Introduction

The WISN Lab, led by Dr. Muhammad Shahzad, focuses on two broad research areas: ubiquitous sensing and networking. On the ubiquitous sensing side, we are currently focusing on leveraging ambient modalities, such as WiFi, RF, light, and sound, to perform a variety of ubiquitous sensing tasks, such as monitoring the activities of occupants in indoor environments, tracking the state of appliances in buildings, improving the accuracies of sensors on handheld devices and other projects along similar lines. On the networking side, we focus on a variety of measurement problems in wireless networks, data centers, public clouds, and RFID networks. Our network measurement work not only involves characterization of various aspects in these networks but also involves developing the techniques to obtain the measurements. WISN lab is supported by National Science Foundation, Army Research Office, Kenan Institute, Lab for Analytic Sciences, NCSU's Office of Research, Innovation, and Economic Development, Sony, Amazon, Google, and PLUMgrid (now acquired by VMWare).

Recent News


    2020
  • Our work regarding Creating maps of buildings using Radio Frequency signals got featured in NC State newslette
  • "Leveraging Polarization of WiFi Signals to Simultaneously Track Multiple People" accepted in ACM IMWUT '20 & UbiComp '20
  • "RFMap: Generating Indoor Maps using RF Signals" abstract accepted in IPSN '20
  • "Characterizing the Impact of TCP Coexistence in Data Center Networks" accepted in ICDCS '20
  • "SF-sketch: A Two-stage Sketch for Data Streams" accepted in IEEE TPDS '20
  • "Distributed and Privacy Preserving Routing of Connected Vehicles to Minimize Congestion" abstract accepted in IEEE IFIP Networking '20

  • 2019
  • New grant received from Sony for "Accurate position tracking through sensor fusion"
  • Our work on measuring distance traversed using WiFi and IMU received Best Demo Award at ICNP 2019
  • Congrats to Raghav for successfully defending his PhD!
  • "WiFi based Multi-User Gesture Recognition" accepted in IEEE TMC '19
  • "Enhancing Indoor Inertial Odometry with WiFi" accepted in ACM IMWUT '19 & UbiComp '19
  • "Large Scale Characterization of Software Vulnerability Life Cycles" accepted in IEEE TDSC '19
  • "Characterizing the Performance of WiFi in Dense IoT Deployments" accepted in ICCCN '19
  • 2 extended abstracts accepted in IFIP Networking '19
  • "A Framework to Secure IoT Networks Against Network Layer Attacks" accepted in IFIP Networking '19
  • "Characterizing the Performance of WiFi in Dense IoT Deployments" accepted in IFIP Networking '19
  • CSlim paper accepted in ComNet-IoT '19

  • 2018
  • 2 papers accepted in UbiComp '18
  • "Multi-User Activity Recognition Using WiFi" accepted in MobiSys'18
  • "IoTm: A Lightweight Framework for Fine-grained Measurements of IoT Performance Metrics" accepted in ICNP '18
  • "Identifying and Estimating Persistent Items in Data Streams" accepted in IEEE/ACM ToN '18
  • "FID-Sketch: an Accurate Sketch to Store Frequencies in Data Streams" accepted in WWW Journal '18
  • "Towards Composing Access Control Policies" accepted in ICC '18
  • "Sizing Buffers of IoT Edge Routers" accepted in EdgeSys '18
  • "Impacts and Detection of Network Layer Attacks on IoT Networks" accepted in Mobile IoT SSP '18
  • "Empowering Sketches with Machine Learning for Network Measurements" accepted in Mobile NetAI '18
  • "Recognizing Gestures With Ambient Light" accepted in Mobile ACM S3 '18