| {"1428759|1230643": ["Wireless sensor networks (WSNs), comprising of tiny, radio-enabled sensing devices open up new opportunities to observe and interact with the physical world, and have been applied in domains ranging from patient health monitoring through the use of biomedical sensors to military applications such as battlefield surveillance [1].", "Wireless sensor networks have been a very active area of research in recent years (see [1] for a survey)."]} | |
| {"16592951|1230643": ["Such networks have the potential to enable a wide range of applications in environmental monitoring, health, military and security (see [1] for a survey of applications)."]} | |
| {"16102897|1230643": ["Sensor networks have been a very active area of research in recent years (see [1] for a survey), and there is a large body of work on data collection from sensor networks that applies higher-level techniques to sensor network data processing."]} | |
| {"207172599|3330313": []} | |
| {"205287315|1230643": ["A wireless sensor network consists of sensor nodes deployed over a geographical area for monitoring physical phenomena like temperature, humidity, vibrations, seismic events, and so on [5].", "Data are transferred from sensor nodes to the sink through a multi-hop communication paradigm [5]."]} | |
| {"7774517|3330313": ["The term outlier, also known as anomaly, originally stems from the field of statistics [5].", "Hodge and Austin [5] address outlier detection methodologies from perspective of three fields of computing, i.", "Hodge and Austin [5] address outlier detection methodologies from perspective of three fields of computing, i.e., statistics, neural networks and machine learning."]} | |
| {"7774517|1230643": ["For a sensor node, the communication cost is often several orders of magnitude higher than the computation cost [20]."]} | |