Ranjani Sridharan

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In recent literature it has been reported that Dynamic Power Management (DPM) may lead to decreased reliability in real-time embedded systems. The ever-shrinking device sizes contribute further to this problem. In this paper, we present a reliability aware power management algorithm that aims at reducing energy consumption while preserving the overall(More)
Primary-Backup (PB) model has been a widely used model for reliability in dual-processor real-time systems. In recent literature, there have been a few works focussing on minimizing energy consumption of periodic task sets executing on such systems. One of the major drawbacks of these works is that they ignore the effects of frequency-scaling on fault(More)
Due to the limited bandwidth of the wireless links in ad hoc networks, compressing the packet headers is an attractive method for efficient usage of the frequency spectrum and for performance enhancement. The objective of this work is to demonstrate the use of a novel end-to-end header compression technique for multi-hop wireless ad hoc networks. Our(More)
Due to the limited bandwidth of the wireless links in ad hoc networks, compressing the packet headers is an attractive method for efficient usage of the frequency spectrum and for performance enhancement. The objective of this work is to demonstrate the use of a novel end-to-end header compression technique for multi-hop wireless ad hoc networks. Our(More)
Real-time embedded systems are characterized by their need to complete task executions within their scheduled deadlines. Task scheduling could get complicated due to the occurrence of faults in such systems. Traditionally, researchers have accounted for faults by assuming a constant number of faults occuring in the system. However, such an assumption may(More)
The objective of this study is to find a sequence of jobs for the permutation flow shop to minimize makespan. A feed forward back propagation neural network is used to solve the 10 machine problem taken from the literature. The network is trained with the optimal sequences for five, six and seven jobs problem. This trained network is then used to solve the(More)
Biological applications that require sensing individual cells have led to developments in the synthesis of large multielectrode arrays and single cell isolating microstructures. This in turn drives the need for the integration of low power electronic circuitry at or very close to the site of activity. We describe low voltage low power CMOS amplifiers that(More)
This paper presents the details of simulation studies conducted to investigate the effects of multi-level scheduling decisions in a failure prone FMS. Initially, the configuration of the FMS under study has been established. This included production machines, buffers, loading and unloading stations, AGV's and operating rules. Six failure-repair situations(More)
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