In their EWSN`07 paper [1], Giusti et al. proposed a decentralized wake-up scattering algorithm for temporally spreading the intervals in which the nodes of a wireless sensor network (WSN) are active, and showed that the resulting schedules significantly improve over the commonly-used random ones, e.g., by providing greater area coverage at less energy costs. However, an open question remained about whether further improvements are possible. Here, we complete the work in [1] by providing a (centralized) optimal solution that constitutes a theoretical upper bound for wake-up scattering protocols. Simulation results shows that the decentralized algorithm proposed in [1] comes within 4% to 11% of the optimum. Moreover, we show that the modeling framework we use to derive the solution, based on integer programming techniques, allows for a particularly efficient solution. The latter result discloses important opportunities for the practical utilization of the model. The model is also general enough to encompass alternative formulations of the problem.

Solving the Wake-Up Scattering Problem Optimally

Murphy, Amy Lynn;Picco, Gian Pietro;
2009-01-01

Abstract

In their EWSN`07 paper [1], Giusti et al. proposed a decentralized wake-up scattering algorithm for temporally spreading the intervals in which the nodes of a wireless sensor network (WSN) are active, and showed that the resulting schedules significantly improve over the commonly-used random ones, e.g., by providing greater area coverage at less energy costs. However, an open question remained about whether further improvements are possible. Here, we complete the work in [1] by providing a (centralized) optimal solution that constitutes a theoretical upper bound for wake-up scattering protocols. Simulation results shows that the decentralized algorithm proposed in [1] comes within 4% to 11% of the optimum. Moreover, we show that the modeling framework we use to derive the solution, based on integer programming techniques, allows for a particularly efficient solution. The latter result discloses important opportunities for the practical utilization of the model. The model is also general enough to encompass alternative formulations of the problem.
2009
9783642002236
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/4626
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