Dakshanya Maddala
Doctoral Researcher
Multi-Robot Coordination, Edge intelligence, Wireless Sensor Networks, and Coverage Optimization
A Wireless Sensor Network (WSN) consists of a spatially distributed collection of dedicated, autonomous devices equipped with sensors to cooperatively monitor physical or environmental conditions. These compact nodes track data—such as temperature, pressure, motion, or acoustics—and leverage radio signals to pass their measurements through the network infrastructure to a central location, known as a base station or sink, where the data is analyzed. Because these networks typically operate in remote or hazardous environments, they rely heavily on low-power, ad-hoc wireless routing protocols and localized battery power to maintain long-term, self-healing communication without human intervention.
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Researchers
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01 / WHO WORKS ON THIS
Members of the lab whose work sits in this area.
Dakshanya Maddala
Doctoral Researcher
Multi-Robot Coordination, Edge intelligence, Wireless Sensor Networks, and Coverage Optimization
Xavier Alejandro Gonzalez
Master's Researcher
Applied Machine Learning & Signal Processing Wireless Sensor Networks Networking & Systems
02 / WHAT CAME OUT OF IT
Everything the lab has published in this area, newest first.
Each publication is assigned an area from the console; those assigned to this one collect here.
ELSEWHERE IN THE LAB
AREA 01
Training and unlearning across distributed clients, with Byzantine robustness and privacy budgets that survive contact with real edge hardware.
AREA 02
V2X and MANET security: authentication protocols, digital-twin traffic environments, and defences against routing and forwarding attacks.
AREA 03
Clinical and assistive models built to be checked — ECG arrhythmia detection, breast-ultrasound diagnosis, and multi-sensor elderly-care monitoring.
AREA 04
LLM-based formative feedback and exemplar selection for school mathematics, evaluated for feasibility before deployment.
AREA 05
Signal-level models for sensing and interaction, from sEMG recognition to energy forecasting on constrained devices.
AREA 06
Wireless sensor networks, protocol performance under noise, and the systems work that makes distributed intelligence deployable.