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Data gathering is one of the most important services provided by wireless sensor networks (WSNs). Since the predominant traffic pattern in data gathering services is many-to-one communication, it is critical to understand the limitations of many-to-one information flows and devise efficient data aggregation protocols to support prolonged operations in WSNs.(More)
The theoretical and practical performance limits of a 2D ultra-wideband impulse-radio localization system operating in the far field are studied under the assumption that estimates of location are based on time-difference-of-arrival (TDOA) measurements. Performance is evaluated in the presence of errors in both the TDOA measurements and the sensor(More)
In wireless systems, accurate location estimation facilitates a variety of applications such as emergency localization, intelligent transport systems, inventory tracking, intruder detection , tracking of fire-fighters and miners, and home automation [1, 2]. In addition, location information can help optimize resource allocation and improve cooperation in(More)
— The predominate traffic patterns in a wireless sensor network are many-to-one and one-to-many communication. Hence, the performance of wireless sensor networks is characterized by the rate at which data can be disseminated from or aggregated to a data sink. In this paper, we consider the data aggregation problem. We demonstrate that a data aggregation(More)