Energy Efficient Wireless Sensor Networks

Neueste Paper

• Energy-efficient operation of neural operators for virtual sensing

  Jason Yoo, Samrendra Roy, Souvik Chakraborty, Syed Bahauddin Alam · 28. September 2026

  Virtual sensing repeatedly reconstructs physical fields from changing observations, often on a fixed geometry. We investigate how shared spatial computation reduces the energy of these updates while retaining the selected checkpoint and its evaluated predictions. In a heat-exchanger service, standar…

• A Recommendation System Approach for Interference-Robust Sensor Subset Selection

  Kaan Buyukkalayci, Kyle Pak, Merve Karakas, Christina Fragouli · 12. August 2026

  This paper develops a method for sensor-subset selection for tracking. Prior work showed that low-cost acoustic Received Signal Strength Indicator (RSSI) measurements can be used to recommend subsets of sensor nodes whose expensive sensing modalities, such as cameras, can achieve high tracking accur…

• ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

  Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao, Robert Schober, Deniz G\"und\"uz · 10. Juli 2026

  Token communications (TokenCom) is an emerging generative semantic communication paradigm, where tokens serve as compact representation units across modalities. Their contextual dependencies can be exploited by pretrained large models for semantic recovery. In this paper, we propose token-domain mul…

• Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters

  Kazuma Kobayashi, Farid Ahmed, Jaewan Park, Subhankar Sarkar, Souvik Chakraborty, Syed Bahauddin Alam · 16. Juni 2026

  Real-time monitoring of safety-critical interior states remains an open problem in energy systems where physical instrumentation is infeasible. Existing approaches rely on explicit governing equations, finite-dimensional state vectors, or per-instance retraining, which prevents mesh-independent, fie…

• Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs

  Xi Chen, Jianchuan Yang, Junjie Zhang, Runnan Yang, Xu Liu, Hong Wang, Tinghui Zheng, Ziyu Ren, Wenqi Hu · 29. Mai 2026

  Physics-Informed Neural Networks (PINNs) offer a powerful framework for solving PDEs by embedding physical laws into the learning process. However, when applied to domains with irregular boundaries, PINNs often suffer from instability and slow convergence, which stems from (1) inconsistent normaliza…

• IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation

  Mingchun Sun, Rongqiang Zhao, Muhammad Abdul Munnaf, Jie Liu · 28. Mai 2026

  In wireless sensor networks (WSNs), data augmentation is a novel method to improve sampling-frequency decision performance, thereby enabling energy optimization for IoT (Internet of Things) sensors. However, existing methods rely on a single generator and empirically determined quantities, failing t…

• Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation

  Tianheng Ling, Chao Qian, Gregor Schiele · 22. April 2026

  Executing flow estimation using Deep Learning (DL)-based soft sensors on resource-limited IoT devices has demonstrated promise in terms of reliability and energy efficiency. However, its application in the field of wastewater flow estimation remains underexplored due to: (1) a lack of available data…

• MoGERNN: An Inductive Traffic Predictor for Unobserved Locations

  Qishen Zhou, Yifan Zhang, Michail A. Makridis, Anastasios Kouvelas, Yibing Wang, Simon Hu · 21. April 2026

  Given a partially observed road network, how can we predict the traffic state of interested unobserved locations? Traffic prediction is crucial for advanced traffic management systems, with deep learning approaches showing exceptional performance. However, most existing approaches assume sensors are…

• PCA-Driven Adaptive Sensor Triage for Edge AI Inference

  Ankit Hemant Lade, Sai Krishna Jasti, Nikhil Sinha, Indar Kumar, Akanksha Tiwari · 8. April 2026

  Multi-channel sensor networks in industrial IoT often exceed available bandwidth. We propose PCA-Triage, a streaming algorithm that converts incremental PCA loadings into proportional per-channel sampling rates under a bandwidth budget. PCA-Triage runs in O(wdk) time with zero trainable parameters (…

• Leveraging Wireless Sensor Networks for Real-Time Monitoring and Control of Industrial Environments

  Muhammad Junaid Asif, Abdul Rehman, Asim Mehmood, Rana Fayyaz Ahmad, Shazia Saqib · 7. April 2026

  This research proposes an extensive technique for monitoring and controlling the industrial parameters using Internet of Things (IoT) technology based on wireless communication. We proposed a system based on NRF transceivers to establish a strong Wireless Sensor Network (WSN), enabling transfer of r…

• Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory

  Yaxin Liao, Qimei Cui, Kwang-Cheng Chen, Xiong Li, Jinlian Chen, Xiyu Zhao, Xiaofeng Tao, Ping Zhang · 26. März 2026

  Achieving agile and reconfigurable production flows in smart factories depends on online multi-robot task assignment (MRTA), which requires online collision-free and congestion-free route scheduling of transportation multi-robot systems (T-MRS), e.g., collaborative automatic guided vehicles (AGVs). …

• PlugSI: Plug-and-Play Test-Time Graph Adaptation for Spatial Interpolation

  Xuhang Wu, Zhuoxuan Liang, Wei Li, Xiaohua Jia, Sumi Helal · 11. Februar 2026

  With the rapid advancement of IoT and edge computing, sensor networks have become indispensable, driving the need for large-scale sensor deployment. However, the high deployment cost hinders their scalability. To tackle the issues, Spatial Interpolation (SI) introduces virtual sensors to infer readi…

• Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking

  Narjes Nourzad, Bhaskar Krishnamachari · 2. Februar 2026

  In dynamic and resource-constrained environments, such as multi-hop wireless mesh networks, traditional routing protocols often falter by relying on predetermined paths that prove ineffective in unpredictable link conditions. Shortest Anypath routing offers a solution by adapting routing decisions b…

• Learnable WSN Deployment of Evidential Collaborative Sensing Model

  Ruijie Liu, Tianxiang Zhan, Zhen Li, Yong Deng · 30. Dezember 2025

  In wireless sensor networks (WSNs), coverage and deployment are two most crucial issues when conducting detection tasks. However, the detection information collected from sensors is oftentimes not fully utilized and efficiently integrated. Such sensing model and deployment strategy, thereby, cannot …

• Machine Learning to Predict Slot Usage in TSCH Wireless Sensor Networks

  Stefano Scanzio, Gabriele Formis, Tullio Facchinetti, Gianluca Cena · 4. Dezember 2025

  Wireless sensor networks (WSNs) are employed across a wide range of industrial applications where ultra-low power consumption is a critical prerequisite. At the same time, these systems must maintain a certain level of determinism to ensure reliable and predictable operation. In this view, time slot…

• Convergence of Shallow ReLU Networks on Weakly Interacting Data

  L\'eo Dana (SIERRA), Francis Bach (SIERRA), Loucas Pillaud-Vivien (ENPC, CERMICS) · 2. Dezember 2025

  We analyse the convergence of one-hidden-layer ReLU networks trained by gradient flow on $n$ data points. Our main contribution leverages the high dimensionality of the ambient space, which implies low correlation of the input samples, to demonstrate that a network with width of order $\log(n)$ neur…

• HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation

  Nguyen Van Son, Nguyen Tri Nghia, Nguyen Thi Hanh, Huynh Thi Thanh Binh · 25. November 2025

  Wireless Sensor Networks (WSN) are the backbone of essential monitoring applications, but their deployment in unfavourable conditions increases the risk to data integrity and system reliability. Traditional fault detection methods often struggle to effectively balance accuracy and energy consumption…

• Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning

  Shubham Vaishnav, Praveen Kumar Donta, Sindri Magn\'usson · 18. November 2025

  IoT networks often face conflicting routing goals such as maximizing packet delivery, minimizing delay, and conserving limited battery energy. These priorities can also change dynamically: for example, an emergency alert requires high reliability, while routine monitoring prioritizes energy efficien…

• K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks

  Masoud Ataei, Vikas Dhiman, Mohammad Javad Khojasteh · 28. Oktober 2025

  Neural networks are parametric and powerful tools for function approximation, and the choice of architecture heavily influences their interpretability, efficiency, and generalization. In contrast, Gaussian processes (GPs) are nonparametric probabilistic models that define distributions over function…

• PhySense: Sensor Placement Optimization for Accurate Physics Sensing

  Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long · 28. Oktober 2025

  Physics sensing plays a central role in many scientific and engineering domains, which inherently involves two coupled tasks: reconstructing dense physical fields from sparse observations and optimizing scattered sensor placements to observe maximum information. While deep learning has made rapid ad…

• Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks

  Bowei Tong, Hui Kang, Jiahui Li, Geng Sun, Jiacheng Wang, Yaoqi Yang, Bo Xu, Dusit Niyato · 27. Oktober 2025