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The rapid development of the theory and application makes it imperative to find the best strategies to improve the energy efficiency of wireless sensor networks. In this paper, we address the following question: given a multi-to-one wireless sensor network in physical space, what is the optimal routing strategy to enable the energy-efficiency of the network with regard to a given mission and a certain...
In this paper a fuzzy adaptive comfort temperature (FACT) model has been proposed for the intelligent control of smart buildings. A multi-agent control system is applied for the energy management and building operation. Particle Swarm Optimization (PSO) is applied to optimize the set points based on the comfort zone. Integrating a grey predictor to predict outdoor temperature with the FACT model shows...
One of the most critical issues in energy-limited wireless sensor networks (WSN) is how to make the most of energy efficient strategies to improve system performance. In this paper the system performance is represented by energy-efficiency and data-efficiency. First the case where all the wireless nodes are distributed uniformly is considered and an optimization problem is set up as well as resolved...
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