3.8 Article

A Secure Energy-Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs

Journal

Publisher

IGI GLOBAL
DOI: 10.4018/IJSIR.287549

Keywords

Coordination; EAAS; Game Theory; SEGaT

Ask authors/readers for more resources

A novel secure energy-aware game theory (SEGaT) method has been proposed for better coordination in wireless sensor actor networks. The method selects a number of actors and their approach, best team of sensors for each actor, and a reliable node within that team to achieve efficient energy usage and high packet delivery ratio.
A novel secure energy-aware game theory (SEGaT) method has proposed to have better coordination in wireless sensor actor networks. An actor has a cluster of sensor nodes which is required to perform different action based on the need that emerge in the network individually or sometimes with coordination from other actors. The method has different stages for the fulfilment of these actions. Based on energy-aware actor selection (EAAS), selection of a number of actors and their approach is the initial step followed by the selection of best team of sensors with each actor to carry out the action, and lastly the selection of reliable node within that team to finally nail the action into place in the network for its smooth working and minimum compromise in the energy. The simulations are done in MATLAB, and the result of the energy and the packet delivery ratio are compared with game theory (GaT) and real-time energy constraint (RTEC) method. The proposed protocol performs better in terms of energy consumption and packet delivery ratio as compared to its competitive protocols.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Multidisciplinary

Implementation of python data in online translation crawler website design

Huili Li, Mohammad Shabaz, Ricardo Castillejo-Melgarejo

Summary: This paper presents a machine online translation system based on deep neural network method, which improves the quality and efficiency of translation through attention mechanism and neural network models.

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2023)

Article Engineering, Multidisciplinary

Research on optimization of scientific research performance management based on BP neural network

Limin Chen, Vishal Jagota, Ajit Kumar

Summary: This study proposes a university social science research performance evaluation model based on BP neural network, which shows high efficiency, strong operability, and high accuracy. The BP neural network model performs well in evaluating and optimizing the performance of social science research in colleges and universities.

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2023)

Article Engineering, Multidisciplinary

A comprehensive approach of hydrological issues related to ground water using GIS in the Hindu holy city of Gaya, India

Tarun Kumar Lohani, Melkamu Teshome Ayana, Abdella Kemal Mohammed, Mohammad Shabaz, Gaurav Dhiman, Vishal Jagota

Summary: Gaya, the holy city of Hindus, Buddhists and Jains, is experiencing a severe shortage of potable water. Despite the presence of water bodies, they are unable to meet the needs of the population. The illegal pumping of groundwater has worsened the situation and caused socio-economic issues.

WORLD JOURNAL OF ENGINEERING (2023)

Article Materials Science, Multidisciplinary

A retrospection of the effect of nitriding processes on the AISI H13 tool steel

Asaf Hanief Kohli, M. Hanief, Vishal Jagota

Summary: This article explores the impact of surface hardening techniques on the mechanical and tribological properties of modified AISI H13 hot-work die steel at elevated temperature. The study finds that the combination of nitriding methods and austenitizing and tempering temperature greatly influences the material properties. Low nitriding temperature leads to corrosion issues and affects hardness. It is recommended to perform austenitizing prior to plasma nitriding to enhance the steel's resistance to thermal fatigue cracking and sliding wear.

ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES (2023)

Article Computer Science, Artificial Intelligence

Generation of Voice Signal Tone Sandhi and Melody Based on Convolutional Neural Network

Wei Jiang, Mengqi Li, Mohammad Shabaz, Ashutosh Sharma, Mohd Anul Haq

Summary: A voice signal change detection method based on convolutional neural networks is proposed in this study. By changing tones in voice libraries and recording voices at different levels, a classifier with an average accuracy of over 97% is determined. The experimental results demonstrate that the detection algorithm is effective and has good generalization ability.

ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING (2023)

Article Engineering, Electrical & Electronic

Aspect-based sentiment analysis employing linguistics content over social media for Web of Things

Latika Jindal, Sumit Kumar, Chetna Kaushal, Manisha Bhende, Anuradha Thakare, Mohammad Shabaz

Summary: This study employs methods to uncover emotional configurations by using attention processes and dependency syntax trees to correlate traits with emotional expressions. Experimental results demonstrate that the proposed model outperforms many benchmark models in sentiment classification.

IET COMMUNICATIONS (2023)

Article Computer Science, Hardware & Architecture

A Deep Learning Network-on-Chip (NoC)-Based Switch-Router to Enhance Information Security in Resource-Constrained Devices

Ali M. Al Shahrani, Ali Rizwan, Abdullah Algarni, Khalid A. Alissa, Mohammad Shabaz, Bhupesh Kumar Singh, John Zaki

Summary: In a resource-constrained environment of the 21st century, the use of hardware-based reconfigurable systems such as Field Programmable Gate Array (FPGAs) is considered an effective way to enhance information security. The integration of multi-core systems using Network-on-Chip (NoC) has become popular to maximize router security. The findings of the research can be useful to enhance information security among lightweight devices and minimize network attacks.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS (2023)

Article Computer Science, Information Systems

Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method

Syed Muhammad Ali Naqvi, Mohammad Shabaz, Muhammad Attique Khan, Syeda Iqra Hassan

Summary: Adversarial attacks exploit vulnerabilities in models to generate seemingly harmless inputs that lead to incorrect outputs. This study proposes a method using the fast gradient sign technique to attack the model, achieving successful perturbations in at least one erroneous class in most photos of the test dataset.

