It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
— This paper studies the tradeoff between energy consumption and application performance in wireless sensor networks by investigating the interaction between network lifetime max...
In this paper we propose event-driven power management techniques for wireless sensor networks. To accomplish this we model a sensor network application as a set of application-spe...
Sang Hoon Lee, Byong-Ha Cho, Lynn Choi, Sun-Joong ...
In this work we present three new distributed, probabilistic data propagation protocols for Wireless Sensor Networks which aim at maximizing the network's operational life and...
Ioannis Chatzigiannakis, Lefteris M. Kirousis, Tho...