ACM Transactions on Sensor Networks - Impact Factor

ACM Transactions on Sensor Networks | 2024 Impact Factor:3.9 | Cite Score:7.3 | Q1

ACM Transactions on Sensor Networks Journal

Impact Factor and Journal Rank of ACM Transactions on Sensor Networks

About: ACM Transactions on Sensor Networks is a peer-reviewed journal published by the Association for Computing Machinery (ACM). It focuses on research in the field of sensor networks, covering both theoretical and practical aspects. The journal provides a platform for researchers, engineers, and practitioners to publish original research articles, surveys, and case studies that advance the understanding and application of sensor networks.
Objective: The primary objective of ACM Transactions on Sensor Networks is to promote research and innovation in the design, implementation, and analysis of sensor networks. The journal aims to explore novel algorithms, protocols, system architectures, and applications that address the challenges and opportunities in the deployment of sensor networks. By publishing high-quality research, the journal contributes to the advancement of sensor network technologies and their impact on various domains.
Interdisciplinary Focus: ACM Transactions on Sensor Networks adopts an interdisciplinary approach, welcoming contributions from various fields related to sensor networks, including but not limited to: Wireless Communications Distributed Systems Network Security Embedded Systems Environmental Monitoring Health Care Smart Grids Internet of Things (IoT) Robotics Data Analytics This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced sensor network technologies and solutions that address complex challenges in diverse areas.
Global Reach and Impact: With a broad international readership and authorship, ACM Transactions on Sensor Networks has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in sensor network technologies worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as smart cities, environmental monitoring, healthcare, and industrial automation.
High Standards and Rigorous Review: Maintaining high academic standards, ACM Transactions on Sensor Networks conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: ACM Transactions on Sensor Networks plays a significant role in advancing research and practice in sensor networks. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in sensor network technologies. It serves as an essential resource for researchers, engineers, and practitioners seeking to leverage sensor networks to address challenges and opportunities in various fields such as environmental monitoring, healthcare, smart infrastructure, and beyond.

Journal Home: Journal Homepage

Editor-in-Chief: Wen Hu

Scope: The ACM Transactions on Sensor Networks (TOSN) is a premier peer-reviewed journal that focuses on the design, implementation, and management of sensor networks. The journal serves as a platform for researchers, practitioners, and professionals to present their latest research findings, theoretical developments, and practical applications in the field of sensor networks. Here is an overview of its key focus areas and scope:
1. Network Architecture and Protocols:
Research on the design and analysis of network architectures, communication protocols, and algorithms for sensor networks.
Studies on routing, data dissemination, and network topology management for efficient and reliable sensor network operation.
2. Energy Management and Power Efficiency:
Advancements in techniques and strategies for energy-efficient operation of sensor networks.
Research on power management, energy harvesting, and battery management to extend the lifetime of sensor networks.
3. Sensor Design and Implementation:
Topics covering the design, fabrication, and deployment of sensor nodes and sensor systems.
Research on sensor calibration, sensor fusion, and novel sensing technologies.
4. Data Management and Analytics:
Advancements in data collection, storage, processing, and analysis techniques for sensor networks.
Research on data aggregation, compression, query processing, and machine learning techniques for sensor data analytics.
5. Security and Privacy:
Topics covering security challenges, threat models, and solutions in sensor networks.
Research on encryption, authentication, secure communication protocols, and privacy-preserving techniques.
6. Applications of Sensor Networks:
Advancements in the application of sensor networks across various domains, including environmental monitoring, healthcare, smart cities, agriculture, and industrial automation.
Case studies and real-world deployments of sensor networks demonstrating their impact and effectiveness.
7. Mobility and Localization:
Research on techniques for node localization, tracking, and mobility management in sensor networks.
Studies on mobile sensor networks, robotic sensor networks, and algorithms for accurate positioning and tracking.
8. Middleware and Operating Systems:
Advancements in middleware platforms, operating systems, and software frameworks designed for sensor networks.
Research on system architectures, programming models, and software tools for the development and deployment of sensor network applications.
9. Performance Evaluation and Optimization:
Topics covering the evaluation, optimization, and benchmarking of sensor network performance.
Research on simulation models, experimental testbeds, and performance metrics for assessing the effectiveness of sensor network solutions.