engleski

Performance Evaluation Model of Optimization Methods for Wireless Sensor Networks

Wireless sensor networks are often composed of large number of wireless sensor nodes that are mostly using battery supplies. Nodes are small and equipped with sensors that cooperatively monitor physical world. Communication, sensing and computing have the most influence on performance and power consumption of wireless sensor networks. Various optimization methods are used to decrease power consumption and improve performance of wireless sensor networks. One of the novel methods is cross-layer approach. In this paper, first we present the advantages of cross-layer approach. The articles that are using a cross-layer approach for improving performance and energy preservation in wireless sensor networks are reviewed and state of the art is presented. In their work, scientists propose various optimization methods that are improving performance and decreasing power consumption. One of the fundamental problems is how to systematically make the performance evaluation and get the real contribution of these proposed optimization methods. In this paper, we develop benchmark methodology and performance evaluation model of various optimization methods for wireless sensor networks. Furthermore, we present the benchmark application for collecting and comparing performance measurement results of various optimization methods.

benchmark application; benchmark methodology; cross-layer; metrics; performance

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