G. Sudha Anil Kumar

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Recent technological advances have opened up several distributed real-time applications involving battery-driven embedded devices with local processing and wireless communication capabilities. Energy management is the key issue in the design and operation of such systems. In this paper , we consider a single-hop networked real-time embedded system where(More)
Wireless technology is increasingly finding its way into industrial communication because of the tremendous advantages it is capable of offering. However, the high bit error rate characteristics of wireless channel due to conditions like attenuation, noise, channel fading and interference seriously impact the timeliness and guarantee that need to be(More)
In this paper, we present a novel intra-task Dynamic Voltage Scheduling (DVS) algorithm based on the knowledge of frequently executed paths in the control flow graph for real time systems. The basic idea is to construct a common path composing all the frequently executed paths (hot-paths) and perform DVS scheduling based on this common path, rather than the(More)
Performing end-to-end energy management for the data aggregation application poses certain unique challenges particularly when the computational demands on the individual nodes are significant. In this paper, we address the problem of minimizing the total energy consumption of data aggregation with an end-to-end latency constraint while taking into account(More)
Spatial data mining, or knowledge discovery in spatial database, refers to the extraction of implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial databases. Spatial data mining is the process of discovering interesting characteristics and patterns that may implicitly exist in spatial database. A huge amount of spatial(More)
In a shared-medium wireless network, an effective technique that allows for a tradeoff of message transmission time for energy savings is to transmit messages over multiple smaller hops as opposed to using the long direct source-destination hop. In this context, we address the problem of scheduling messages with probabilistic deadline constraints. Unlike(More)
In this paper, we present a novel intra-task Dynamic Voltage Scheduling (DVS) algorithm based on the knowledge of frequently executed paths in the control flow graph for real-time embedded systems. The basic idea is to construct a common path composing all the frequently executed paths (hot-paths) and perform DVS scheduling based on this common path, rather(More)
Traditionally, real-time systems are built for a very small set of mission-critical applications like space crafts, avionics and other distributed control systems. The various steps in building such systems include, characterizing the workload, designing scheduling algorithms and performing schedulability analysis. Conventional teaching methodologies for(More)
Clustering spatial data is a well-known problem that has been extensively studied to find hidden patterns or meaningful subgroups , it is the problem of grouping data based on similarity and has many applications such as satellite imagery, geographic information systems, medical image analysis, pattern recognition, data clustering and signal processing.(More)
In this paper, we address the problem of scheduling a set of periodic real-time messages in a wireless network with the objective of minimizing the total energy consumption while meeting deadline and reliability constraints. We formally prove that this problem is NP-hard and solve it in two stages. First, we consider a simple model that assumes that the(More)