{"id":1088,"date":"2026-11-12T17:32:00","date_gmt":"2026-11-12T17:32:00","guid":{"rendered":"https:\/\/els-journal.net\/wp\/?page_id=1088"},"modified":"2026-11-13T17:07:06","modified_gmt":"2026-11-13T17:07:06","slug":"2026-call-for-papers","status":"publish","type":"page","link":"https:\/\/els-journal.net\/wp\/?page_id=1088","title":{"rendered":"2026 Call for Papers"},"content":{"rendered":"\n\n\n

Call for Papers<\/h1>\n

for Special Issue on<\/h4>\n

Energy Efficient IoT Systems with Adaptive Sensing and Network Intelligence<\/span><\/h3>\n

Background<\/h4>\n

The Internet of Things (IoT) has become a fundamental technology paradigm for connecting sensing devices, intelligent systems, and digital services across a wide <\/span>range of applications, including smart cities, industrial automation, environmental <\/span>monitoring, transportation, and healthcare. With the rapid expansion of IoT networks <\/span>in scale and complexity, energy consumption has become a critical challenge affecting <\/span>system scalability, reliability, and long term operation. In particular, resource <\/span>constrained IoT devices deployed in large scale and remote environments must <\/span>continuously perform sensing, wireless communication, and data processing under <\/span>limited energy budgets.<\/span><\/p>\n

Recent advances have moved beyond conventional low power hardware designs <\/span>toward adaptive sensing and intelligent network optimization. Adaptive sensing <\/span>enables IoT devices to dynamical ly adjust data acquisition strategies based on <\/span>environmental conditions, data characteristics, and device states, thereby reducing <\/span>unnecessary sensing and communication overhead. Meanwhile, machine learning <\/span>approaches, including reinforcement learning, have been increasingly explored for <\/span>intelligent network management, such as routing optimization, resource allocation, <\/span>edge computing, and task scheduling. These developments provide new opportunities <\/span>for improving energy efficiency across sensing, communication, and computing layers.<\/span><\/p>\n

However, achieving energy efficient and intelligent IoT systems remains challenging <\/span>due to heterogeneous network environments, dynamic operating conditions, limited <\/span>device capabilities, and complex trade offs among energy consumption, latency, <\/span>reliability, and sensing accuracy. Therefore, integrated solutions that jointly optimize <\/span>sensing, networking, and computing processes are essential for developing scalable, <\/span>adaptive, and sustainable IoT systems.<\/span><\/p>\n

Aims and Scope<\/span><\/h4>\n

This Special Issue aims to invite research contributions on recent advances in energy <\/span>efficient IoT systems, with particular emphasis on adaptive sensing, network <\/span>intelligence, and their coordinated optimization. It seeks to promote system level <\/span>approaches that integrate sensing, communication, and computing for developing <\/span>scalable, reliable, and sustainable IoT systems. <\/span>Topics of interest i<\/span>nclude, but are not limited to:<\/span><\/p>\n

  • Energy efficient architectures and protocols for IoT systems<\/li>
  • Adaptive, context a ware, and event driven sensing for IoT\n<\/li>
  • Energy efficient sampling and data acquisition\n <\/li>
  • AI enabled network intelligence and optimization\n <\/li>
  • Energy efficient routing, communication, and resource management<\/li>
  • Joint sensing, communication, and computing optimization<\/li>
  • Edge intelligence and edge cloud collaborative computing<\/li>
  • Lightweight AI models and efficient inference on resource constrained devices<\/li>
  • Energy efficient deployment of LLMs, foundation models, and Physical AI for IoT<\/li>
  • Energy efficient IoT applications and re al world deployments<\/li><\/ul><\/p>\n

    Manuscript Preparation and Submission<\/h4>\n

    Please follow the guidelines provided on the website of the \u201cElectronics\u201d journal. Note that the manuscript must be submitted via the online submission system. During submission, please ensure that Energy Efficient IoT Systems with Adaptive Sensing and Network Intelligence<\/strong> is selected as a topic. Use provided manuscript template to prepare your paper before submission. Upon the manuscript acceptance, the author will receive detailed instructions on how to prepare their work for printing. <\/p>\n

    Submission Timeline<\/h4>\n\n\n

    Submission opening date:<\/p>\n

    Submission closing date:<\/p>

    Expected publication date:<\/p>\n\n\n

    November 14, 2026<\/p>\n

    May 31, 2027<\/p>\n

    September 15, 2027<\/p><\/strong><\/span>

    <\/p>\n\n\n\n\n

    Submission opening date:<\/p>\n

    November 14, 2026<\/span><\/p>\n

    Submission closing date:<\/span><\/p>\n

    May 31, 2027<\/span><\/p>\n

    Expected publication date:<\/span><\/p>\n

    September 15, 2027<\/span><\/p>\n\n\n\n\n

    Guest Editors<\/h4>\n\n\n\n\n\n

    Prof. Jingsha He received his Bachelor\u2019s degree in computer science from Xi\u2019an Jiaotong University in China in July 1982 and his Master\u2019s and Ph.D. degrees in computer engineering from the University of Maryland at College Park in U.S. in December 1984 and December 1990, respectively. Prof. He has been with the Faculty of Information Technology of Beijing University of Technology (BJUT) in Beijing, China since August 2003, starting therein as a distinguished professor of the Beijing municipality during the first three years. Since joining BJUT in August 2003, Prof. He has published over 400 papers in scholarly journals and major international conferences, received 130 Chinese patents and 66 software copyrights, and authored or co-authored 12 books in software engineering and information security. Prof. He\u2019s research interests include information security, wireless networks, blockchain technology and digital forensics. Prof. He has organized special issues on “intelligent manufacturing, Artificial Intelligence, intelligent transportation, advanced manufacturing, Industry 5.0, intelligent computing and intelligent control” on many journals, such as IEEE Transactions on Intelligent Transportation Systems, International Journal of Advanced Manufacturing Technology, Computational Intelligence, etc. He has served as principal investigator for over 40 national and municipal research projects funded by major Chinese science foundations and government agencies. Prior to joining BJUT, he worked in several multinational companies in the United States, including IBM, MCI Communications, and Fujitsu Laboratories of America, and received multiple U.S. patents for his research contribution.<\/p>\n\n\n\n\n\n\n\n

    Nafei Zhu received her B.S. and M.S. degrees from Central South University of China and her Ph.D. degree from Beijing University of Technology. She also completed her post-doc research at the Institute of Software of the Chinese Academy of Sciences. She has been with Beijing University of Technology since 2017 where she is presently an associate professor in the College of Computer Science. Prof. Zhu\u2019s research interests include information security, privacy protection, and blockchain technologies. She has published over 120 papers and obtained more than 50 Chinese patents in the research areas of her interests. She has also served as the principal investigator for research projects funded by the Natural Science Foundation of China and other major national funding agencies.<\/p>\n\n\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"class_list":["post-1088","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=\/wp\/v2\/pages\/1088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1088"}],"version-history":[{"count":23,"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=\/wp\/v2\/pages\/1088\/revisions"}],"predecessor-version":[{"id":1127,"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=\/wp\/v2\/pages\/1088\/revisions\/1127"}],"wp:attachment":[{"href":"https:\/\/els-journal.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}