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Mobile sensing, which uses mobile sensors to monitor spatially correlated physical fields, is a promising technique to enhance the flexibility and coverage of wireless sensing systems. However, the position errors of mobile sensors can deteriorate the estimation accuracy of the physical fields. Thus, to optimize the estimation performance, it calls for a trade-off between the resource allocated to...
The formula E = Pt still hold true as we forge ahead in our unending quest to extend power lifetime in e-Health wireless sensors. Our research work proposes predictive MAC manipulation and intelligent node clustering with associated algorithms to further lower the energy consumption of e-Health devices equipped with wireless sensors. Predictive manipulation of MAC involves powering on and off the...
In this paper, we investigate the problem of robust congestion control in infrastructure-based cognitive radio networks (CRN). We develop an active queue management (AQM) algorithm, termed MAQ, based on multiple model predictive control (MMPC). The goal is to stabilize the TCP queue at the base station (BS) under disturbances from the varying service capacity for secondary users (SU). The proposed...
To support mobile users in contributing sensing data for making urban management decisions, in ShanghaiGrid, unified data gathering operations are to be performed. For citywide coverage, public vehicles accept data from surrounding users and hand over to computing center through wireless base stations (BSs) deployed in the city. Meanwhile, several among the vehicles are hired as relays, which assist...
Abstract-A max-min fairness resource allocation is studied for wideband cognitive radio under sensing-based spectrum sharing with simultaneous wireless information and power transfer. Specifically, the throughput of the worse-case secondary user is maximized by jointly optimizing the sensing time, transmit power and subchannel allocation, subject to constraints on energy harvesting, interference power...
The rapid advances in wireless communication and sensor technologies facilitate the development of viable mobile-Health applications that boost opportunity for ubiquitous real- time healthcare monitoring without constraining patients' activities. However, remote healthcare monitoring requires continuous sensing for different analog signals which results in generating large volumes of data that needs...
Basically, a WBAN consists of few wearable sensors attached to body parts, clothes, implanted underneath the skins or inner body. A WBAN consists of a central hub (i.e., base station) that controls and communicates with sensors. WBANs may deeply overlap on each other in a crowded area such as hospital because of their rapid mobility, small network size, flexible topology, and higher network density...
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