On The Implementation of Distributed Asynchronous Non-linear Kernel Methods Over Wireless Sensor Networks
In this paper, the authors face the implementation of a non-linear kernel method for regression on a Wireless Sensor Network (WSN) based on MICAz motes. The operating system used is TinyOS 2.1.1. The algorithm estimates the value of some magnitude from the measurements of the motes in a distributed approach where information and computations are performed asynchronously. This proposal includes a research on the potential problems encountered along with the developed solutions. Namely, matrix and floating computations, acknowledgement mechanisms and data loss.