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There exist several applications of sensor networks wherere liability of data delivery can be critical. While the redundancy inherent in a sensor network might increase the degree of reliability, it by no means can provide any guaranteed reliability semantics. In this paper, we consider the problem of reliable sink-to-sensors data delivery. We first(More)
— Transmission power control in ad-hoc networks has hitherto been used only for achieving network connectivity. It has been implicitly assumed that the optimal throughput performance in ad-hoc networks can be achieved when using the minimum transmission power required to keep the network connected. However, in this paper we argue that such an assumption(More)
In this paper we study the performance of TCP over mobile ad-hoc networks. We present a comprehensive set of simulation results and identify the key factors that impact TCP's performance over ad-hoc networks. We use a variety of parameters including link failure detection latency, route computation la-tency, packet level route unavailability index, and flow(More)
There exist several applications of sensor networks where the reliability of data delivery can be critical. Although the redundancy inherent in a sensor network might increase the degree of reliability, it by no means can provide any guaranteed reliability semantics. In this paper, we consider the problem of reliable sink-to-sensors data delivery. We first(More)
The issue of relability, thus far, has not been addressed throughly to any extent in sensor networking research. To the best of our knowledge the first such work that focused on some aspect of reliable communication in sensor networks appeared only in [1]. In this paper, we focus on the problem of communication reliability from the sink to the sensors in a(More)
Sensors-to-sink data in wireless sensor networks (WSNs) are typically correlated with each other. Exploiting such correlation when performing data aggregation can result in considerable improvements in the bandwidth and energy performance of WSNs. In order to exploit such correlation, we present a scalable and distributed correlation-aware aggregation(More)
Many emerging high performance applications require distributed infrastructure that is significantly more powerful and flexible than traditional grids. Such applications require the optimization, close integration, and control of all grid resources, including networks. The EnLIGHTened (ENL) computing project has designed an architectural framework that(More)
Google's MapReduce has gained significant popularity as a platform for large scale distributed data processing. Hadoop [1] is an open source implementation of MapReduce [11] framework, originally it was developed to operate over single cluster environment and could not be leveraged for distributed data processing across federated clusters. At multiple(More)