Article
Computer Science, Information Systems
Aishwariya Chakraborty, Sudip Misra, Ayan Mondal
Summary: This article focuses on the problem of QoS-aware cost management in sensor-cloud. The authors propose a dynamic cost management scheme called QUEST, which analyzes the interactions between sensor-owners and SCSPs to determine optimal strategies. Simulation results show that using QUEST reduces end-user prices and increases sensor-owner revenue.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Sourabh Bharti, K. K. Pattanaik, Paolo Bellavista
Summary: An energy-aware value of information based sensor service ranking mechanism is proposed in this paper, which is capable of maintaining a balance between application specific quality of service requirements and overall network energy consumption, and shows an impressive 13% improvement in network lifetime.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Computer Science, Information Systems
Patrali Pradhan, Chandana Roy, Sudip Misra
Summary: In this paper, a QoS-aware pricing scheme called Q-Safe is proposed to provide safety-related decisions to end-users. The scheme considers multiple Safety Service Providers (SSPs) and allows end-users to select SSPs based on their prices. A dynamic pricing scheme is introduced to address the issues, where the prices of decision parameters vary with time. The proposed scheme improves the average profit of SSPs compared to existing models.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Aishwariya Chakraborty, Sudip Misra, Jhareswar Maiti
Summary: This work addresses the problem of controller orchestration in IoT-based Service-Oriented Architecture and proposes a scheme called COMET based on coalitional game and social choice theory to solve the problem of multi-tier controller placement. Simulations demonstrate the effectiveness of COMET.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Business
Manisha Rathee, Sushil Kumar, Amir H. Gandomi, Kumar Dilip, Balamurugan Balusamy, Rizwan Patan
Summary: This article proposed an ant colony optimization-based QoS-aware energy balancing secure routing algorithm for WSNs, which uses improved heuristics to calculate transmission delay and node trust factor. Compared to two existing algorithms, the proposed QEBSR algorithm performed better.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Pengfei Ning, Hongwei Wang, Tao Tang, Li Zhu, Xi Wang
Summary: In this paper, a wireless communication architecture is proposed for tunnel construction to carry multiple services including video, voice, and sensor data. The proposed scheme achieves resource allocation and power control to minimize energy consumption and optimize transmission performance. Through simulation experiments, it is demonstrated that the scheme outperforms in various user equipment scenarios and prioritizes VoIP and sensor services in limited bandwidth, thereby improving information sharing efficiency for tunnel construction.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Telecommunications
Dinesh Rajavel, Aishwariya Chakraborty, Sudip Misra
Summary: This study addresses the efficient virtual sensor formation in sensor-cloud for green IoT services, focusing on minimizing energy consumption and maximizing revenue using a game-theoretic model and the GS2 hybrid algorithm, which results in significant reduction in energy consumption and increased revenue for service providers and sensor owners.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Hardware & Architecture
Ehsan Saeedizade, Mehrdad Ashtiani
Summary: This study proposes a Dynamic, Deadline and Budget-aware, Workflow Scheduling algorithm called DDBWS specifically designed for WaaS environments. By solving a multi-resource packing problem, DDBWS schedules workflows considering both CPU and memory demands for tasks simultaneously, showing promising performance results in experiments.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Computer Science, Information Systems
Chenkai Guo, Weijie Zhang, Naipeng Dong, Zheli Liu, Yang Xiang
Summary: In this work, a novel diversity-aware graph-based QoS prediction model-DSSN is proposed to address the problem of selection redundancy in QoS-aware service selection. Techniques like high-order message propagation and multi-task structure are integrated to enhance the model performance, and a service distance based attention mechanism is designed to enhance service diversity. The evaluation experiments demonstrate that DSSN outperforms existing diversity-aware models in terms of accuracy and diversity, making it more suitable for diversity-aware service selection.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Automation & Control Systems
Fjolla Ademaj, Hans-Peter Bernhard
