— Many tasks require multiple sensing capabilities; in Wireless Sensor Networks (WSN), it is expensive to deploy a homogeneous network wherein every sensor has the same functiona...
Xiaoming Lu, Matt Spear, Karl N. Levitt, Shyhtsun ...
Wireless sensor networks have traditionally focused on low duty-cycle applications where sensor data are reported periodically in the order of seconds or even longer. This is due ...
Rahul Mangharam, Anthony Rowe, Raj Rajkumar, Ryohe...
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
Wireless sensor networks (WSNs) are known to be highly energy-constrained and each network’s lifetime has a strong dependence on the nodes’ battery capacity. As such, the netw...