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Agriculture
Distributed Algorithms for Smart Agriculture
3 months
University Research Project
Overview
This project implemented a distributed monitoring system for smart agriculture using interconnected sensors and decentralized algorithms (LEACH & LEACH-C). The objective was to enhance scalability, energy efficiency, and decision-making across large dynamic fields without centralized bottlenecks.
IoT
Distributed Systems
Wireless Sensor Networks
LEACH
LEACH-C
Clustering
Data Optimization
The Challenge
Modern agriculture demands high efficiency and adaptability. Centralized monitoring often fails in real-time responsiveness and scalability across vast fields. The challenge was to design a system that adapts to dynamic environments, manages energy constraints, and sustains reliable communication.
Key Challenges Faced:
- Balancing energy optimization with system reliability requirements
- Ensuring time synchronization across mobile sensor nodes
- Implementing efficient clustering and consensus mechanisms
- Adapting to unpredictable environmental changes