A NOVEL ALGORITHM FOR REDUCING ENERGY CONSUMPTION IN WSN AND RFID INTEGRATED NETWORKS
Journal Title: Engineering and Technology Journal - Year 2022, Vol 7, Issue 11
Abstract
Wireless sensor networks (WSN) and radio frequency identification (RFID) are base technologies employed in decentralized dynamic environments. In the hybrid network that is induced by integrating RFID and WSN, RFID data can be used by applying WSN protocols for multi-hop communications. RFID data, however, includes a significant amount of duplicate information, which lengthens response time and consumes more energy, wasting a variety of resources. The hierarchical RFID-sensor topology, network RFID-sensor topology, reader-sensor nodes topology, and mixed topology are the four most commonly used RFID-WSN integration architectures. In this article, a novel plan for a WSN–RFID integrated network was proposed. The entire network is divided into clusters, and the Huffman algorithm is used to reduce energy consumption in sending information to the base station. Further, we propose two algorithms to overcome the redundancy of the data on the hybrid network. Our simulation findings demonstrate that the studied method decreases redundant data, energy consumption, and processing duration in comparison with existing methods.
Authors and Affiliations
Mahia Samani Ahmad Khademzadeh Kambiz Badie
Identification of Operator Selection Factors from the Perspective of Indonesian Sea Transportation Users
This study seeks to evaluate the key factors influencing the selection of sea transportation operators from the perspective of freight forwarders in Indonesia. Employing the Analytic Hierarchy Process (AHP), a Multi-Crit...
X-Ray Image Detection Algorithm for Prohibited Items Based on Feature Enhancement and Loss Optimization
To address the issue of low detection accuracy of prohibited items in X-ray security images caused by varying orientations, different scales, and the intertwining of targets with backgrounds, we propose a novel X-ray ima...
High-Speed Railway Project of a Chinese State-Owned Enterprise in Indonesia: A Cross-Cultural Management Assessment
This study examined cross-cultural management in a diverse organization. Employees (varying in age, sex, background, etc.) disagreed on the company's cultural competence, particularly in communication, trust, and leaders...
Carbon Capture, Utilization, and Storage (CCUS) Hybrid CO₂ Sequestration and Enhanced Oil Recovery: A Sustainable Approach Assessment of CO₂ injection strategies that maximize hydrocarbon recovery while ensuring long-term geological storage stability.
Carbon Capture, Utilization, and Storage (CCUS) technologies are pivotal in mitigating climate change by reducing CO₂ emissions from industrial sources. Among the most promising CCUS approaches is the integration of CO₂...
CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias
In human decision-making tasks, individuals learn through trials and prediction errors. When individuals learn the task, some are more influenced by good outcomes, while others weigh bad outcomes more heavily. Such confi...