Shoubhik Mukhopadhyay

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Wireless sensor networks are a fast-growing class of systems. They offer many new design challenges, due to stringent requirements like tight energy budgets, low-cost components, limited processing resources, and small footprint devices. Such strict design goals call for technologies like nanometer-scale semiconductor design and low-power wireless(More)
One of the main challenges in wireless sensor networks is to provide low-cost, low-energy reliable data collection. Reliability against transient errors in sensor data can be provided using the model-based error correction described in [1], in which temporal correlation in the data is used to correct errors without any overheads at the sensor nodes. In the(More)
One or the main challenges in adoption and deployment of wireless networked sensing applications is ensuring reliable sensor data collection and aggregation, while satisfying the low-cost, low-energy operating constraints of such applications. A wireless sensor network is inherently vulnerable to different sources of unreliability resulting in transient(More)
Increasing interest in sensor networking and ubiquitous computing has created a trend towards embedding more and more intelligence into our surroundings. This enables thin wireless clients to support powerful applications by using processing resources that are available around them. One of the major challenges is how to schedule both the embedded computing(More)
With the universal adoption of mobile communication devices for many common computing applications like email and web access, there is a growing demand to use these devices for richer applications that require high computing power. This paper looks at a way of enabling thin wireless clients to support powerful applications by using processing and networking(More)
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