Summary: This article introduces a QoS routing protocol that balances power consumption between wireless sensor and actuator nodes, achieves defined latency by implementing a time-division multiple access scheme, and improves energy efficiency by avoiding collisions.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Sugyan Kumar Mishra, Anirban Sarkar
Summary: This article presents an ontological framework for the IoT service-based environment to efficiently use service composition mechanisms in the large service domain. The proposed framework supports interoperability, heterogeneity, flexibility, manageability, extendibility, and scalability.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Telecommunications
Rohit Kumar, U. Venkanna, Vivek Tiwari
Summary: This study proposes a QoS-aware optimized TE approach for SDWS-IoT network called QuOTE, which offers significant efficiency improvements in PDR, PLR, AD, and AJ metrics compared to other approaches, achieving successful flow management through comparison.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Wuhui Chen, Yuichi Yaguchi, Keitaro Naruse, Yutaka Watanobe, Keita Nakamura
Summary: This study proposes a QoS-aware RSW allocation algorithm for NCR that jointly optimizes latency, energy efficiency, and cost while considering the characteristics of RSW and NCR. By constructing a data flow graph and transforming the problem into a linear programming problem, a heuristic algorithm is used to obtain a near-optimal solution in a reasonable time. Experimental comparisons demonstrate significant performance improvements with enhanced QoS and reduced execution times.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Ke Zhang, Guang Zhang, Xiuwu Yu, Shaohua Hu, Moxiao Li
Summary: This paper proposes a cluster routing protocol based on energy-aware affinity propagation (CAP), which improves the energy efficiency and prolongs the network lifetime of wireless sensor networks (WSNs). The CAP protocol enhances network performance through an energy-aware affinity propagation clustering algorithm, inter-cluster relay selection method, and energy threshold re-cluster scheme.
Article
Computer Science, Information Systems
Liang Zhong, Ming-Feng Ge, Shizhong Zhang, Yong Liu
Summary: This article proposes a three-layer framework based on joint rate-aware fuzzy clustering and stable sensor association to improve the resource utilization and energy efficiency of wireless sensor networks (WSNs). The framework includes methods for initial clustering, energy-aware cluster head selection, optimal sensor association, and load balancing. Simulation results show the effectiveness of the proposed algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Wenjia Niu, Endong Tong, Qian Li, Gang Li, Xuemin Wen, Jianlong Tan, Li Guo
KNOWLEDGE AND INFORMATION SYSTEMS
(2016)
Article
Computer Science, Information Systems
Bo Zhang, Endong Tong, Jie Hao, Wenjia Niu, Gang Li
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
(2016)
Article
Computer Science, Information Systems
Xinyu Huang, Yunzhe Tian, Yifei He, Endong Tong, Wenjia Niu, Chenyang Li, Jiqiang Liu, Liang Chang
SECURITY AND COMMUNICATION NETWORKS
(2020)
Article
Computer Science, Information Systems
Yike Li, Yingxiao Xiang, Endong Tong, Wenjia Niu, Bowei Jia, Long Li, Jiqiang Liu, Zhen Han
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2020)
Article
Computer Science, Artificial Intelligence
Chen Tong, Liu Jiqiang, Xiang Yingxiao, Niu Wenjia, Tong Endong, Wang Shuoru, Li He, Chang Liang, Li Gang, Chen Qi Alfred
Summary: Pathfinding is crucial in real-world scenarios and undergoing a revolution in efficient parallel learning with the development of reinforcement learning. This study is the first to explore adversarial attacks on A3C, achieving a high success rate and discussing defense strategies.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Yingdi Wang, Yunzhe Tian, Jiqiang Liu, Wenjia Niu, Endong Tong
Summary: With the rapid development of AI, the issue of AI security has emerged, as adversarial examples may attack machine learning algorithms and pose potential threats to AI applications. This paper explores a training-based method to automatically identify adversarial examples in Value Iteration Networks (VIN), achieving high accuracy and effectiveness.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2021)
Article
Computer Science, Information Systems
Yunzhe Tian, Jiqiang Liu, Endong Tong, Wenjia Niu, Liang Chang, Qi Alfred Chen, Gang Li, Wei Wang
Summary: This paper introduces a parallel adversarial attack framework on node classification, redesigning loss and objective functions and integrating node filtering methods to achieve parallel adversarial attacks. Experimental results on the Polblogs dataset demonstrate the effectiveness of the proposed approach.
