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Most-cited papers on Resource Constrained Device Deployment

Ranked by citation count via OpenAlex. Citations update on a rolling basis; list regenerates every 24h.

Challenges in Resource-Constrained IoT Devices: Energy and Communication as Critical Success Factors for Future IoT Deployment
2020 · Sensors · Pereira, Felisberto, Correia, Ricardo, Pinho, Pedro et al.
126 cited
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
2025 · ACM Transactions on Design Automation of Electronic Systems · Qin, Ruiyang, Liu, Dancheng, Xu, Chenhui et al.
17 cited
TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained Devices
2024 · Arcot, Sonali, Masum, Mohammad, Kader, Mohammad Shahidul et al.
8 cited
Deploy Large-Scale Deep Neural Networks in Resource Constrained IoT Devices with Local Quantization Region
2018 · arXiv (Cornell University) · Yang, Yi, Chen, Andy, Xiaoming, Chen, et al.
7 cited
Manage resource-constrained IoT devices through dynamically generated and deployed YANG models
2017 · Scheffler, Thomas, Bonneß, Olaf
7 cited
A Survey on Federated Learning for Resource-Constrained IoT Devices
2021 · IEEE Internet of Things Journal · Imteaj, Ahmed, Thakker, Urmish, Wang, Shiqiang et al.
709 cited
Lightweight Cryptography Algorithms for Resource-Constrained IoT Devices: A Review, Comparison and Research Opportunities
2021 · IEEE Access · Thakor, Vishal A., Razzaque, Mohammad A., Khandaker, Muhammad R. A.
382 cited
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
2020 · IEEE Transactions on Wireless Communications · Shi, Wenqi, Zhou, Sheng, Niu, Zhisheng et al.
372 cited
Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review
2022 · Proceedings of the IEEE · Shuvo, Md Maruf Hossain, Islam, Syed K., Cheng, Jianlin et al.
320 cited
Management of resource constrained devices in the internet of things
2012 · IEEE Communications Magazine · Sehgal, Anuj, Perelman, Vladislav, Kuryla, Siarhei et al.
243 cited
On effective offloading services for resource-constrained mobile devices running heavier mobile Internet applications
2008 · IEEE Communications Magazine · Yang, Kun, Ou, Shumao, Chen, Hsiao‐Hwa
223 cited
Distance-constrained resource-sharing criteria for device-to-device communications underlaying cellular networks
2012 · Electronics Letters · Wang, Haoying, Chu, Xiaoli
151 cited
MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices
2014 · Perera, Charith, Jayaraman, Prem Prakash, Zaslavsky, Arkady et al.
135 cited
Federated Dropout—A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
2022 · IEEE Wireless Communications Letters · Wen, Dingzhu, Jeon, Ki Jun, Huang, Kaibin
134 cited
An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices
2022 · Neural Computing and Applications · Venâncio, Pedro Vinícius Almeida Borges de, Lisboa, Adriano C., Barbosa, Adriano Vilela
132 cited
Hummingbird: Ultra-Lightweight Cryptography for Resource-Constrained Devices
2010 · Lecture notes in computer science · Engels, Daniel W., Fan, Xinxin, Gong, Guang et al.
131 cited
An efficient and secure privacy-preserving approach for outsourced data of resource constrained mobile devices in cloud computing
2016 · Journal of Network and Computer Applications · Pasupuleti, Syam Kumar, Ramalingam, Subramanian, Buyya, Rajkumar
129 cited
A Lightweight Secure Cyber Foraging Infrastructure for Resource-Constrained Devices
2005 · Goyal, Sunil, Carter, J.
119 cited
Towards a distributed platform for resource-constrained devices
2003 · Messer, Alan, Greenberg, Ira, Bernadat, Philippe et al.
113 cited
FogFL: Fog-Assisted Federated Learning for Resource-Constrained IoT Devices
2020 · IEEE Internet of Things Journal · Saha, Rituparna, Misra, Sudip, Deb, Pallav Kumar
112 cited
Lightweight Management of Resource-Constrained Sensor Devices in Internet of Things
2015 · IEEE Internet of Things Journal · Sheng, Zhengguo, Wang, Hao, Yin, Changchuan et al.
112 cited
Efficient CNN based summarization of surveillance videos for resource-constrained devices
2018 · Pattern Recognition Letters · Muhammad, Khan, Hussain, Tanveer, Baik, Sung Wook
109 cited
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices
2020 · Wang, Qinyong, Yin, Hongzhi, Chen, Tong et al.
108 cited
Comparison of ECC and RSA Algorithm in Resource Constrained Devices
2013 · Bafandehkar, Mohsen, Yasin, Sharifah Md, Mahmod, Ramlan et al.
104 cited
CloudEyes: Cloud‐based malware detection with reversible sketch for resource‐constrained internet of things (IoT) devices
2016 · Software Practice and Experience · Sun, Hao, Wang, Xiaofeng, Buyya, Rajkumar et al.
103 cited
A Practical Performance Comparison of ECC and RSA for Resource-Constrained IoT Devices
2018 · Suárez-Albela, Manuel, Fernández‐Caramés, Tiago M., Fraga‐Lamas, Paula et al.
100 cited
Lightweight Authentication Protocol for M2M Communications of Resource-Constrained Devices in Industrial Internet of Things
2020 · Sensors · Lara, Evangelina, Aguilar, Leocundo, Sanchez, Mauricio A. et al.
98 cited
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
2023 · Neurocomputing · Kamath, Vidya, Renuka, A
98 cited
Lightweight blockchain consensus mechanism and storage optimization for resource-constrained IoT devices
2021 · Information Processing & Management · Li, Chunlin, Zhang, Jing, Yang, Xianmin et al.
98 cited
Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset
2023 · Cybersecurity · Sharmila, B., Nagapadma, Rohini
91 cited