In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
— We present a dynamic optimization approach to save energy in Wireless Sensor Networks (WSN) at the link level. One of the main sources of energy waste in a WSN is idle listenin...
This paper discusses a first attempt to investigate, using analytic means, the transmission delay and energy characteristics of a multi-state wireless sensor network. For such a ne...
In wireless sensor networks with many-to-one transmission mode, a multi-objective TDMA (Time Division Multiple Access) scheduling model is presented, which concerns about the packe...
The development of software for wireless sensor networks is involved and complex. This does not only impose much work on programmers but also prevents domain experts from directly ...