Data assessment

You need to build a process to check your measurements, and that the results stay genuine and authentic.

Transparency in the system design allows open validation by third parties that the system does what it says.

Data protection

You need cyber security and content protection to prevent your systems and data being maliciously modified.

Think of the famous Automotive Dieselgate: it's the worst which can happen to an environment monitoring system. The two criteria/methods above prevent the purpose of the system being changed against your intention.

1. In the sensor domain, one has to use sensors with good sensitivity.

2. The installation should be easy.

3. The electrical signals produced should be amplified enough to avoid false alarm.

4. A log book should be maintained.

Data assessment

You need to build a process to check your measurements, and that the results stay genuine and authentic.

Transparency in the system design allows open validation by third parties that the system does what it says.

Data protection

You need cyber security and content protection to prevent your systems and data being maliciously modified.

Think of the famous Automotive Dieselgate: it's the worst which can happen to an environment monitoring system. The two criteria/methods above prevent the purpose of the system being changed against your intention.

The speed of data transfer in order to provide real-time results.

Consider to use an IoT ontology, e.g. https://w3c.github.io/sdw/ssn/.

There are sensors that need to be calibrated periodically, so the confidence level of acquired data is also important.

Humidity and Temperature sensor will also help in this field of research. through the data collected you will define if the there is a pollution.

1. Cloud data must be secure from any type of attack.

2. Less power consumption or energy harvesting enabled system.