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—Sensor network MAC protocols usually employ periodic sleep and wakeup, achieving low duty-cycle to save energy and to increase the lifetime of battery-powered sensor devices. However, existing protocols require all the sensor nodes to operate on the same static schedule, waking up all the nodes at the same fixed interval periodically. This paper proposes a(More)
High field MRI of the brain occasionally exhibits imaging artifacts; most artifacts are obvious and easily recognized, but some are subtle and mimic disease. A thorough understanding of brain MRI artifacts is important to avoid potential diagnostic pitfalls. Some imaging techniques or procedures could be utilized to remove or identify artifacts. These(More)
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-specific events that the application may contain. Events are first classified into scheduled and non-scheduled events. These events are further classified according to the size and(More)
— Since WSNs have restricted energy sources, the energy efficiency of a synchronization scheme is as important as the accuracy of a clock. To accomplish both the energy efficiency and the accuracy, we propose a new clock synchronization scheme called Chaining Clock Synchronization (CCS). In CCS, a subset of nodes whose transmission range cover the overall(More)
Networks often possess mesoscale structures, and studying them can yield insights into both structure and function. It is most common to study community structure, but numerous other types of mesoscale structures also exist. In this paper, we examine core-periphery structures based on both density and transport. In such structures, core network components(More)
We introduce several novel and computationally efficient methods for detecting " core– periphery structure " in networks. Core–periphery structure is a type of mesoscale structure that consists of densely connected core vertices and sparsely connected peripheral vertices. Core vertices tend to be well-connected both among themselves and to peripheral(More)