IoT Sensor Networks Set the New Standard in Wastewater Monitoring

The Nervous System of Wastewater Infrastructure Is Being Renewed

Wastewater infrastructure is, by nature, geographically dispersed and largely hidden. Sewer collectors, pumping stations, overflow points and large-diameter sewer structures are spread across tens of kilometres of urban geography. Real-time monitoring of this infrastructure has long been economically out of reach because of the cost of classic wired infrastructure.

Low-power wide area network (LPWAN) technologies have structurally changed that equation over the last three years. LoRaWAN and NB-IoT have moved from pilot to standard infrastructure component for wastewater. Sector reference data show IoT sensor network deployment costs are 70 percent lower than classic wired monitoring infrastructure.

Comparing the LPWAN Technologies

The two LPWAN technologies common in wastewater infrastructure:

LoRaWAN: an open-standard, low-cost network technology operating in unlicensed frequency bands
NB-IoT: a technology operating in licensed frequency bands and using mobile operator infrastructure

LoRaWAN advantages: low recurring subscription cost, the option of an institution-controlled private network, deployment flexibility. Disadvantages: the municipality or institution has to set up gateway infrastructure for network coverage.

NB-IoT advantages: ready mobile infrastructure, signal density guarantees, coverage depth. Disadvantages: monthly subscription cost, mobile operator dependence.

Sector experience shows that complementary use of both technologies is the optimal solution for urban infrastructure. Within municipal geography LoRaWAN gateway deployment provides coverage density, while NB-IoT serves as a backup link in coverage gaps.

Typical Sensor Profile

The IoT sensor network in wastewater infrastructure covers a wide range of measurement points:

Collector level sensors: ultrasonic or radar based, for overflow early warning
Flow sensors: Doppler or electromagnetic technologies for accurate flow measurement
Water quality sensors: pH, dissolved oxygen, conductivity, turbidity
Gas sensors: explosive atmosphere alerts for H₂S and methane
Pumping station monitoring: run time, current profile, vibration
Stormwater overflow points: monitoring combined sewer overflows

Sensor battery life is typically 5–10 years, which significantly limits maintenance costs. Sensor prices have dropped 45 percent over the last three years; the scale economics effect is expected to continue over the next three years.

Data Management and Analytics

The data volume produced by the sensor network exceeds the scale of classic SCADA infrastructure. A mid-size municipality with 3,000–5,000 sensor nodes can produce millions of data records per day. Cloud-based data platforms come to the fore for managing this volume effectively.

Typical architecture layers:

Sensor layer: field devices
Communication layer: LPWAN gateways and base stations
Data ingest layer: cloud-based message queues (MQTT, AMQP)
Data storage: time series databases
Analytics layer: anomaly detection and forecasting models
Operator interface: map-based control dashboards

Anomaly detection is the main path for extracting value from sensor data. On top of classic threshold-based alerts, machine learning models can catch multivariate anomalies. Typical case: increased flow on a collector under dry weather conditions, which can be evaluated as a signal of infiltration.

Urban Stormwater Overflow Management

One of the highest-value application areas for LPWAN sensor networks is combined sewer overflow management. Classic infrastructure was generally far from monitoring overflow points by count and duration. With a sensor network:

Frequency and volume tracking for every overflow point
Proactive capacity management combined with rainfall forecasts
Balanced overflow management across the city (smart routing)

This infrastructure also lines up directly with the overflow reporting obligations under the renewed EU Wastewater Directive.

Adoption in Turkey

In Turkey, IoT sensor network deployments have spread quickly over the last two years. Pilots from İSKİ, İZSU, ASKİ and BUSKİ have become a standard component of urban infrastructure renewal programmes. As of 2026, the registered count of wastewater IoT sensor nodes in Turkey is around 28,000, with projections of moving above 120,000 over the next three years.

Sectoral winners include domestic sensor manufacturers, LoRaWAN gateway suppliers and data analytics software providers. Export opportunities for Turkish firms in the Middle East and North Africa markets are growing in parallel.

Implications for the Sector

IoT sensor networks structurally raise the operational maturity of the sector by making the invisible layer of wastewater infrastructure visible in real time. Items for Turkish sector players to track:

Including the IoT component in municipal infrastructure renewal programmes
R&D investment in domestic sensor and gateway production
Building data analytics and anomaly detection capability