This work proposes and evaluates a sampling algorithm based on wavelet transforms with Coiflets basis to reduce the data sensed in wireless sensor networks applications. The Coiï...
Wireless sensor networks have created new opportunities for data collection in a variety of scenarios, such as environmental and industrial, where we expect data to be temporally ...
In wireless sensor networks, the data transmitted from the sensor nodes are vulnerable to corruption by errors induced by noisy channels and other factors. Hence it is necessary t...
Gopinath Balakrishnan, Mei Yang, Yingtao Jiang, Yo...
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
Boundary recognition is an important and challenging issue in wireless sensor networks when no coordinates or distances are available. The distinction between inner and boundary n...
Olga Saukh, Robert Sauter, Matthias Gauger, Pedro ...