Recent advances in nanotechnology, electronic technology and biology have enabled the development of bio-inspired nanoscale sensors. The cooperation among the bionanosensors in a network is envisioned to perform complex tasks. Clock synchronization is essential to establish diffusion-based distributed cooperation in the bionanosensor networks. This paper proposes a maximum-likelihood estimator ...

A distributed health data network is a system that allows secure remote analysis of separate data sets, each comprising a different medical organization's or health plan's records. Distributed health data networks are currently being planned that could cover millions of people, permitting studies of comparative clinical effectiveness, best practices, diffusion of medical technologies, and quali...

In many embedded and distributed applications, very large number of sensors are deployed to gather important information for remote surveillance, continual monitoring and distributed target tracking. These sensors may be highly mobile and scattered over a wide area. Dissemination and fusion of real-time sensor information through these large self-organizing sensor networks must adapt rapidly to...

The rapid advances in processor, memory and radio technology have enabled the development of distributed networks of sensor nodes capable of sensing and communicating using wireless media. The basic operation in sensor networks is the systematic gathering and transmission of sensed data to the end-user. The severe energy constraints and limited computing capabilities of the sensors present majo...

Coverage has been an active research area in mobile sensor networks. For a randomly placed large-scale sensor network, sensor nodes would most probably be distributed asymmetrically, and it requires the coverage algorithm to do with the diffusion and contraction of the network. Most of the existed algorithms are on the assumption that sensor nodes are initially densely distributed or the states...

We consider the problem of distributed dictionary learning, where a set of nodes is required to collectively learn a common dictionary from noisy measurements. This approach may be useful in several contexts including sensor networks. Diffusion cooperation schemes have been proposed to solve the distributed linear regression problem. In this work we focus on a diffusion-based adaptive dictionar...

In this paper, three distributed load balancing algorithms for dynamic networks are investigated. Dynamic networks are networks in which the topology may change dynamically. The definition of a dynamic network is introduced and its graph model is presented. The main result of this study consists in proving the convergence toward the uniform load distribution of the diffusion algorithm on an arb...