Christopher M. Sadler

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Sensor networks are fundamentally constrained by the difficulty and energy expense of delivering information from sensors to sink. Our work has focused on garnering additional significant energy improvements by devising computationally-efficient lossless compression algorithms on the source node. These reduce the amount of data that must be passed through(More)
The enormous potential for wireless sensor networks to make a positive impact on our society has spawned a great deal of research on the topic, and this research is now producing environment-ready systems. Current technology limits coupled with widely-varying application requirements lead to a diversity of hardware platforms for different portions of the(More)
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI) services. These workloads perform significant computing over massive data sets per user request but, unlike their offline counterparts (such as MapReduce computations), they require responsiveness in the(More)
ZebraNet is a mobile, wireless sensor network in which nodes move throughout an environment working to gather and process information about their surroundings[10]. As in many sensor or wireless systems, nodes have critical resource constraints such as processing speed, memory size, and energy supply; they also face special hardware issues such as sensing(More)
Wireless sensor networks have a wide range of applications and are deployed in increasingly varied situations. Many deployments have focused on long term monitoring, which uses nodes that are delay-tolerant and depend on low-power sleep to minimize the energy consumption and extend operational lifetime. These nodes often have many software modules(More)
Communications in mobile and frequently-disconnected sensor networks are characterized by low-bandwidth radios, unreliable links, and disproportionately high energy costs compared to other system operations. Therefore, we must use as efficiently as possible any periods of connectivity that we have. For this reason, nodes in these networks need mechanisms(More)
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