JOURNAL OF GRID COMPUTING (2023)

Article Computer Science, Artificial Intelligence

Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches

Anubha Parashar, Apoorva Parashar, Weiping Ding, Mohammad Shabaz, Imad Rida

Summary: This paper conducts a literature review on the performance comparison of machine learning and deep learning approaches in gait recognition under different covariate conditions, with a focus on specific aspects of deep learning pipelines. The commonly used strategies and open problems in identification based on behavioral traits are highlighted, and future perspectives for researchers in this field are proposed. The paper aims to provide insights for researchers in making informed decisions on data preprocessing techniques in designing gait recognition systems.

PATTERN RECOGNITION LETTERS (2023)

Article Computer Science, Artificial Intelligence

Personal HealthCare of Things: A novel paradigm and futuristic approach

Surbhi Gupta, Mohammad Shabaz, Ankur Gupta, Abdullah Alqahtani, Shtwai Alsubai, Isaac Ofori

Summary: This study provides a comprehensive review and analysis of research on Internet of Medical Things (IoMT), focusing on its progress, research issues, trends, and future aspects. The study proposes Personal HealthCare of Things (PHoT) as a novel approach to bring personalization to healthcare systems and provide customized health services. Multiple studies were selected, classified, and compared to evaluate the need for enhancing PHoT systems. The study also discusses the proposed PHoT architecture and aims to address various research inquiries.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2023)

Article Engineering, Mechanical

Realization of optimization design of electromechanical integration PLC program system based on 3D model

Lili Zhang, Chuanbao Zhang, Peng Wang, Mohammad Shabaz, M. G. Skanda, C. Vijayalakshmi, Kakarla Hari Kishore

Summary: A three-dimensional simulation model was built to achieve the practical use of electromechanical program control by optimizing an automatic electromechanical control system based on PLC technology and using fuzzy control PID adjustment algorithm. The system has a higher control and management efficiency, which is 30% greater than that of the conventional system. The continuous operation efficiency enhancement of mechatronic manufacturing system can significantly lower investment costs and boost the financial gains of industrial organizations.

NONLINEAR ENGINEERING - MODELING AND APPLICATION (2023)

Article Computer Science, Artificial Intelligence

Energy efficient indoor localisation for narrowband internet of things

Ismail Keshta, Mukesh Soni, Mohammed Wasim Bhatt, Azeem Irshad, Ali Rizwan, Shakir Khan, Renato R. Maaliw, Arsalan Muhammad Soomar, Mohammad Shabaz

Summary: With the rapid development of technology, there is an increasing number of Narrow Band IoT devices being manufactured. However, the high interference and signal attenuation in edge NB-IoT devices make it challenging to ensure their service quality. In order to maximize the data rate fairness of these devices, a multi-dimensional indoor localization model is proposed, which considers transmission power, data scheduling, and time slot scheduling based on a network model that uses non-orthogonal multiple access via a relay. The proposed approach has shown improvements in energy efficiency, data rate proportional fairness, and spectrum efficiency through simulation.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2023)

Article Engineering, Mechanical

Research on optimization of crane fault predictive control system based on data mining

Xu Yanbin, Zhang Jianhua, Xiongwei Wang, Mohammad Shabaz, Mohd Wazih Ahmad, Samrat Ray

Summary: To ensure safe operation of lifting equipment, this study provides an optimization research on a data mining-based crane failure predictive control system. The system utilizes decision tree categorization to diagnose faults in lifting machinery, and performs a correlation study of hoisting machinery defect and failure using association rules. The results show that the safety protection device performs poorly in lifting machinery, and the main parts and electrical control system can detect problems with the safety protection device.

NONLINEAR ENGINEERING - MODELING AND APPLICATION (2023)

Article Automation & Control Systems

AI-driven behavior biometrics framework for robust human activity recognition in surveillance systems

Altaf Hussain, Samee Ullah Khan, Noman Khan, Mohammad Shabaz, Sung Wook Baik

Summary: The integration of artificial intelligence (AI) into human activity recognition (HAR) in smart surveillance systems has the potential to revolutionize behavior monitoring, improving security and surveillance measures. A proposed AI-based behavior biometrics framework is introduced, utilizing a dynamic attention fusion unit (DAFU) and temporal-spatial fusion (TSF) network to effectively recognize human activity in surveillance systems.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2024)

Retraction Engineering, Electrical & Electronic

撤稿声明: Statement of Retraction: Graph based CNN Algorithm to Detect Spammer Activity Over Social Media

Aditya Tandon, Shouvik Kumar Guha, Junaid Rashid, Jungeun Kim, Mamta Gahlan, Mohammad Shabaz, Nasreen Anjum

IETE JOURNAL OF RESEARCH (2023)

No Data Available