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Wireless sensor networks have recently become an incredibly active research area in the networking community. Much attention has been given to the construction of power-conserving protocols and techniques, as battery life is the one factor that prevents successful wide-scale deployment of such networks. These techniques concentrate on the optimization of network behavior, as the wireless transmission of data is the most expensive operation performed by a sensor node. Very little work has been published on the integration of such techniques, and their suitability to various application domains. This paper presents an exhaustive power consumption analysis of network stacks constructed with common algorithms, to determine the interactions between such algorithms and the suitability of the resulting network stack for various applications.
Senior Honors Thesis. Advisor: Bob Gray.
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Michael De Rosa, "Power Conservation in the Network Stack of Wireless Sensors." Dartmouth Computer Science Technical Report TR2003-458, June 2003.
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