The paper investigates characterizing value of information in vehicular networks and applies analytic hierarchy process via simulation to prioritize sensor data by spatial, temporal, and quality criteria.
Maximizing the value of sensed information in underwater wireless sensor networks via an autonomous underwater vehicle
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Investigating Value of Information in Future Vehicular Communications
The paper investigates characterizing value of information in vehicular networks and applies analytic hierarchy process via simulation to prioritize sensor data by spatial, temporal, and quality criteria.