Debashis Panigrahi

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Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy delivered by the battery, and hence the battery lifetime. To facilitate exploration of alternative implementations for a mobile embedded system, in this paper we address the issue(More)
—One of 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)
—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)
With the projected significant growth in mobile internet and multimedia services, there is a strong demand for next-generation appliances capable of wireless image communication. One of the major bottlenecks in enabling wireless image communication is the high energy requirement, which may surpass the current and future capabilities of battery technologies.(More)
The availability of reusable IP-cores, increasing time-to-market and design productivity gap, and enabling deep sub-micron technologies have led to core-based system-on-chip (SoC) design as a new paradigm in electronic system design. Validation of these complex hardware/software systems is the most time consuming task in the design flow. In this paper, we(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(More)
Major technologic and economic factors are driving a revolution in computer and communication system design. Networking applications like network processors, routers on chips and home gateways, portable products like wireless telephones and internet appliances, multimedia products like set-top boxes, and embedded controllers in automobiles, printers, and(More)
— As an increasing number of electronic systems are powered by batteries, battery life becomes a primary design consideration. Maximizing battery life requires system designers to develop an understanding of the capabilities and limitations of the batteries that power such systems, and to incorporate battery considerations into the system design process.(More)