
handle: 2434/25936 , 2434/13008 , 11583/2497107 , 11311/240641 , 11311/553971 , 11589/9576 , 11589/21345
handle: 2434/25936 , 2434/13008 , 11583/2497107 , 11311/240641 , 11311/553971 , 11589/9576 , 11589/21345
This paper presents the main results obtained in the Agencies for PErception in environmental monitoring (APE) Project, funded by the Italian Ministry of University and Research, and aimed at studying the employment of advanced distributed artificial intelligence techniques in developing cooperative multiagent systems oriented to support environmental monitoring applications. In particular, this paper describes issues about communication between perceptive agents and two implemented multiagent systems for monitoring electromagnetic fields and for pollutant evaluation.
Air pollution; Cooperative systems; Electromagnetic fields; Mobile robots; Robot sensing systems, Cooperative systems; Mobile robots; Robot sensing systems; Electromagnetic fields; Air pollution, Air pollution; Cooperative systems; Electromagnetic fields (EMFs); Mobile robots; Robot sensing systems; Sensor networks; Smart sensors
Air pollution; Cooperative systems; Electromagnetic fields; Mobile robots; Robot sensing systems, Cooperative systems; Mobile robots; Robot sensing systems; Electromagnetic fields; Air pollution, Air pollution; Cooperative systems; Electromagnetic fields (EMFs); Mobile robots; Robot sensing systems; Sensor networks; Smart sensors
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
