Nowadays, wireless sensor networks are being used for a fast-growing number of different application fields (eg, habitat monitoring, highway traffic monitoring, remote surveillance) …
Abstract Wireless Sensor Network (WSN) monitoring takes a primary role in many industrial and research processes. Huge amounts of WSN sensor readings are nowadays available …
G Pyun, U Yun - Journal of Internet Computing and Services, 2013 - koreascience.kr
Approximate Frequent pattern mining is to find approximate patterns, not exact frequent patterns with tolerable variations for more efficiency. As the size of database increases …
Classification of sensory data is a major research problem in wireless sensor networks and it can be widely used in reducing the data transmission in wireless sensor networks effectively …
VP Jayachitra, S Ramachandran - … Applications 2012 (INDIA 2012) held in …, 2012 - Springer
In the recent decade the incidence of animal fatalities involving trains has remained high in the country. According to recent survey by Wildlife Trust of India (WTI), 72 animals are dying …
With the advances of wireless sensor network and their ability to generate a large amount of data, data mining techniques to extract useful knowledge regarding the underlying network …
In this work, a novel clustering and aggregating algorithm is proposed to reduce energy consumption in wireless sensor networks (WSN) by focusing on regulating the inter-cluster …