Aims & Scope

Sensor Networks and Cloud Computing (SNCC) is a peer-reviewed, international, open-access journal dedicated to publishing high-impact research on the integration, design, and advancement of sensor-based systems and cloud computing technologies. The journal aims to bridge theoretical innovation and applied implementation by offering a platform for interdisciplinary research that addresses modern computational, infrastructural, and networking challenges. SNCC encourages submissions that focus on building scalable, intelligent, and energy-efficient systems through sensor-cloud integration, enabling real-time data acquisition, remote monitoring, and intelligent decision-making. The journal supports collaborative research that explores innovative architectures, protocols, and applications relevant to IoT, distributed systems, and edge-cloud synergy. SNCC provides an essential resource for researchers, system architects, engineers, and practitioners seeking to harness the potential of cloud-enabled sensor networks for smart environments and industry transformation. Submissions should emphasize practical implementations, robust experimentation, and measurable impact in real-world contexts.

Core Topics Include:

Publication Frequency

SNCC publishes issues on a bi-monthly basis, resulting in six regular issues per year. This ensures a steady and timely dissemination of current research in data science and intelligent systems, allowing authors and readers to stay updated on emerging trends and technological breakthroughs.

Ownership

The Sensor Networks and Cloud Computing (SNCC) journal is owned and published by Mc'Xanza Publications, a global publisher committed to advancing academic knowledge through high-quality, open-access platforms for innovation and applied research.

Archiving

All volumes and issues of SNCC are permanently archived and freely accessible through the journal’s official website. This long-term archiving ensures that published content remains available to researchers, educators, and the public, preserving academic contributions for future reference.

Ethics Statement

SNCC upholds the highest standards of publication ethics and integrity. All submitted manuscripts undergo rigorous double-blind peer review to ensure quality, originality, and scientific validity. The journal adheres to strict ethical guidelines concerning authorship, conflicts of interest, and data integrity. Authors must disclose any financial or personal relationships that could bias their work, and editors and reviewers must treat all manuscripts with confidentiality and impartiality. SNCC follows the COPE (Committee on Publication Ethics) principles and takes proactive measures to prevent research misconduct, including falsification, fabrication, and unethical experimentation. The editorial board reserves the right to retract any article found to be in violation of these ethical standards. By promoting transparency, accountability, and academic rigor, SNCC aims to foster a trustworthy and credible environment for the dissemination of impactful research.

Plagiarism Policy

SNCC enforces a zero-tolerance policy on AI-generated plagiarism and maintains a strict upper limit of 10% manual plagiarism as verified through reliable plagiarism detection tools. All submissions are screened at the initial stage to detect duplicate or unethical content. AI-generated manuscripts or those lacking original human intellectual input will be immediately rejected. Authors are encouraged to ensure their work is entirely original and properly cited. Any breach of this policy may lead to manuscript rejection or post-publication retraction. Upholding originality is crucial to maintaining the integrity and academic value of the journal.

Publication Charges

SNCC is committed to supporting open-access academic publishing without placing a financial burden on contributors. We are proud to offer zero publication charges for all authors. This means there are no fees for submission, peer review, or publication, allowing researchers from all regions and institutions to freely disseminate their work. Our aim is to encourage high-quality, accessible research in data science and machine intelligence without financial barriers. Authors can submit and publish their work in SNCC with the confidence that there are no hidden costs or article processing charges (APCs) at any stage of the process.

Copyright Form

All authors must complete and submit a Copyright Transfer Form upon acceptance of their manuscript. This form ensures proper transfer of rights for publication while retaining author attribution.

Download the Copyright Form

Manuscript Template

Authors are encouraged to use the official SNCC manuscript template to prepare their submissions in a consistent and professional format. This template helps streamline the review and production process.

Download the Manuscript Template