SECURITY AND COMMUNICATION NETWORKS
(2021)
Review
Computer Science, Information Systems
Tong Chen, Jiqiang Liu, Yalun Wu, Yunzhe Tian, Endong Tong, Wenjia Niu, Yike Li, Yingxiao Xiang, Wei Wang
Summary: With the rise of the Internet, user comments have had a significant impact on information acquisition and e-commerce, as well as attracting researchers' interest. Astroturfing, as a form of online suspicious behavior, can lead to abnormal and damaging actions in cyberspace, prompting an urgent need for detection and prevention measures.
SECURITY AND COMMUNICATION NETWORKS
(2021)
Article
Computer Science, Information Systems
Yingxiao Xiang, Wenjia Niu, Endong Tong, Yike Li, Bowei Jia, Yalun Wu, Jiqiang Liu, Liang Chang, Gang Li
Summary: This paper proposes a congestion attack detection approach by combining empirical prediction and analytical verification, which successfully predicts and verifies congestion attacks by collecting traffic images and defining traffic flow features, achieving timely and accurate congestion attack detection.
SECURITY AND COMMUNICATION NETWORKS
(2021)
Article
Computer Science, Information Systems
Xingyu Wu, Ziyan Qiao, Xingjuan Cai, Qian Wang, Zhiqiang Xie, Rui Sun, Dong Zi, Wenjia Niu, Endong Tong
Summary: This paper proposes a context-based reverse engineering approach to uncover deep hidden commands in blockchain-powered mobile automotive APPs, aiming to reveal the threat of command leakage. The effectiveness of the approach is validated through extensive experiments and case studies.
SECURITY AND COMMUNICATION NETWORKS
(2022)
Article
Computer Science, Information Systems
Endong Tong, Wenjia Niu, Jiqiang Liu
Summary: QoS guarantee is crucial in building service-oriented applications. Previous CF methods neglected temporal factors and resulted in decreased prediction accuracy due to outdated QoS values. To address this, our time-aware collaborative filtering approach combines historical QoS and CF technology to predict missing QoS with improved accuracy.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Telecommunications
Yike Li, Wenjia Niu, Yunzhe Tian, Tong Chen, Zhiqiang Xie, Yalun Wu, Yingxiao Xiang, Endong Tong, Thar Baker, Jiqiang Liu
Summary: Efficient signal planning is crucial for reducing traffic congestion, fuel consumption, and exhaust emissions. This study focuses on the development of a connected vehicle-based traffic control system for multi-intersection networks. By utilizing multi-agent reinforcement learning, an actor-attention-critic algorithm is proposed to improve transportation and energy efficiency, as well as combat congestion attack. Experimental results demonstrate significant reductions in delay, CO2 emissions, and improved robustness under congestion attack.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Telecommunications
Endong Tong, Wenjia Niu, Yunzhe Tian, Jiqiang Liu, Thar Baker, Sandeep Verma, Zheli Liu
Summary: A hierarchical energy efficient service selection approach for resource-constrained IoT is proposed, which includes global constraints decomposition and selection of local QoS constraints to achieve an energy efficient service selection scheme based on dynamic network state. Experimental evaluations show the capability of the proposed approach.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
Xiaojin Wang, Yingxiao Xiang, Wenjia Niu, Endong Tong, Jiqiang Liu
2020 IEEE 26TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS)
(2020)
