Innovative Protocols, Algorithms, and Applications for Autonomous Sensing and Sensor Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 25 August 2026 | Viewed by 23
Special Issue Editors
Interests: shared spectrum networks; intelligent computer networks; AI-based healthcare; multi-agent systems
Interests: software engineering; distributed computing; formal methods text & data mining; semantic computing; deep learning
Interests: distributed multimedia systems; high-speed networks to support real-time applications; performance evaluation; local area networks
Special Issue Information
Dear Colleagues,
The confluence of sensing technologies and artificial intelligence is driving a transformative shift across numerous domains, enabling sensing systems to move beyond simple data collection toward intelligent, predictive, and autonomous decision-making. Leveraging advanced AI-enabled capabilities, such as perception, reasoning, and action execution, particularly through large language models and deep learning, offers significant potential for developing new and innovative protocols, algorithms, and applications to autonomously perform complex fusion and processing of massive amounts of multimodal data to gain valuable insights and knowledge. Armed with these capabilities, future sensing applications can anticipate trends, simulate scenarios to uncover vulnerabilities and hidden risks, and recommend optimal actions, securely and at scale, with unprecedented levels of accuracy, efficiency, and adaptability. The dynamic continuous loop, where perception, cognition, and action are seamlessly integrated into sensing devices and sensor networks, will enable the development of self-configuring, self-adapting, and self-optimizing sensing systems. These systems will support autonomous, proactive sensing strategies, applications, and decision-making across a wide range of domains, including healthcare, agriculture, supply chain, and manufacturing.
Despite recent advances in intelligent sensors and sensing technology, autonomous sensing and sensor networks face several key challenges. A primary issue is the need for real-time algorithms and protocols for the acquisition and processing of compositional and semantic data necessary to provide meaning, context, and relationships. Effective approaches and methods are also needed to handle domain shifts caused by variations in sensor technology and the environment. Moreover, integrating intelligent capabilities into autonomous sensor networks requires responsive and robust hardware that can securely and reliably perform observation, reconfiguration, and cognition. This Special Issue seeks original research articles, as well as review and survey papers, focused on advances in innovative protocols, algorithms, and applications for the next generation of intelligent, autonomous sensor networks.
Dr. Debarun Das
Prof. Dr. Haiping Xu
Prof. Dr. Taieb Znati
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous sensing
- sensor networks
- innovative sensing algorithms, protocols, and applications
- intelligent sensing hardware
- intelligent methods for real-time semantic data acquisition and processing
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