Kevin Dorling

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Unmanned aerial vehicles, or drones, have the potential to significantly reduce the cost and time of making last-mile deliveries and responding to emergencies. Despite this potential, little work has gone into developing vehicle routing problems (VRPs) specifically for drone delivery scenarios. Existing VRPs are insufficient for planning drone deliveries:(More)
Minimizing the cost of deploying and operating a wireless sensor network (WSN) involves deciding how to partition a budget between competing expenses such as node hardware, energy, and labor. Most commercial network operators account for interest rates in their budgeting exercises, providing a financial incentive to defer some costs until a later time. In(More)
Deploying wireless sensor networks (WSNs) from unmanned aerial vehicles (UAVs) can reduce the cost of large rollouts and make it safer to deploy sensors in disaster areas. However, aerial deployment can lead to nodes with arbitrary orientations and, thus, to misaligned antennas. While this problem was observed during experiments, it has not been(More)
Compared to direct transmission, cooperative relaying can substantially decrease the receiver’s Signal-to-Noise Ratio (SNR) threshold to reach a given error rate. These SNR gains can be utilized to improve the error rate, energy consumption, or spectral efficiency of a wireless network. Focusing on practical half-duplex relaying, we derive the outage(More)
Over its lifetime, a Wireless Sensor Network (WSN) loses connectivity as more and more of its battery-powered nodes fail. In this paper, we study how to repair such a network by the gradual deployment of new sensor nodes. We provide algorithms that not only economically adjust the number of replaced nodes but also improve the network by placing the new(More)
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