram Narayan Yadav;Rajiv Misra

IEEE Systems Journal

Year: 2019 | Volume: 13, Issue: 1 | Journal Article |

Minimum Interference Topology Control in Cognitive Radio Networks through Channel Assignment

Abhinav Ralhan;Ram Narayan Yadav;Rajiv Misra

2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year: 2018 | Conference Paper |

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Connectivity is a fundamental problem in wireless network. Connection between any two random nodes in a cognitive radio ad hoc network cannot be determined by their distance and transmission powers only. It also depends on the whether they have common available channel to open for communication. Due to primary users' (PUs') activities, the nature of available spectrum is non-homogeneous and dynami...Show More

Minimum Interference Topology Control in Cognitive Radio Networks through Channel Assignment

Abhinav Ralhan;Ram Narayan Yadav;Rajiv Misra

2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year: 2018 | Conference Paper |

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