Titlebook: Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems; Maciej Patan Book 2012 Springer-Verlag GmbH Berlin

emanate

書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems影響因子(影響力)




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems影響因子(影響力)學(xué)科排名




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems網(wǎng)絡(luò)公開度




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems被引頻次




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems被引頻次學(xué)科排名




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems年度引用




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems年度引用學(xué)科排名




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems讀者反饋




書目名稱Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems讀者反饋學(xué)科排名

先鋒派

聯(lián)合

建筑師

paltry

Sensor Activation for Scanning Networks,nt where their wide applicability is unquestionable [29, 37, 98, 108, 110, 245, 309, 315]. This is especially important in the context of spatiotemporal systems where a large number of sensors can be used for the task of monitoring the dynamics of a system.

synovium

Combinatorial Approach to Sensor Activation,tive search over a predefined set of candidate solutions and the combinatorial nature of the design problem is taken into account very occasionally [305]. Obviously, such an approach is feasible for a relatively small number of possible sensor locations, and becomes useless as the number of possible candidate locations increases.

侵略主義

Conclusions and Further Research Directions,tion, the quality of control and prediction of system behavior. Therefore, sensor networks, being, in fact, modern observational systems which have recently emerged in the context of monitoring distributed processes, are becoming a very important field of research.

Licentious

聯(lián)想記憶

laparoscopy

Book 2012lications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of