About
Alekhya Gorrela is a doctoral researcher in the Internet of Things, with a focus on LoRaWAN and low-power wide-area networks. Her work addresses network-performance optimisation, energy efficiency and resource allocation for large-scale IoT applications through simulation-based analysis and protocol-level optimisation.
Supervisors
Prof. Nikumani Choudhury, BITS Pilani, Hyderabad Campus.
Research Interests and Technical Focus
Research topic: Exploiting Adaptive Data Rate Technique for Longer Network Lifetime and Resource Allocation of LoRa-Based IoT Applications.
- Internet of Things and large-scale IoT applications
- LoRa and LoRaWAN communication systems
- Low-Power Wide-Area Networks
- Adaptive Data Rate optimisation
- Channel Activity Detection
- Energy-efficient resource allocation
- Network lifetime, reliability and scalability
Research Objective
This research focuses on improving the performance and energy efficiency of LoRa-based IoT networks using the Adaptive Data Rate technique. The work aims to extend network lifetime and optimise resource allocation for large-scale IoT applications.
It also evaluates the effect of Adaptive Data Rate and Channel Activity Detection mechanisms on communication reliability, latency, scalability and overall network performance.
Projects, Tools and Evaluation
- Simulation of LoRaWAN networks using NS-3 and MATLAB.
- Implementation and evaluation of Adaptive Data Rate mechanisms in simulated LoRaWAN environments.
- Evaluation of Channel Activity Detection mechanisms.
- Performance analysis using energy consumption, packet delivery ratio, latency, reliability and network lifetime.
Contact and Research Profiles
Lab contact: contact@lumenxlab.org
Google Scholar: View research profile
LinkedIn: View LinkedIn profile