Data Collection Maximization in Renewable Sensor Networks via Time-Slot Scheduling
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Data Collection Maximization in Renewable Sensor Networks via Time-Slot Scheduling
Abstract— Data Collection Maximization in Renewable Sensor Networks via Time-Slot Scheduling. We study data collection in an energy renewable sensor network for scenarios such as traffic monitoring on busy highways, where sensors are deployed along a predefined path < Final Year Projects 2016 > the highway and a mobile sink travels along the path to collect data from one-hop sensors periodically. As sensors are powered by renewable energy sources, time-varying characteristics of ambient energy sources poses great challenges in the design of efficient routing protocols for data collection in such networks. We first formulate a novel data collection maximization problem by adopting multi-rate data transmissions and performing transmission time slot scheduling, and show that the problem is NP-hard.
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