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Delay/Disruption Tolerant Network-Based Message Forwarding for a River Pollution Monitoring Wireless Sensor Network
Carlos Velásquez-Villada1, Yezid Donoso2
1Systems and Computing Engineering Department, Universidad de los Andes, 111711 Bogotá D.C., Colombia. ce.velasquez917@uniandes.edu.co.
Sensors (Basel, Switzerland)
|March 30, 2016
Summary
Remote river pollution monitoring faces communication challenges. A Delay/Disruption Tolerant Network (DTN) solution with persistent storage and mechanical backhaul achieved 98% message delivery, overcoming connectivity issues.
Area of Science:
- Environmental Science
- Computer Science
- Network Engineering
Background:
- Remote monitoring projects often struggle with communication difficulties.
- The GOLDFISH project aimed to monitor river pollution in developing countries using sensor clusters.
- Floating WiFi antennas and inconsistent 2G/3G availability posed significant communication challenges.
Purpose of the Study:
- To propose and evaluate a Delay/Disruption Tolerant Network (DTN)-based solution for reliable data transmission from remote, mobile sensors.
- To address communication disruptions caused by antenna movement and unreliable backhaul in riverine environments.
Main Methods:
- Implementation of a Delay/Disruption Tolerant Network (DTN) architecture with persistent storage on all nodes.
- Utilizing a mechanical backhaul system for periodic data collection from a riverbank gateway.
- Deployment of floating WiFi antennas along a river's course for sensor data transmission.
Main Results:
- The proposed DTN-based forwarding protocol achieved approximately 98% message delivery success rate.
- The solution demonstrated superior performance compared to other established DTN routing protocols in the tested scenario.
- Persistent storage and DTN protocols enabled nodes to overcome temporary communication outages.
Conclusions:
- DTN-based solutions are highly effective for non-real-time data transmission in challenging remote environments with intermittent connectivity.
- Mechanical backhaul combined with DTN protocols offers a robust and reliable method for data retrieval from sensor networks in difficult terrains.
- The GOLDFISH project's DTN approach successfully mitigated communication disruptions, enhancing the feasibility of remote environmental monitoring.

