Bucket scheduling of solar powered sensor networks via cross-layer optimization
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This document summarizes a scheduling algorithm called BUCKET that aims to maximize the utilization of solar energy in sensor networks. BUCKET is a cross-layer optimization approach that involves 4 stages: 1) predicting energy harvesting and traffic, 2) internode optimization of transport and network layers, 3) intranode optimization of MAC layers, and 4) flow control using a token-bucket algorithm. Simulations show the BUCKET algorithm improves average service rate by 12-15% over conventional methods for a sensor network monitoring structural health of bridges with 5 sensor types.
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Bucket scheduling of solar powered sensor networks via cross-layer optimization
- 1. BUCKET: Scheduling of Solar-Powered Sensor Networks via Cross- Layer Optimization Abstract: Renewable solar energy harvesting systems have received considerable attention as a possible substitute for conventional chemical batteries in sensor networks. However, it is difficult to optimize the use of solar energy based only on empirical power acquisition patterns in sensor networks. We apply acquisition patterns from actual solar energy harvesting systems and build a framework to maximize the utilization of solar energy in general sensor networks. Toachieve this goal, we develop a cross-layer optimization-based scheduling scheme called binding optimization of duty cycling and networkingthrough energy tracking (BUCKET), which is formulated in four-stages: 1) prediction of energy harvesting and arriving traffic; 2) internode optimization at the transport and network layers; 3) intranode optimization at the medium access control layer; and 4) flow control of generated communication task sets using a token-bucket algorithm. Monitoring of the structural health of bridges is shown to be a potential application of an energy-
- 2. harvesting sensor network. The example network deploys five sensortypes: 1) temperature; 2) strain gauge; 3) accelerometer; 4) pressure; and 5) humidity. In the simulations, the BUCKET algorithm displays performance enhancements of ~12-15% overthose of conventional methods in terms of the average service rate.