Introduction

The EmNets Lab at Zhejiang University focuses on issues in the area of IoT (Internet of Things) systems and networks. Distributed systems based on embedded platform allow for an instrumentation of the physical world at an unprecedented scale and density, thus enabling a new generation of monitoring and control applications. The current research interests of EmNets span a wide spectrum into IoT systems and networks, edge computing, low-power wireless networking, intelligent sensing and mobile computing. The EmNets group is headed by Prof. Wei Dong.

Projects

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Confidentiality Awareness Computing

Building Trusted IoT Software

LinkLab

A remote IoT development and experiment platform

IoT + AI LLM

Intelligent agents for IoT systems

TinyEdge

A tiny edge platform for IoT applications

TinySim

Simulation for end-to-end IoT applications

Computility Grid

Efficient scheduling algorithms with heterogeneous computing power

TinyLink

An approach to rapidly developing IoT applications

Cross ecological interconnection and security

Blockchain based cross ecological interconnection and security mechanism of the Internet of Things

Edge computing and edge AI

Combining edge computing with artificial intelligence

Intelligent sensing

Innovative applications and intelligent sensing techniques

Low-power wireless

In-depth study into low-power wireless technologies for IoT

Mosaic

Air quality monitoring using mobile sensing

GreenOrbs

A large-scale sensor network

SenSpire OS

A micro operating system

Recent Publications

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ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs. Proc. of IMWUT/UbiComp 2024. (Oct 2024).

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Elastic DNN Inference with Unpredictable Exit in Edge Computing. IEEE Transactions on Mobile Computing. (Aug 2024).

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Reducing End-to-End Latency of Trigger-Action IoT Programs on Containerized Edge Platforms. IEEE Transactions on Mobile Computing. (Aug 2024).

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SimEnc: a High-Performance Similarity Preserving Encryption Approach for Deduplication of Encrypted Docker Images. Proc. of USENIX ATC 2024. (Jul 2024).

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Device

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AI Edge Computing Device NVIDIA Jetson Xavier NX

NVIDIA® Jetson Xavier™ NX is a compact modular system (SOM) tshat provides supercomputer performance for edge systems. The Jetson Xavier NX is suitable for high-performance AI systems such as UAVs, portable medical devices, small commercial robots, intelligent cameras, high-resolution sensors, automatic optical detection and other IoT embedded systems.

DJI Phantom 4 Pro V2.0

The Phantom 4 Pro V2.0 aerial photography wizard of Dajiang aerial photography has strong performance, outstanding perception ability and sufficient endurance, which is very suitable for environment perception in the Internet of Things scene.

LinkLab Equipment Cabinet

LinkLab equipment cabinet includes Arduino Mega, DevDevKit, ESP32 DevKitC, Arduino Uno and Raspberry, which are arranged from top to bottom, providing a model for the standardized layout of remote IoT experiment hardware.